Exam AWS Certified Data Analytics - Specialty All Questions

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Exam AWS Certified Data Analytics - Specialty topic 1 question 48 discussion

Exam question from Amazon's AWS Certified Data Analytics - Specialty

Question #: 48
Topic #: 1

[All AWS Certified Data Analytics - Specialty Questions]

A company developed a new elections reporting website that uses Amazon Kinesis Data Firehose to deliver full logs from AWS WAF to an Amazon S3 bucket.
The company is now seeking a low-cost option to perform this infrequent data analysis with visualizations of logs in a way that requires minimal development effort.
Which solution meets these requirements?

A. Use an AWS Glue crawler to create and update a table in the Glue data catalog from the logs. Use Athena to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.
B. Create a second Kinesis Data Firehose delivery stream to deliver the log files to Amazon OpenSearch Service (Amazon Elasticsearch Service). Use Amazon ES to perform text-based searches of the logs for ad-hoc analyses and use OpenSearch Dashboards (Kibana) for data visualizations.
C. Create an AWS Lambda function to convert the logs into .csv format. Then add the function to the Kinesis Data Firehose transformation configuration. Use Amazon Redshift to perform ad-hoc analyses of the logs using SQL queries and use Amazon QuickSight to develop data visualizations.
D. Create an Amazon EMR cluster and use Amazon S3 as the data source. Create an Apache Spark job to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.

Show Suggested Answer

Suggested Answer: A 🗳️

by Priyanka_01 at Aug. 15, 2020, 9:54 a.m.

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Priyanka_01

Highly Voted 3 years, 9 months ago

A ? Any thoughts https://aws.amazon.com/blogs/big-data/analyzing-aws-waf-logs-with-amazon-es-amazon-athena-and-amazon-quicksight/

upvoted 48 times

attaraya

3 years, 7 months ago

https://docs.aws.amazon.com/athena/latest/ug/waf-logs.html

upvoted 1 times

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nadavw

2 years, 7 months ago

from the link: If your use case requires the analysis of data in real time, then Amazon OpenSearch Service is more suitable for your needs. If you prefer a serverless approach that doesn’t require capacity planning or cluster management, then the solution with AWS Glue, Athena, and Amazon QuickSight is more suitable.

upvoted 1 times

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hans1234

Highly Voted 3 years, 8 months ago

"infrequently" is a typical keyword for athena. Same as "ad-hoc" .

upvoted 16 times

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apk123457890

Most Recent 1 year, 8 months ago

Why not B? the question doesn't restrict cost parameter and this will be with least development effort

upvoted 1 times

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pk349

2 years, 2 months ago

A: I passed the test

upvoted 2 times

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anjuvinayan

2 years, 2 months ago

Answer is A B. ES cost is high C. redshift cost is High D.EMR is less costly than Glue but nothing mentioned about queries, just job D.EMR is less costly than Glue. But development effort is more considering cluster creation

upvoted 1 times

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srirnag

2 years, 4 months ago

Why not B. Not a single line of code required. It just requires a streaming config in ES and configuration of Kibana. It is B for me.

upvoted 2 times

anjuvinayan

2 years, 2 months ago

Cost of ES is high

upvoted 1 times

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cloudlearnerhere

2 years, 8 months ago

Selected Answer: A

Correct answer is A. Using Glue crawler over S3 data can be used to create a data catalog, that can be queried using Athena and visualized using QuickSight. This solution does not require additional resources, data duplication and uses serverless managed services. Option B is wrong as Elasticsearch cluster would not provide a cost-effective solution. Option C is wrong as Redshift cluster with a Lambda job would not provide a cost-effective solution, and would also need development effort. Option D is wrong as EMR cluster with a Spark job would not provide a cost-effective solution, and would also need development effort.

upvoted 2 times

anjuvinayan

2 years, 2 months ago

EMR is less costly than Glue. But development effort is more considering cluster creation

upvoted 2 times

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Arka_01

2 years, 9 months ago

Selected Answer: A

"low-cost option to perform this infrequent data analysis with visualizations of logs in a way that requires minimal development effort" - This is the key. As the solution is required for infrequent analysis, so OpenSearch will be costlier solution than a combination of Athena and QuickSight.

upvoted 2 times

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rocky48

2 years, 11 months ago

Selected Answer: A

A is the answer as its cost effective.

upvoted 1 times

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jpratik1

3 years ago

Selected Answer: A

Low cost and rare

upvoted 1 times

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Bik000

3 years, 1 month ago

Either A or B

upvoted 1 times

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Jayproton

3 years, 2 months ago

Selected Answer: A

Per this https://aws.amazon.com/blogs/big-data/analyzing-aws-waf-logs-with-amazon-es-amazon-athena-and-amazon-quicksight/ A should be answer

upvoted 1 times

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Crypt0zknight

3 years, 6 months ago

A https://docs.aws.amazon.com/athena/latest/ug/when-should-i-use-ate.html Integrates easily with Glue and Quicksight

upvoted 1 times

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aws2019

3 years, 7 months ago

A is prefered

upvoted 2 times

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Chints01

3 years, 7 months ago

Answer is A if the ask is low-cost (asked in this question) B - this should be the answer if the ask is to have the best solution for log analysis (this is not cost efficient) C and D can be ruled out for obvious reasons of including so many services when the requirement can be met without them

upvoted 1 times

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Donell

3 years, 8 months ago

Answer A

upvoted 1 times

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Brijeshkrishna

3 years, 8 months ago

A is the answer as its cost effective. Athena and Quicksight Standard are very cost effective compared to Elasticsearch Cluster which is expensive.

upvoted 2 times

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