Storage and Data Management ā Part A
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Question 1 of 50
1. Question
What AWS service can be used for tagging and classifying data at the object level in an S3 bucket?
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Question 2 of 50
2. Question
Which AWS service can be used for cataloging data and managing metadata in a data lake environment?
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Question 3 of 50
3. Question
Which of the following mechanisms can be used to search and retrieve data catalogs and metadata in Amazon S3?
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Question 4 of 50
4. Question
Which AWS service can be used for searching and retrieving data catalogs and metadata?
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Question 5 of 50
5. Question
Which AWS service can be used to create a searchable catalog of data and metadata across multiple AWS accounts and regions?
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Question 6 of 50
6. Question
What mechanism can be used to create and maintain a data catalog in AWS Glue?
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Question 7 of 50
7. Question
Which of the following mechanisms would be the best option to discover new and updated data sources in a non-AWS environment?
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Question 8 of 50
8. Question
Which of the following mechanisms would be the best option to discover new and updated data sources in an AWS environment?
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Question 9 of 50
9. Question
A company has a high volume of structured data that needs to be accessed frequently for analysis. Which AWS database service would be the best option for storing and managing this data?
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Question 10 of 50
10. Question
A company has a large amount of historical data that is rarely accessed but needs to be kept for compliance reasons. Which AWS storage solution would be the best option to store this data?
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Question 11 of 50
11. Question
What is the best strategy to manage data that is frequently accessed but rarely changed?
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Question 12 of 50
12. Question
What should be the first step in determining the strategy to address data lifecycle requirements?
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Question 13 of 50
13. Question
A company is analyzing a large dataset of customer reviews for a product. The dataset is stored in Amazon S3 and contains information such as the review text, rating, and reviewer ID. The company wants to optimize query performance by using a data format that can compress the data and minimize the amount of storage space used. Which data format should they use?
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Question 14 of 50
14. Question
A company has a large dataset stored in Amazon S3 that contains customer transaction data. The company wants to optimize query performance by partitioning the data. The data contains transaction date, transaction type, and transaction amount. Which partitioning scheme should the company use to optimize performance?
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Question 15 of 50
15. Question
A company has a large dataset that is stored in multiple files on Amazon S3. The dataset is frequently accessed by a data analytics team that runs complex queries on it. The company needs to decide on the best data layout to use for this dataset to optimize cost and performance. Which data layout should they choose?
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Question 16 of 50
16. Question
A company has a large dataset that it needs to process regularly for analytics purposes. The dataset is comprised of multiple files that range in size from 1GB to 10GB. The company needs to decide on the best file format to use for this dataset. Which file format should they choose to optimize cost and performance?
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Question 17 of 50
17. Question
Which of the following is the best storage layout for a data warehouse that requires fast querying and reporting capabilities?
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Question 18 of 50
18. Question
Which of the following data layout and distribution strategies is best suited for a large dataset that needs to be queried frequently with high performance requirements?
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Question 19 of 50
19. Question
Which of the following encoding strategies is suitable for a data lake workload where data compression and query performance are important, and data encoding should be self-describing?
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Question 20 of 50
20. Question
Which of the following compression strategies is suitable for a data warehouse workload where a high degree of compression is required, and the focus is on query performance?
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Question 21 of 50
21. Question
A data analytics team needs to store large amounts of data that will be used primarily for data warehousing and business intelligence. Which storage format is suitable for this use case?
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Question 22 of 50
22. Question
A data analytics team is working with large amounts of data that requires frequent updates and querying. Which storage format is suitable for this use case?
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Question 23 of 50
23. Question
What is a suitable way to handle schema evolution requirements in a relational database environment?
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Question 24 of 50
24. Question
Which of the following is a suitable mechanism to address schema evolution requirements in an Amazon S3 data lake environment?
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Question 25 of 50
25. Question
A gaming company needs to store and query data from a high-performance analytics platform that requires low latency and high throughput. The data is structured and requires frequent updates. What storage solution is most appropriate to address query latency requirements?
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Question 26 of 50
26. Question
A company needs to query a large dataset with sub-second response times. The data is mostly unstructured and the queries require ad-hoc analysis. What storage solution is most appropriate to address query latency requirements?
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Question 27 of 50
27. Question
A data analytics team needs to store and process semi-structured data generated by social media feeds. The data needs to be analyzed using Apache Spark and must be able to handle unpredictable data growth. What storage solution is most appropriate for semi-structured data in this scenario?
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Question 28 of 50
28. Question
A company is looking to store large amounts of structured data generated by their ERP system. The data needs to be accessed frequently by various departments within the company. What storage solution is most appropriate for structured data in this scenario?
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Question 29 of 50
29. Question
A data analyst needs to store and process a large amount of data that is frequently accessed by multiple users. The data is used to train machine learning models and is expected to be updated frequently. What storage solution is most appropriate for transient storage in this scenario?
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Question 30 of 50
30. Question
A data analytics team has been tasked with analyzing a large amount of sensor data generated from a fleet of trucks. The data will be analyzed using Apache Spark and will need to be stored for at least 5 years for compliance purposes. What storage solution is most appropriate for long-term storage in this scenario?
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Question 31 of 50
31. Question
Which storage solution is appropriate for a workload that has frequent updates to data?
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Question 32 of 50
32. Question
Which storage solution is appropriate for a workload that has append-only changes to data?
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Question 33 of 50
33. Question
Which storage solution is appropriate for a workload with ad hoc access patterns and infrequent use?
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Question 34 of 50
34. Question
Which storage solution is appropriate for a workload that requires continuous usage and high-performance access to data?
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Question 35 of 50
35. Question
Which storage solution is appropriate for a workload that requires sequential access to data?
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Question 36 of 50
36. Question
Which storage solution is appropriate for a workload that requires frequent random access to data?
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Question 37 of 50
37. Question
You are working on a project for a healthcare provider that requires the storage of sensitive patient data. The data needs to be updated in batches of small size frequently throughout the day. Which AWS service would be the most appropriate for this use case?
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Question 38 of 50
38. Question
You are building a data analytics platform for a large e-commerce company that receives a massive amount of customer orders data every day. You need to design a storage solution for this data that can handle updates in batches every hour. Which AWS service would be the most appropriate for this use case?
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Question 39 of 50
39. Question
You are working on a data analytics project that requires frequent updates of transactional data, and the storage solution must support ACID (Atomicity, Consistency, Isolation, Durability) properties. Which storage solution would be the most appropriate for this requirement?
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Question 40 of 50
40. Question
You are working on a data analytics project that requires frequent updates of transactional data, which needs to be stored in a highly available and durable storage solution. Which storage solution would be the most appropriate for this requirement?
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Question 41 of 50
41. Question
Which AWS storage solution is appropriate for bulk updates of data with infrequent read access patterns and low storage cost requirements?
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Question 42 of 50
42. Question
Which AWS storage solution should you use for bulk updates of data with frequent read access patterns?
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Question 43 of 50
43. Question
What is the most appropriate AWS storage solution to use for batch processing scenarios where data freshness is not a critical requirement?
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Question 44 of 50
44. Question
Which AWS storage solution should you use to address the need for high data freshness in real-time analytics scenarios?
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Question 45 of 50
45. Question
A data analytics application requires eventual consistency for its storage system. Which AWS storage service is the most appropriate for this use case?
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Question 46 of 50
46. Question
A data analytics application requires strong consistency for its storage system. Which AWS storage service is the most appropriate for this use case?
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Question 47 of 50
47. Question
You need to choose a storage solution for a high-performance analytics workload that requires low latency and high throughput. Which AWS storage service would be the most appropriate for this scenario?
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Question 48 of 50
48. Question
You are tasked with designing a storage solution for a mission-critical analytics workload that requires high durability and reliability. Which AWS storage service would be the most appropriate for this scenario?
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Question 49 of 50
49. Question
You need to choose a storage service for a high-performance analytics workload. Which AWS storage service would be the most appropriate for this scenario?
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Question 50 of 50
50. Question
You are working with a large dataset and need to choose a storage service that balances performance and cost-effectiveness. Which AWS storage service would be the most appropriate for this scenario?
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