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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

Contribute your Thoughts:

Tien
27 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
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!
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Rima
3 days ago
Yeah, I think that option would provide the necessary centralized metadata layer while still being practical and efficient.
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Denae
6 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.
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Shaun
9 days ago
I agree, it's definitely a unique approach, but I think we should stick to more traditional methods for this task.
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Jose
12 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.
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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.
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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.
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Coral
9 days ago
C) s3distcp with the outputManifest option to generate RDS DDL
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Jeanice
17 days ago
B) Bootstrap action to change the Hive Metastore to an Amazon RDS database
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Gerald
18 days ago
A) EMRFS consistent view with a common Amazon DynamoDB table
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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.
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Lai
4 days ago
D) naming scheme support with automatic partition discovery from Amazon S3
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Lacresha
9 days ago
B) Bootstrap action to change the Hive Metastore to an Amazon RDS database
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Myra
1 months ago
A) EMRFS consistent view with a common Amazon DynamoDB table
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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.
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Willis
12 days ago
I agree, it would make it easier for all teams to access the data
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Isreal
1 months ago
That sounds like a good solution for centralized metadata
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Arthur
1 months 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
3 months ago
I think option A) EMRFS consistent view with a common Amazon DynamoDB table is the best approach.
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