Amazon AWS Certified Data Engineer - Associate DEA-C01 Exam Practice Questions (P. 2)

GPT-4o - Answer

AWS Glue workflows are indeed powerful, allowing for the orchestration of ETL pipelines. They enable you to define a sequence of actions, like crawlers and jobs, that handle and process data. Glue workflows are designed to be a comprehensive and straightforward approach for data pipeline management within AWS, integrating seamlessly with other AWS services and providing a cost-effective solution. Thus, they suit the needs described for effectively managing ETL processes from SQL Server to S3 within a workflow context.

GPT-4o - Answer

The Amazon Redshift Data API is a superb choice for executing SQL queries straight from applications, mainly due to its simplicity in not requiring the management of continuous connections or drivers, which WebSocket or JDBC solutions would demand. It’s especially effective for scenarios needing integration within application logic without the operational complexity of managing connections, making it ideal for real-time queries in a web-based trading application, providing a more straightforward, effective solution with minimal overhead.

GPT-4o - Answer

To manage permissions and access to query history optimally in Amazon Athena, while using the same AWS account, implementing Athena workgroups for each use case is the most effective approach. By designating separate workgroups, you can isolate query processes and maintain control over permissions and query history for individual teams and users. This can be further enhanced by tagging workgroups, facilitating efficient management and simplification of IAM policies based on specific tags, catering to different use cases. This setup not only ensures operational efficiency but also strengthens data security and governance within the organization.

GPT-4o - Answer

Choosing the FLEX execution class in AWS Glue job properties indeed offers a cost-effective solution for running jobs that do not have stringent timing requirements. The FLEX option utilizes the available idle resources within the AWS ecosystem. This functionality is particularly beneficial for data integration tasks that lack urgency, utilizing spare compute capacity without tying you to dedicated resources, thereby optimizing costs. This approach aligns perfectly with scenarios where precise job execution timings are flexible, making it the most suitable option for scheduling daily, non-time-sensitive workflows.

GPT-4o - Answer

The correct implementation involves setting up an S3 event notification configured to s3:ObjectCreated:* with a filter rule that focuses on files ending in .csv. This setup ensures that the Lambda function is triggered only when a .csv file is uploaded, meeting the specific data processing requirement with minimal operational hassle. It leverages direct invocation of the Lambda function without the need for intermediary services like SNS, thereby streamlining the data processing workflow and reducing latency and complexity. This approach checks all boxes for efficiency and alignment with the scoped requirement of the data transformation task.