Storage and Data Management ā Part B
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Question 1 of 50
1. Question
A company needs to search for and retrieve metadata about data stored in various data stores in their AWS environment. Which of the following mechanisms would be the most appropriate for this scenario?
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Question 2 of 50
2. Question
A company needs to search for and retrieve data catalogs and metadata across various storage systems in their AWS environment. Which of the following mechanisms would be the most appropriate for this scenario?
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Question 3 of 50
3. Question
Which AWS service allows users to create a managed metadata repository to manage, discover, and search for any data across an organization?
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Question 4 of 50
4. Question
Which AWS service allows users to easily search, discover, and use datasets that are stored in AWS?
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Question 5 of 50
5. Question
A company needs to evaluate mechanisms for discovering new and updated data sources as part of their data management strategy. Which AWS service can help them achieve this?
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Question 6 of 50
6. Question
A data analyst needs to choose a system for cataloging and managing metadata for their organization’s data. They want a system that can handle large volumes of data and support search, query, and reporting functionality. Which AWS service should they choose?
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Question 7 of 50
7. Question
A financial services company needs to store transaction data for a period of 5 years for regulatory compliance reasons. The data is rarely accessed after the first year, but needs to be retained for the full 5-year period. Which AWS storage solution is the most cost-effective option for this use case?
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Question 8 of 50
8. Question
A data analyst at a healthcare company is tasked with implementing a data retention policy for their patient records. The company wants to store records for at least 10 years for compliance reasons, but also wants to minimize costs. Which AWS storage solution should the analyst use to meet these requirements?
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Question 9 of 50
9. Question
A healthcare organization needs to store patient data for compliance purposes. The data includes sensitive information such as medical records and personal identification information. The organization needs to ensure that the data is secure and protected against unauthorized access. Which data lifecycle strategy should the organization use?
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Question 10 of 50
10. Question
A company has a large dataset that is frequently accessed for real-time analytics. However, the data becomes less relevant after a certain period of time, and the company wants to reduce the storage costs by archiving the data. Which data lifecycle strategy should the company use?
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Question 11 of 50
11. Question
A data analytics team is tasked with optimizing the analysis of a large dataset containing user behavior data. The team needs to design a data formatting scheme that enables them to efficiently analyze the data based on different dimensions, such as user location, device type, and browser type. Which formatting scheme should they use?
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Question 12 of 50
12. Question
A data analytics team needs to optimize the analysis of log files generated by an e-commerce platform. The team needs to design a data partitioning scheme that allows them to efficiently analyze the logs based on customer behavior and purchase history. Which partitioning scheme should they use?
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Question 13 of 50
13. Question
Which data distribution method should be used to optimize performance when processing a large dataset with an uneven distribution of data?
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Question 14 of 50
14. Question
Which data format is most suitable for optimizing query performance when dealing with large datasets with complex data types?
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Question 15 of 50
15. Question
Which storage layout is appropriate for storing and accessing frequently updated datasets with variable-sized records?
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Question 16 of 50
16. Question
Which data sorting and distribution strategy is appropriate for a data warehouse workload that requires fast and efficient query performance on large datasets?
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Question 17 of 50
17. Question
You are designing a data storage solution for an application that requires storing and processing large volumes of unstructured data, including text, images, and videos. The application requires that the data be easily accessible, and that the storage format supports the addition of metadata. Which storage format would you recommend for this task?
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Question 18 of 50
18. Question
You are designing a data storage solution for an application that requires storing and processing large volumes of images in JPEG format. The application requires that the images be stored in a compressed format, but also easily accessible for processing. Which compression/encoding strategy would you recommend for this task?
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Question 19 of 50
19. Question
You are designing a data analytics solution that requires storing and processing large volumes of data in Parquet format. The data is highly repetitive, and you want to optimize the storage and processing performance. Which compression/encoding strategy would you recommend for this task?
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Question 20 of 50
20. Question
You are designing a data analytics solution that requires storing and processing large volumes of data. The data is structured, and the application requires fast query performance. Which storage format would you recommend for this task?
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Question 21 of 50
21. Question
Your organization is using a data lake to store large volumes of unstructured data, including text, images, and videos. The data is stored in a variety of formats, including CSV, JSON, and Parquet. Which of the following data layout and schema options would you recommend to address the requirements of schema evolution?
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Question 22 of 50
22. Question
You are designing a data storage solution for a client, and they have requested that their data schema must be able to evolve over time as new requirements emerge. Which of the following mechanisms would you recommend to address the schema evolution requirements?
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Question 23 of 50
23. Question
A company has a large dataset that is rarely accessed but needs to be retrieved quickly when requested. Which of the following storage solutions is the most appropriate to address the query latency requirements while minimizing costs?
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Question 24 of 50
24. Question
A company is looking for a storage solution that can quickly retrieve data for real-time analysis. Which of the following storage solutions is the most appropriate to address the query latency requirements?
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Question 25 of 50
25. Question
Which of the following storage solutions is most appropriate for storing semi-structured data in AWS?
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Question 26 of 50
26. Question
Which of the following storage solutions is most appropriate for storing structured data in AWS?
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Question 27 of 50
27. Question
Which of the following storage solutions is most appropriate for transient storage of data that is frequently accessed by an application in AWS?
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Question 28 of 50
28. Question
Which of the following storage solutions is most appropriate for long-term storage of infrequently accessed data in AWS?
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Question 29 of 50
29. Question
A retail company needs to store and manage customer order data, which is updated frequently. The company needs a storage solution that can handle the updates and provide high performance for read queries. Which AWS service would be the most appropriate for this use case?
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Question 30 of 50
30. Question
A company collects data from IoT devices that send append-only data every minute. They need a storage solution that can handle this type of data with low latency access. Which AWS service would be the most appropriate for this use case?
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Question 31 of 50
31. Question
A data analytics application requires ad hoc access to a large amount of data that is accessed infrequently and requires long-term storage. Which storage solution is appropriate for this use case?
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Question 32 of 50
32. Question
A data analytics application requires continuous usage of a large amount of data that is frequently accessed and requires real-time analysis. Which storage solution is appropriate for this use case?
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Question 33 of 50
33. Question
A data analytics application requires sequential access to a large amount of data that is frequently accessed and requires real-time analysis. Which storage solution is appropriate for this use case?
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Question 34 of 50
34. Question
A data analytics application requires random access to a large amount of data, which is accessed infrequently and requires long-term storage. Which storage solution is appropriate for this use case?
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Question 35 of 50
35. Question
A system receives data in small batches every 30 minutes and requires long-term storage for historical analysis. Which storage solution is appropriate for this use case?
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Question 36 of 50
36. Question
Which storage solution is appropriate for a system that receives data in micro batches every 5 minutes and requires real-time analysis of the data?
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Question 37 of 50
37. Question
Which storage solution is appropriate for a workload that requires transactional updates with high durability?
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Question 38 of 50
38. Question
Which storage solution is appropriate for a workload that requires transactional updates with low latency?
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Question 39 of 50
39. Question
Which storage solution is appropriate for a workload that requires bulk updates of data with infrequent reads?
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Question 40 of 50
40. Question
Which storage solution is appropriate for a workload that requires frequent updates of a large amount of data?
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Question 41 of 50
41. Question
Which of the following storage solutions provides both strong and eventual consistency?
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Question 42 of 50
42. Question
Which of the following statements is true about strong consistency in a storage system?
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Question 43 of 50
43. Question
Which of the following storage solutions would be appropriate for a system that requires eventual consistency?
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Question 44 of 50
44. Question
Which of the following storage solutions would be appropriate for a system that requires strong consistency?
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Question 45 of 50
45. Question
Suppose you are working on an analytics project that requires high performance for data retrieval with low latency, and you need to store data for a shorter period. Which AWS storage service is best suited for this scenario based on the durability, reliability, and latency characteristics of the storage solution?
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Question 46 of 50
46. Question
Suppose you are working on an analytics project that requires you to store data for a longer period, and you also need to maintain data availability without losing any data. Which AWS storage service is best suited for this scenario based on the durability, reliability, and latency characteristics of the storage solution?
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Question 47 of 50
47. Question
A company needs a high-performance storage solution for their real-time data analytics workloads that require low-latency access to data. Which AWS storage service is best suited for this requirement?
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Question 48 of 50
48. Question
A company is looking for a cost-effective storage solution for their large-scale data analytics workloads. Which AWS storage service is best suited for this requirement?
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Question 49 of 50
49. Question
Which of the following storage services is the most cost-effective solution for storing and analyzing infrequently accessed data?
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Question 50 of 50
50. Question
Which of the following storage services is the most suitable for storing and analyzing large amounts of structured data with high performance requirements?
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