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Amazon Exam BDS-C00 Topic 9 Question 96 Discussion

Actual exam question for Amazon's BDS-C00 exam
Question #: 96
Topic #: 9
[All BDS-C00 Questions]

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?

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Suggested Answer: C

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

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Tien
13 days 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.
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Art
16 days 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!
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Carissa
21 days 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.
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Shawnee
25 days 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.
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Jeanice
2 days ago
B) Bootstrap action to change the Hive Metastore to an Amazon RDS database
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Gerald
3 days ago
A) EMRFS consistent view with a common Amazon DynamoDB table
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Marva
1 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.
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Myra
16 days ago
A) EMRFS consistent view with a common Amazon DynamoDB table
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Barrie
1 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.
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Isreal
16 days ago
That sounds like a good solution for centralized metadata
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Arthur
24 days ago
A) EMRFS consistent view with a common Amazon DynamoDB table
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Barrett
2 months ago
But wouldn't using a common DynamoDB table provide a more centralized metadata layer for the analysts to access?
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Melissia
2 months ago
I disagree, I believe option D) naming scheme support with automatic partition discovery from Amazon S3 is more efficient.
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Barrett
2 months ago
I think option A) EMRFS consistent view with a common Amazon DynamoDB table is the best approach.
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