Amazon Exam BDS-C00 Topic 9 Question 96 Discussion

Actual exam question for Amazon's BDS-C00 exam

Question #: 96
Topic #: 9

A company has several teams of analytics. Each team of analysts has their own cluster. The teams need to run SQL queries using Hive, Spark-SQL and Presto with Amazon EMR. The company needs to enable a centralized metadata layer to expose the Amazon S3 objects as tables to the analysts.

Which approach meets the requirement for a centralized metadata layer?

AEMRFS consistent view with a common Amazon DynamoDB table

BBootstrap action to change the Hive Metastore to an Amazon RDS database

Cs3distcp with the outputManifest option to generate RDS DDL

Dnaming scheme support with automatic partition discovery from Amazon S3

Show Suggested Answer

Suggested Answer: C

by Pansy at Jul 03, 2024, 02:51 AM

Limited Time Offer

25%

Off

Get Premium BDS-C00 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Tien

1 months ago

Ah, the age-old battle of centralized metadata versus distributed metadata. It's like trying to herd cats - you just never know which way they're going to go.

upvoted 0 times

...

Art

1 months ago

You know, if they really want to get creative, they could try creating a centralized metadata layer using interpretive dance and semaphore flags. That would definitely be a unique approach!

upvoted 0 times

Rima

7 days ago

Yeah, I think that option would provide the necessary centralized metadata layer while still being practical and efficient.

upvoted 0 times

...

Denae

10 days ago

I think option A) EMRFS consistent view with a common Amazon DynamoDB table would be the best approach for a centralized metadata layer.

upvoted 0 times

...

Shaun

13 days ago

I agree, it's definitely a unique approach, but I think we should stick to more traditional methods for this task.

upvoted 0 times

...

Jose

16 days ago

That's an interesting idea, but I don't think interpretive dance and semaphore flags would work for creating a centralized metadata layer.

upvoted 0 times

...

Carissa

1 months ago

The naming scheme support with automatic partition discovery from Amazon S3 sounds like a convenient solution, but I'm not sure if it would offer the same level of control and consistency as the EMRFS approach.

upvoted 0 times

...

Shawnee

1 months ago

s3distcp with the outputManifest option to generate RDS DDL seems like an interesting approach, but I'm not sure if it would provide the same level of centralization as the EMRFS consistent view.

upvoted 0 times

Coral

13 days ago

C) s3distcp with the outputManifest option to generate RDS DDL

upvoted 0 times

...

Jeanice

21 days ago

B) Bootstrap action to change the Hive Metastore to an Amazon RDS database

upvoted 0 times

...

Gerald

22 days ago

A) EMRFS consistent view with a common Amazon DynamoDB table

upvoted 0 times

...

Marva

2 months ago

Bootstrapping the Hive Metastore to an Amazon RDS database could also work, but it might add more complexity to the setup and maintenance.

upvoted 0 times

Lai

8 days ago

D) naming scheme support with automatic partition discovery from Amazon S3

upvoted 0 times

...

Lacresha

13 days ago

B) Bootstrap action to change the Hive Metastore to an Amazon RDS database

upvoted 0 times

...

Myra

1 months ago

A) EMRFS consistent view with a common Amazon DynamoDB table

upvoted 0 times

...

Barrie

2 months ago

The use of EMRFS consistent view with a common Amazon DynamoDB table seems like a straightforward approach to meet the requirement for a centralized metadata layer. It should provide a consistent view of the Amazon S3 objects across the different teams.

upvoted 0 times