Exam AWS Certified Big Data - Specialty All Questions

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Exam AWS Certified Big Data - Specialty topic 1 question 16 discussion

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

Question #: 16
Topic #: 1

[All AWS Certified Big Data - Specialty Questions]

An administrator needs to design the event log storage architecture for events from mobile devices. The event data will be processed by an Amazon EMR cluster daily for aggregated reporting and analytics before being archived.
How should the administrator recommend storing the log data?

A. Create an Amazon S3 bucket and write log data into folders by device. Execute the EMR job on the device folders.
B. Create an Amazon DynamoDB table partitioned on the device and sorted on date, write log data to table. Execute the EMR job on the Amazon DynamoDB table.
C. Create an Amazon S3 bucket and write data into folders by day. Execute the EMR job on the daily folder.
D. Create an Amazon DynamoDB table partitioned on EventID, write log data to table. Execute the EMR job on the table.

Show Suggested Answer

Suggested Answer: A 🗳️

by mattyb123 at Aug. 12, 2019, 7:34 a.m.

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Comments

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mattyb123

Highly Voted 3 years, 11 months ago

Thoughts on C?

upvoted 6 times

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Mandy_007

Most Recent 1 year, 8 months ago

I think C is correct. We are running EMR daily, so partitioning by day will give data for all devices for each day.

upvoted 1 times

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KartV

3 years, 9 months ago

I think it is A because the EMR job is run daily, so partitioning by day will lead to only one partition. Partitioning by device, on the other hand, allows for parallel jobs to be run for each device or group of devices.

upvoted 2 times

KartV

3 years, 9 months ago

On second thought, it could still be C because one can sub-partition the logs by device under date. E.g. date/device which still allows for parallelization. Whereas device/date will be the read query more complex as the job needs to be run daily.

upvoted 1 times

Corram

3 years, 9 months ago

Actually, you don't need supartitioning. Partitioning isn't even a thing in S3. Instead, EMR is quite capable of reading many objects from one s3 folder in parallel. Also, if possible, it splits up the objects into 64MB chunks when reading so it can even read one object in parallel. Bottom line, C is true and thinking about partitioning does not make sense in this context. hope it helps :)

upvoted 1 times

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Debi_mishra

3 years, 9 months ago

Answer should be C. It's a daily aggregation not by device.

upvoted 1 times

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jiedee

3 years, 9 months ago

of course is C A is clearly wrong because the api call fee is TOOOOOOOOO expensive

upvoted 2 times

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san2020

3 years, 9 months ago

my selection C

upvoted 1 times

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kalpanareddy

3 years, 10 months ago

Why not A

upvoted 1 times

practicioner

3 years, 10 months ago

Because of the partition scheme. We should imagine about simple access method. In this case "yyyy/mm/dd" or similar are the best choice for partitioning.

upvoted 1 times

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