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Amazon Exam DAS-C01 Topic 2 Question 97 Discussion

Actual exam question for Amazon's DAS-C01 exam
Question #: 97
Topic #: 2
[All DAS-C01 Questions]

A company wants to use a data lake that is hosted on Amazon S3 to provide analytics services for historical dat

a. The data lake consists of 800 tables but is expected to grow to thousands of tables. More than 50 departments use the tables, and each department has hundreds of users. Different departments need access to specific tables and columns.

Which solution will meet these requirements with the LEAST operational overhead?

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Suggested Answer: C

by Arlean at Jul 06, 2024, 11:52 AM

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Junita
4 months ago
Option A looks good, but I'm worried about the scalability. 800 tables now, but thousands later? IAM roles could get unwieldy.
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Martina
4 months ago
Haha, Option D is like setting up a whole new theme park just for each department. Talk about operational overhead!
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Yvonne
3 months ago
D: Yeah, Option D does seem like a lot of work. Option A is definitely the way to go for this scenario.
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Raelene
3 months ago
C: Option A definitely minimizes operational overhead compared to creating separate clusters for each department.
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Gilma
4 months ago
B: I agree, Option A seems like the best choice for managing access to the data lake.
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Veronika
4 months ago
A: Option A sounds like the most efficient solution. Each department gets specific access without creating separate clusters.
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Lili
5 months ago
I'm not sure about Option B. Creating a separate Redshift cluster for each department could get expensive and complex to manage.
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Lilli
5 months ago
I see your point, Ceola. Option C also offers tag-based access control, which can simplify management as the number of tables increases.
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Annice
5 months ago
Option C seems like the most efficient solution. Using tag-based access control will make it easy to manage permissions as the data lake grows.
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Lashawn
4 months ago
I agree. It's important to have a scalable solution in place for future growth.
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Tess
5 months ago
Option C seems like the most efficient solution. Using tag-based access control will make it easy to manage permissions as the data lake grows.
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Ceola
5 months ago
But with option A, we can use AWS Lake Formation for access control, which is more scalable as the data lake grows.
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Kasandra
5 months ago
I disagree, I believe option B is more efficient. Creating separate Redshift clusters for each department ensures data isolation.
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Ceola
5 months ago
I think option A is the best choice. It allows for specific access control for each department.
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