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Data Management

5 minutes 5 Questions

Data management in Amazon EMR refers to the processes of ingesting, storing, processing, and exporting data from your cluster. EMR provides multiple storage options, such as HDFS (Hadoop Distributed File System) for storing data locally on the instances, Amazon S3 for long-term, cost-effective stor…

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AWS Certified Solutions Architect - Data Management Example Questions

Test your knowledge of Data Management

Question 1

A data analyst needs to access a 20 TB dataset on Amazon S3 infrequently and has a limited budget. The analyst does not need to access the entire dataset at once but requires fast access to subsets of data. Which solution should the company implement?

Correct Answer: Use Amazon S3 Select on S3 One Zone-IA

Amazon S3 Select provides fast access to subsets of data, while the One Zone-IA storage tier provides cost-effective, infrequent access storage. The other options are either not suitable for this use case or are more expensive.

Question 2

A company will store sensitive customer records as objects in Amazon S3. The company requires encryption at rest with centrally managed keys, fine-grained access controls, and auditability of key usage. Which solution should the company implement?

Correct Answer: Enable Amazon S3 server-side encryption with AWS KMS (SSE-KMS) using a customer managed KMS key

SSE-KMS encrypts S3 objects at rest using AWS KMS keys, enabling centralized key management (creation, rotation, and disabling), fine-grained access control through KMS key policies and IAM, and full auditability of key usage via AWS CloudTrail. This directly satisfies the requirement to protect sensitive data at rest in S3 with centrally managed, auditable keys. An S3 lifecycle policy to move data to S3 Glacier storage classes does not provide encryption by itself. Storing data as JSON and relying on IAM controls governs access but does not encrypt data at rest. Amazon RDS encryption applies only to RDS databases and is not relevant when data is stored in S3.

Question 3

A company runs its ETL pipeline on a single Amazon EC2 instance. The jobs generate large intermediate datasets that are heavily read and written during processing. The intermediate data does not need to persist if the instance is stopped or terminated. The final results are written to Amazon S3. Which storage option should the company use for the temporary staging area?

Correct Answer: Amazon EC2 instance store

Amazon EC2 instance store provides high-throughput, low-latency block storage that is physically attached to the host running the EC2 instance. It is designed for temporary data that can be lost if the instance is stopped or terminated, making it ideal for ETL scratch space and intermediate files. Amazon EBS is network-attached and persistent, adding cost and latency that are unnecessary for ephemeral staging. Amazon S3 One Zone-IA is object storage optimized for infrequently accessed data and is not suitable for high-frequency read/write temporary processing. Amazon RDS is a managed relational database and is not appropriate for file-based temporary staging of ETL intermediates.

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