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Exam AWS Certified Machine Learning - Specialty topic 1 question 311 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 311
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A data engineer wants to perform exploratory data analysis (EDA) on a petabyte of data. The data engineer does not want to manage compute resources and wants to pay only for queries that are run. The data engineer must write the analysis by using Python from a Jupyter notebook.

Which solution will meet these requirements?

  • A. Use Apache Spark from within Amazon Athena.
  • B. Use Apache Spark from within Amazon SageMaker.
  • C. Use Apache Spark from within an Amazon EMR cluster.
  • D. Use Apache Spark through an integration with Amazon Redshift.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by AIWave at March 9, 2024, 10:19 p.m.
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ef12052
2 months, 3 weeks ago
Selected Answer: A
https://aws.amazon.com/it/blogs/aws/new-amazon-athena-for-apache-spark/
upvoted 2 times
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587df71
6 months ago
Selected Answer: A
Amazon Athena makes it easy to interactively run data analytics and exploration using Apache Spark without the need to plan for, configure, or manage resources reference :-https://docs.aws.amazon.com/athena/latest/ug/notebooks-spark.html
upvoted 3 times
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spinatram
8 months ago
B - SageMaker Athena and redshift does not support Apache spark scripts EMR requires managing infra
upvoted 1 times
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MJSY
8 months, 3 weeks ago
Selected Answer: B
SageMaker provide serverless, spark cluster notebook, pay as you go if you remember to close it when you finished your work.
upvoted 2 times
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Shivanshub
10 months ago
Selected Answer: B
Amazon Athena does not natively support running Python code directly. Amazon Athena is primarily a serverless, interactive query service that allows you to analyze data in Amazon S3 using standard SQL. Use Apache Spark from within Amazon SageMaker. Amazon SageMaker allows you to run Jupyter notebooks and provides managed Apache Spark integration, which means you don't need to manage the underlying compute resources yourself. You can also use SageMaker to perform the analysis and pay only for the resources you consume during the execution of your queries.
upvoted 2 times
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eicresv2
11 months, 3 weeks ago
Selected Answer: A
A and not B also because of paying for queries that you run. Notebooks will continue to run and cost money
upvoted 2 times
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pandkast
1 year ago
Selected Answer: A
https://docs.aws.amazon.com/athena/latest/ug/notebooks-spark-working-with-notebooks.html
upvoted 2 times
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rav009
1 year, 1 month ago
Selected Answer: A
https://docs.aws.amazon.com/athena/latest/ug/notebooks-spark-editor.html
upvoted 2 times
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ddaanndann
1 year, 3 months ago
Correct Answer: A https://docs.aws.amazon.com/athena/latest/ug/notebooks-spark.html
upvoted 2 times
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JonSno
1 year, 3 months ago
It's A - Using Apache Spark on Amazon Athena https://aws-sdk-pandas.readthedocs.io/en/3.2.1/tutorials/041%20-%20Apache%20Spark%20on%20Amazon%20Athena.html
upvoted 1 times
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vkbajoria
1 year, 3 months ago
Selected Answer: B
Serverless, Python, and Notebook are key elements for making the decision. It's B
upvoted 2 times
vkbajoria
1 year, 3 months ago
I changed my mind, Athena supports spark. It's A
upvoted 1 times
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rav009
1 year, 3 months ago
Selected Answer: A
https://docs.amazonaws.cn/en_us/athena/latest/ug/notebooks-spark-getting-started.html
upvoted 4 times
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shivamgulati13
1 year, 3 months ago
Just thinking out loud, how can it be not Redshift as well? The question also mentions pay for queries, and handle petabyte of data. Spark is an integration possible with Amazon Redshift, and Redshift has serverless version too. https://aws.amazon.com/blogs/aws/new-amazon-redshift-integration-with-apache-spark/
upvoted 1 times
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AIWave
1 year, 3 months ago
Selected Answer: B
A: No - Athena does not support python code B: Yes - Sagemaker is serverless and SageMaker Processing allows you to run Spark jobs from a Jupyter notebook using Python. You only pay for resources used during processing jobs. C: No - involves managing the EMR cluster. You pay for running EC2 instances whether in use or not. D: No - Redshift can't run spark jobs and no native support for python/Jupiter notebooks
upvoted 4 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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