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Amazon Exam BDS-C00 Topic 7 Question 104 Discussion

Actual exam question for Amazon's BDS-C00 exam

Question #: 104
Topic #: 7

[All BDS-C00 Questions]

An organization would like to run analytics on their Elastic Load Balancing logs stored in Amazon S3 and join this data with other tables in Amazon S3. The users are currently using a BI tool connecting with JDBC and would like to keep using this BI tool.

Which solution would result in the LEAST operational overhead?

ATrigger a Lambda function when a new log file is added to the bucket to transform and load it into Amazon Redshift. Run the VACUUM command on the Amazon Redshift cluster every night.

BLaunch a long-running Amazon EMR cluster that continuously downloads and transforms new files from Amazon S3 into its HDFS storage. Use Presto to expose the data through JDBC.

CTrigger a Lambda function when a new log file is added to the bucket to transform and move it to another bucket with an optimized data structure. Use Amazon Athena to query the optimized bucket.

DLaunch a transient Amazon EMR cluster every night that transforms new log files and loads them into Amazon Redshift.

Show Suggested Answer

Suggested Answer: D

by Ozell at Sep 18, 2024, 05:44 AM

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Erasmo

2 months ago

I'd go with option E: hire a team of monkeys to manually transcribe the logs into a spreadsheet. Guaranteed zero operational overhead!

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Juan

9 days ago

Yeah, using Lambda to transform and move the logs to an optimized bucket for querying with Athena sounds efficient.

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Malika

16 days ago

I agree, option C seems like the best choice to minimize operational overhead.

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Kenneth

1 months ago

That's a creative solution, but I think we should stick with the options provided.

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Belen

2 months ago

I'm not a fan of long-running clusters, so B is out for me. I think I'll go with C - the optimized data structure and Athena seem like the way to go.

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Dominque

3 days ago

Yeah, I prefer a more streamlined solution.

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Darrin

1 months ago

I agree, long-running clusters can be a hassle.

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Sarah

2 months ago

Haha, I remember this kind of question from my AWS certification prep! Personally, I'd go for C. Athena is just so darn convenient.

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Son

2 months ago

Hmm, I'm leaning towards D. The transient EMR cluster seems like the simplest solution, and Redshift integration should work well with the BI tool.

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Gussie

2 months ago

This is a tricky one! I'm torn between C and D, but I think C might have the edge in terms of operational overhead.

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Edison

1 months ago

Yeah, I agree. Using Lambda to transform and move the files to an optimized bucket seems like a good solution.

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Luisa

2 months ago

I think C is the way to go, it seems like it would be less overhead.

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Nu

2 months ago

I prefer option D. Launching a transient EMR cluster every night for transformation and loading seems like a good approach.

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Altha

2 months ago

I agree with King. Using Lambda to transform and move files to an optimized bucket seems efficient.

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King

3 months ago

I think option C would result in the least operational overhead.

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