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Exam AWS Certified Machine Learning - Specialty topic 1 question 67 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 67
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A Machine Learning Specialist is developing a daily ETL workflow containing multiple ETL jobs. The workflow consists of the following processes:
* Start the workflow as soon as data is uploaded to Amazon S3.
* When all the datasets are available in Amazon S3, start an ETL job to join the uploaded datasets with multiple terabyte-sized datasets already stored in Amazon
S3.
* Store the results of joining datasets in Amazon S3.
* If one of the jobs fails, send a notification to the Administrator.
Which configuration will meet these requirements?

  • A. Use AWS Lambda to trigger an AWS Step Functions workflow to wait for dataset uploads to complete in Amazon S3. Use AWS Glue to join the datasets. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
  • B. Develop the ETL workflow using AWS Lambda to start an Amazon SageMaker notebook instance. Use a lifecycle configuration script to join the datasets and persist the results in Amazon S3. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
  • C. Develop the ETL workflow using AWS Batch to trigger the start of ETL jobs when data is uploaded to Amazon S3. Use AWS Glue to join the datasets in Amazon S3. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
  • D. Use AWS Lambda to chain other Lambda functions to read and join the datasets in Amazon S3 as soon as the data is uploaded to Amazon S3. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
Reference:
https://aws.amazon.com/step-functions/use-cases/
by Achievement at July 18, 2020, 11:12 a.m.
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HaiHN
Highly Voted 2 years, 7 months ago
A: Correct. S3 events can trigger AWS Lambda function. B: Wrong. There's nothing to do with SageMaker in the provided context. C: Wrong. AWS Batch cannot receive events from S3 directly. D: Wrong. Will not meed the requirement: "When all the datasets are available in Amazon S3..." https://docs.aws.amazon.com/step-functions/latest/dg/tutorial-cloudwatch-events-s3.html
upvoted 35 times
scuzzy2010
2 years, 7 months ago
I agree. Step Functions can be used to implement a workflow. In this case, wait for all the datasets to be loaded before triggering the glue job.
upvoted 3 times
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cloud_trail
2 years, 7 months ago
Actually, I think that D does meet the requirement of waiting until all datasets are in S3, BUT you do need Glue to join the datasets. Answer is still A.
upvoted 4 times
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Mickey321
Most Recent 8 months, 2 weeks ago
Selected Answer: A
Option A
upvoted 1 times
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Valcilio
1 year, 2 months ago
Selected Answer: A
Batch isn't event driven, answer is A.
upvoted 1 times
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matteocal
1 year, 9 months ago
If EMR were present I would have chose that because of the size of dataset, else is Glue
upvoted 1 times
ZSun
1 year ago
exactly, this is also where I got confused. Since Glue is not good at handling such large dataset, multiple terabyte-sized datasets + multiple ETL jobs + daily
upvoted 1 times
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Huy
2 years, 6 months ago
A. The answer omits stuffs like Lambda functions and Event Bridge. https://aws.amazon.com/blogs/big-data/orchestrate-multiple-etl-jobs-using-aws-step-functions-and-aws-lambda/
upvoted 2 times
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johnvik
2 years, 6 months ago
https://d1.awsstatic.com/r2018/a/product-page-diagram-aws-step-functions-use-case-aws-glue.bc69d97a332c2dd29abb724dd747fd82ae110352.png
upvoted 2 times
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