Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 784 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03

Question #: 784
Topic #: 1

[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company's marketing data is uploaded from multiple sources to an Amazon S3 bucket. A series of data preparation jobs aggregate the data for reporting. The data preparation jobs need to run at regular intervals in parallel. A few jobs need to run in a specific order later.

The company wants to remove the operational overhead of job error handling, retry logic, and state management.

Which solution will meet these requirements?

A. Use an AWS Lambda function to process the data as soon as the data is uploaded to the S3 bucket. Invoke other Lambda functions at regularly scheduled intervals.
B. Use Amazon Athena to process the data. Use Amazon EventBridge Scheduler to invoke Athena on a regular internal.
C. Use AWS Glue DataBrew to process the data. Use an AWS Step Functions state machine to run the DataBrew data preparation jobs.
D. Use AWS Data Pipeline to process the data. Schedule Data Pipeline to process the data once at midnight.

Show Suggested Answer

Suggested Answer: C 🗳️

by Andy_09 at Feb. 6, 2024, 8:05 a.m.

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Highly Voted 1 year, 3 months ago

Selected Answer: C

data preparation = Glue DataBrew https://docs.aws.amazon.com/databrew/latest/dg/what-is.html state handling = DataBrew with Step Functions https://docs.aws.amazon.com/step-functions/latest/dg/connect-databrew.html

upvoted 12 times

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Andy_09

Highly Voted 1 year, 4 months ago

Option C

upvoted 9 times

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FlyingHawk

Most Recent 4 months, 2 weeks ago

Selected Answer: C

Both c and d are workable, but AWS Data Pipeline is considered outdated because AWS has introduced newer, more efficient, and serverless alternatives for data orchestration and ETL (Extract, Transform, Load) tasks. While AWS Data Pipeline is still available, it is not actively promoted or updated by AWS, and many companies have shifted to AWS Glue, Step Functions, and EventBridge for data workflow automation. https://aws.amazon.com/blogs/big-data/build-event-driven-data-quality-pipelines-with-aws-glue-databrew/

upvoted 2 times

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LeonSauveterre

5 months, 4 weeks ago

Selected Answer: C

A - Lambda function alone is incompetent for retries or running in a specific order. B - Athena cannot automatically handle errors or running in a specific order. C - YES and fully managed. See below. D - Data Pipeline with retries and error handling is A LOT OF WORK. Takeaway: 1. Glue DataBrew simplifies the data preparation process with a visual interface, and it integrates with S3 for input/output. 2. Step Functions efficiently manages parallel and sequential workflows while minimizing operational overhead for state management, error handling, and retries.

upvoted 3 times

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Scheldon

12 months ago

Selected Answer: C

AnswerC With Step Functions' built-in controls, you can examine the state of each step in your workflow to make sure that your application runs in order and as expected. https://docs.aws.amazon.com/step-functions/latest/dg/welcome.html AWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources. https://docs.aws.amazon.com/glue/latest/dg/what-is-glue.html

upvoted 3 times

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asdfcdsxdfc

1 year, 3 months ago

Selected Answer: C

c looks correct

upvoted 3 times

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