AWS Certified Solutions Architect – Associate (SAA-C03) — Question 193

An online retail company has more than 50 million active customers and receives more than 25,000 orders each day. The company collects purchase data for customers and stores this data in Amazon S3. Additional customer data is stored in Amazon RDS.

The company wants to make all the data available to various teams so that the teams can perform analytics. The solution must provide the ability to manage fine-grained permissions for the data and must minimize operational overhead.

Which solution will meet these requirements?

Answer options

• A. Migrate the purchase data to write directly to Amazon RDS. Use RDS access controls to limit access.
• B. Schedule an AWS Lambda function to periodically copy data from Amazon RDS to Amazon S3. Create an AWS Glue crawler. Use Amazon Athena to query the data. Use S3 policies to limit access.
• C. Create a data lake by using AWS Lake Formation. Create an AWS Glue JDBC connection to Amazon RDS. Register the S3 bucket in Lake Formation. Use Lake Formation access controls to limit access.
• D. Create an Amazon Redshift cluster. Schedule an AWS Lambda function to periodically copy data from Amazon S3 and Amazon RDS to Amazon Redshift. Use Amazon Redshift access controls to limit access.

Correct answer: C

Explanation

Option C is the best choice as AWS Lake Formation allows for managing fine-grained permissions and simplifies access to data stored in both Amazon RDS and S3. Options A and D do not minimize operational overhead effectively, while option B introduces unnecessary complexity with data copying and querying processes that are not as efficient or manageable as using a data lake.