Exam AWS Certified Solutions Architect - Associate SAA-C02 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C02 topic 1 question 214 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C02

Question #: 214
Topic #: 1

[All AWS Certified Solutions Architect - Associate SAA-C02 Questions]

A company receives structured and semi-structured data from various sources once every day. A solutions architect needs to design a solution that leverages big data processing frameworks. The data should be accessible using SQL queries and business intelligence tools.
What should the solutions architect recommend to build the MOST high-performing solution?

A. Use AWS Glue to process data and Amazon S3 to store data.
B. Use Amazon EMR to process data and Amazon Redshift to store data.
C. Use Amazon EC2 to process data and Amazon Elastic Block Store (Amazon EBS) to store data.
D. Use Amazon Kinesis Data Analytics to process data and Amazon Elastic File System (Amazon EFS) to store data.

Show Suggested Answer

Suggested Answer: B 🗳️

by srthsrth at Aug. 28, 2020, 1:12 a.m.

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Prabudas

Highly Voted 3 years, 8 months ago

B - Big data - EMR

upvoted 32 times

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srthsrth

Highly Voted 3 years, 8 months ago

B looks ok

upvoted 13 times

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lbertolini

Most Recent 2 years, 9 months ago

Selected Answer: A

Structure and semi-structure seems more like to be storage in S3. Glue also supports spark. I believe that A is a more accurate answer

upvoted 1 times

Gerd95

2 years, 8 months ago

If you read the AWS website: The first sentence in Redshift is "analyze structured and semi-structured data with high performance' The first sentence for EMR is "big data platform" B is very clearly the correct answer

upvoted 4 times

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bora4motion

2 years, 10 months ago

Selected Answer: B

Amazon EMR - use it for big data framework and Emr Studio for SQL querries.

upvoted 1 times

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Venki_dev

3 years, 2 months ago

Selected Answer: B

big data processing = EMR

upvoted 3 times

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vasanik

3 years, 3 months ago

Selected Answer: B

By using semistructured data support in Amazon Redshift, you can ingest and store semistructured data in your Amazon Redshift data warehouses. Using the SUPER data type and PartiQL language, Amazon Redshift expands data warehouse capability to integrate with both SQL and NoSQL data sources.

upvoted 1 times

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sayed

3 years, 3 months ago

Selected Answer: B

makes use of frameworks for big data processing -> EMR

upvoted 2 times

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Sandy1971

3 years, 4 months ago

B is the answer. AWS big data processing frameworks is in the question which is EMR and Redshift (used for both structured and unstructured ) https://docs.aws.amazon.com/redshift/latest/dg/super-overview.html

upvoted 1 times

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Robert_B

3 years, 4 months ago

Selected Answer: B

B - correct I believe as when you hear Big Data & Real Time is EMR. EMR is capable to process structured/SQL data and unstructured (via Hadoop/Hive). Actually the structured data leverages a good case for Redshift. On the other hand AWS Glue (option A) is more for extract transform load (ETP), not really to record/store the data, not even backed up by S3. https://docs.aws.amazon.com/whitepapers/latest/big-data-analytics-options/amazon-emr.html

upvoted 1 times

Robert_B

3 years, 4 months ago

And moreover, demand for "Business intelligence tools should be able to access the data." - this is another reason for B and its Redshift. BI Tools can not really benefit from S3 like they can from a BI designed DB.

upvoted 2 times

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muhsin

3 years, 5 months ago

it is definetly A. Because Redshift can not be used for the semi-structured datasets. AWS Glue creates data catalog on top of S3.

upvoted 1 times

Sandy1971

3 years, 4 months ago

Ingesting and querying semistructured data in Amazon Redshifthttps://docs.aws.amazon.com/redshift/latest/dg/super-overview.html

upvoted 1 times

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jake_1596

3 years, 6 months ago

Selected Answer: A

I guess...it should be A it has semi structured data ...we can't run SQL queries without etl so we need glue to process the data set later we can leverage athena

upvoted 2 times

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