General Instructions :-
- Rotate your Mobile Device for Best Performance and Design.
- Total duration of examination is X minutes.
- Total number of questions are 25, which contains 25 questions of English.
- The Question Palette displayed on the right side of screen will show the status of each question using one of the following symbols:
- Not Visited questions in White background colour.
- Answered questions in green colour.
- Unanswered questions in red colour.
- Marked for review questions in purple colour
- The clock will be set at the server. The countdown timer in the top right corner of screen will display the remaining time available to you for completing the examination. When the timer reaches zero, the examination will automatically submit or end by itself. You also can end or submit your examination by clicking on submit button.
- Marked for review status for a question simply indicates that you would like to review the question again.
- Please note that if a question is answered and ‘marked for review’, your answer for that question will be considered in the evaluation.
- You can click on the question palette to navigate faster across questions.
Answering a Question :-
- Procedure for answering multiple-choice type questions:
- To select your answer, click on the button of one of the options.
- To deselect your chosen answer, click again on the button of the chosen option again or click on the Clear Response button.
- To change your chosen answer, click on the button of another option.
- To save your answer, you MUST click on the Save Next button.
- To mark a question for review, click on the Mark for Review & Next button.
- To change answer to a question that has already been answered, select that question from the Question Palette and then follow the procedure for answering that type of question.
- Note that ONLY questions for which answers are either saved or marked for review after answering, will be considered for evaluation.
- To change your answer to a question that has already been answered, first select that question for answering and then follow the procedure for answering that type of question.
- Note that ONLY Questions for which answers are saved or marked for review after answering will be considered for evaluation.
Navigating through sections :-
- Click on the question number in the Question Palette at the right of your screen to go to a question.
- Note that using this option does NOT save your answer.
- Click on Save & Next to save your answer for a question and then move to the next question.
- If you want to keep a question marked for review, click on the button Mark for Review & Next to save your answer for the current question and then proceed to the next question.
Read the following Instruction carefully :-
- This test comprises of multiple-choice questions.
- Each question will have only one of the available options as the correct answer.
- You are advised not to close the browser window before submitting the test.
- In case, if the test does not load completely or becomes unresponsive, click on browser's refresh button to reload.
Marking Scheme :-
- 1 marks will be awarded for each correct answer.
- There will be 0.25 negative marking for each wrong answer.
- No marks will be deducted for un-attempted questions
SECTION
Question No. 1-0.25
+1 Marks
Direction: In the following questions, a grammatically correct and meaningful sentence is given
which is divided into five parts, where the first part is fixed and highlighted , in the remaining parts of the sentence namely (A),(B),(C) and (D) You have to arrange
the four parts to make a contextually and grammatically meaningful sentence. If no such rearrangement is possible mark (e) as your answer i.e. 'No rearrangement required'.
Question: (A) the merger of Bharti Infratel
(B) the world’s second largest
(C) and Indus Towers will create
(D) tower company
(B) the world’s second largest
(C) and Indus Towers will create
(D) tower company
Question No. 2-0.25
+1 Marks
Direction: In the following questions, a grammatically correct and meaningful sentence is given
which is divided into five parts, where the first part is fixed and highlighted , in the remaining parts of the sentence namely (A),(B),(C) and (D) You have to arrange
the four parts to make a contextually and grammatically meaningful sentence. If no such rearrangement is possible mark (e) as your answer i.e. 'No rearrangement required'.
Question: (A) upcoming visit to India
(B) the long-awaited trade agreement
(C) during US President Donald Trump's
(D) appears to be off the table
(B) the long-awaited trade agreement
(C) during US President Donald Trump's
(D) appears to be off the table
Question No. 3-0.25
+1 Marks
Direction: In the following questions, a grammatically correct and meaningful sentence is given
which is divided into five parts, where the first part is fixed and highlighted , in the remaining parts of the sentence namely (A),(B),(C) and (D) You have to arrange
the four parts to make a contextually and grammatically meaningful sentence. If no such rearrangement is possible mark (e) as your answer i.e. 'No rearrangement required'.
Question: (A) Leaders of the Railway Employees Organization
(B) alleged that the government wants to
(C) hand over the rail infrastructure
(D) to the private operators for financial benefit
(B) alleged that the government wants to
(C) hand over the rail infrastructure
(D) to the private operators for financial benefit
Question No. 4-0.25
+1 Marks
Direction: In the following questions, a grammatically correct and meaningful sentence is given
which is divided into five parts, where the first part is fixed and highlighted , in the remaining parts of the sentence namely (A),(B),(C) and (D) You have to arrange
the four parts to make a contextually and grammatically meaningful sentence. If no such rearrangement is possible mark (e) as your answer i.e. 'No rearrangement required'.
Question: (A) China has not yet given
(B) India the go-ahead to send an
(C) to coronavirus hit Wuhan
(D) aircraft with medical supplies
(B) India the go-ahead to send an
(C) to coronavirus hit Wuhan
(D) aircraft with medical supplies
Question No. 5-0.25
+1 Marks
Direction: In the following questions, a grammatically correct and meaningful sentence is given
which is divided into five parts, where the first part is fixed and highlighted , in the remaining parts of the sentence namely (A),(B),(C) and (D) You have to arrange
the four parts to make a contextually and grammatically meaningful sentence. If no such rearrangement is possible mark (e) as your answer i.e. 'No rearrangement required'.
Question: (A) mammals and birds move from
(B) with a change in season, many
(C) one country to another in search of food
(D) and shelter, and for breeding
(B) with a change in season, many
(C) one country to another in search of food
(D) and shelter, and for breeding
Question No. 6-0.25
+1 Marks
Direction: In the following passage there are blanks, each of which has been numbered. These numbers are printed below the passage and against each, five options are given. Find out the appropriate word which fits the blank appropriately. Bumblebees, among the most important pollinators, are in ________________. Fuzzy and buzzy, they excel at spreading pollen and fertilizing many types of wild flora, as well as crucial agricultural crops like tomatoes, blueberries, and squash. But their numbers are ________________. New research using a massive dataset found that the insects are far less common than they used to be; in North America, you are nearly 50 percent less
likely to see a bumblebee in any given area than you were prior to 1974. Moreover, several once-common species have ________________ from many areas they were
once found, becoming locally extinct in those places. For example, the rusty patched bumblebee, which used to flourish in Ontario, is no longer found in all of Canada—in
the U.S., it’s endangered. In a new paper published this week in the journal Science, researchers used a complex modeling process to ________________ that their ________________ is driven in large part by climate change. Specifically, the scientists found that in areas that have become hotter in the last generation, or have experienced more extreme temperature swings, bumblebees are less abundant. In Europe, they are 17 percent less plentiful than they were in the early 20th century. The scientists examined the abundance of 66 species across the two continents.
Question:
Question No. 7-0.25
+1 Marks
Direction: In the following passage there are blanks, each of which has been numbered. These numbers are printed below the passage and against each, five options are given. Find out the appropriate word which fits the blank appropriately. Bumblebees, among the most important pollinators, are in ________________. Fuzzy and buzzy, they excel at spreading pollen and fertilizing many types of wild flora, as well as crucial agricultural crops like tomatoes, blueberries, and squash. But their numbers are ________________. New research using a massive dataset found that the insects are far less common than they used to be; in North America, you are nearly 50 percent less
likely to see a bumblebee in any given area than you were prior to 1974. Moreover, several once-common species have ________________ from many areas they were
once found, becoming locally extinct in those places. For example, the rusty patched bumblebee, which used to flourish in Ontario, is no longer found in all of Canada—in
the U.S., it’s endangered. In a new paper published this week in the journal Science, researchers used a complex modeling process to ________________ that their ________________ is driven in large part by climate change. Specifically, the scientists found that in areas that have become hotter in the last generation, or have experienced more extreme temperature swings, bumblebees are less abundant. In Europe, they are 17 percent less plentiful than they were in the early 20th century. The scientists examined the abundance of 66 species across the two continents.
Question:
Question No. 8-0.25
+1 Marks
Direction: In the following passage there are blanks, each of which has been numbered. These numbers are printed below the passage and against each, five options are given. Find out the appropriate word which fits the blank appropriately. Bumblebees, among the most important pollinators, are in ________________. Fuzzy and buzzy, they excel at spreading pollen and fertilizing many types of wild flora, as well as crucial agricultural crops like tomatoes, blueberries, and squash. But their numbers are ________________. New research using a massive dataset found that the insects are far less common than they used to be; in North America, you are nearly 50 percent less
likely to see a bumblebee in any given area than you were prior to 1974. Moreover, several once-common species have ________________ from many areas they were
once found, becoming locally extinct in those places. For example, the rusty patched bumblebee, which used to flourish in Ontario, is no longer found in all of Canada—in
the U.S., it’s endangered. In a new paper published this week in the journal Science, researchers used a complex modeling process to ________________ that their ________________ is driven in large part by climate change. Specifically, the scientists found that in areas that have become hotter in the last generation, or have experienced more extreme temperature swings, bumblebees are less abundant. In Europe, they are 17 percent less plentiful than they were in the early 20th century. The scientists examined the abundance of 66 species across the two continents.
Question:
Question No. 9-0.25
+1 Marks
Direction: In the following passage there are blanks, each of which has been numbered. These numbers are printed below the passage and against each, five options are given. Find out the appropriate word which fits the blank appropriately. Bumblebees, among the most important pollinators, are in ________________. Fuzzy and buzzy, they excel at spreading pollen and fertilizing many types of wild flora, as well as crucial agricultural crops like tomatoes, blueberries, and squash. But their numbers are ________________. New research using a massive dataset found that the insects are far less common than they used to be; in North America, you are nearly 50 percent less
likely to see a bumblebee in any given area than you were prior to 1974. Moreover, several once-common species have ________________ from many areas they were
once found, becoming locally extinct in those places. For example, the rusty patched bumblebee, which used to flourish in Ontario, is no longer found in all of Canada—in
the U.S., it’s endangered. In a new paper published this week in the journal Science, researchers used a complex modeling process to ________________ that their ________________ is driven in large part by climate change. Specifically, the scientists found that in areas that have become hotter in the last generation, or have experienced more extreme temperature swings, bumblebees are less abundant. In Europe, they are 17 percent less plentiful than they were in the early 20th century. The scientists examined the abundance of 66 species across the two continents.
Question:
Question No. 10-0.25
+1 Marks
Direction: In the following passage there are blanks, each of which has been numbered. These numbers are printed below the passage and against each, five options are given. Find out the appropriate word which fits the blank appropriately. Bumblebees, among the most important pollinators, are in ________________. Fuzzy and buzzy, they excel at spreading pollen and fertilizing many types of wild flora, as well as crucial agricultural crops like tomatoes, blueberries, and squash. But their numbers are ________________. New research using a massive dataset found that the insects are far less common than they used to be; in North America, you are nearly 50 percent less
likely to see a bumblebee in any given area than you were prior to 1974. Moreover, several once-common species have ________________ from many areas they were
once found, becoming locally extinct in those places. For example, the rusty patched bumblebee, which used to flourish in Ontario, is no longer found in all of Canada—in
the U.S., it’s endangered. In a new paper published this week in the journal Science, researchers used a complex modeling process to ________________ that their ________________ is driven in large part by climate change. Specifically, the scientists found that in areas that have become hotter in the last generation, or have experienced more extreme temperature swings, bumblebees are less abundant. In Europe, they are 17 percent less plentiful than they were in the early 20th century. The scientists examined the abundance of 66 species across the two continents.
Question:
Question No. 11-0.25
+1 Marks
Direction: In the following question, four sentences are given which may be grammatically and
contextually incorrect. You need to find the one which has no error and mark that as your answer. If all the given sentences are incorrect then mark option (e) i.e. ‘all are incorrect’ as your answer.
Question:
Question No. 12-0.25
+1 Marks
Direction: In the following question, four sentences are given which may be grammatically and
contextually incorrect. You need to find the one which has no error and mark that as your answer. If all the given sentences are incorrect then mark option (e) i.e. ‘all are incorrect’ as your answer.
Question:
Question No. 13-0.25
+1 Marks
Direction: In the following question, four sentences are given which may be grammatically and
contextually incorrect. You need to find the one which has no error and mark that as your answer. If all the given sentences are incorrect then mark option (e) i.e. ‘all are incorrect’ as your answer.
Question:
Question No. 14-0.25
+1 Marks
Direction: In the following question, four sentences are given which may be grammatically and
contextually incorrect. You need to find the one which has no error and mark that as your answer. If all the given sentences are incorrect then mark option (e) i.e. ‘all are incorrect’ as your answer.continents.
Question:
Question No. 15-0.25
+1 Marks
Direction: In the following question, four sentences are given which may be grammatically and
contextually incorrect. You need to find the one which has no error and mark that as your answer. If all the given sentences are incorrect then mark option (e) i.e. ‘all are incorrect’ as your answer.continents.
Question:
Question No. 16-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: Why the promise of the cloud has created a sense of excitement amongst enterprises?
Question No. 17-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: How can we tackle the risks associated with the process of migration?
Question No. 18-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: How the process of migration stands as an obstacle to the cloud technology?
Question No. 19-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: Which of the following statement(s) is/are correct in context of the passage?
(1)The cloud technology can help in increasing the speed at which the software features are developed.
(2)There is no risk associated with the cloud technology.
(3) Cloud technology is not a very complex process.
(1)The cloud technology can help in increasing the speed at which the software features are developed.
(2)There is no risk associated with the cloud technology.
(3) Cloud technology is not a very complex process.
Question No. 20-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: What is the meaning of the phrase “full steam ahead” ?
Question No. 21-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: Which of the following words is most similar to the word “ADOPT” as given in the passage?
Question No. 22-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: Which of the following words is most similar to the word “ENSURE” as given in the passage?
Question No. 23-0.25
+1 Marks
Direction: Read the following passage and answer the following questions based on the given
passage. Some of the words are highlighted which would help you to answer some of the questions given.
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
For years, world-wide organisations have become increasingly excited about the prospect of a cloud-based future. As the dream becomes an ever closer reality for many kinds of business and, Forrester predicted that enterprise spending on cloud services is set to surge. IDC also predicted that global spending on public cloud services and infrastructure would reach $210bn in 2019, an increase of 24% from 2018. But one obstacle stands create friction and introduce risk: the process of migration. As all indications point to a massive shift in data deployments to the cloud, it is more important than ever that the transition from on-premises to Cloud is as risk free as possible. In today's climate any loss or disruption to data can have a huge business impact. It’s a complex process, is frequently underestimated and many organisations have found there’s lots that can go wrong that can impact the business. Organisations across the globe have found the cloud to be an ideal place to run modern data applications due to big data’s elastic resource requirements. Furthermore, with the lack of data talent an ever-looming issue for most companies today they have been determined to adopt a cloud-first strategy to ensure business operations are accessible for a range of employees. The cloud offers great promise for developers especially, as it can increase the speed at which they develop software features and increase the resilience of applications once they are deployed - along with enhanced security through the use of multiple server locations. With all this considered, it is no surprise that 42% of UK businesses leverage some kind of cloud service, according to Eurostat. However, all the perceived benefits of leveraging the cloud are redundant if organisations come up against barriers to accessing cloud services. Cloud-based data pipelines still suffer from complexity challenges at the moment, along with the lack of visibility into cost and resource usage at the application and user level. The answer to this is automation fueled by robust Machine learning training models and artificial intelligence. These concepts and the tools that enable them can determine the prerequisites of cloud infrastructure, application dependencies,the appropriate target cloud instance profiles, and provide troubleshooting in real-time. To summarise, the promise of the cloud has created a sense of excitement amongst enterprises, however, they have proceeded to go full steam ahead into adopting a cloud service, without sufficient data to ensure performance service level agreements (SLAs).
Question: Which of the following words is most OPPOSITE to the word
“MASSIVE” as given in the passage?
Question No. 24-0.25
+1 Marks
Direction: Read each sentence to find out if there is any error in it. The error, if any will be in
one part of the sentence. The number of that part is the answer if there is no error, the answer is (e).
Question: It is widely believe (a)/ that the village which is situated on the (b)/ eastern coast of India will be
wiped out (c)/ within a decade. (d)/ No error. (e)
Question No. 25-0.25
+1 Marks
Direction: Read each sentence to find out if there is any error in it. The error, if any will be in
one part of the sentence. The number of that part is the answer if there is no error, the answer is (e).
Question: Yesterday I met (a)/ an old friend (b)/ when I am going (c)/ to the market. (d)/ No error.(e)
tukon =
krekitne =
sahikitne =
yekya =
kitnatime =
krekitne =
sahikitne =
yekya =
kitnatime =