Amazon Exam DAS-C01 Topic 2 Question 97 Discussion

Actual exam question for Amazon's DAS-C01 exam

Question #: 97
Topic #: 2

A retail company has 15 stores across 6 cities in the United States. Once a month, the sales team requests a visualization in Amazon QuickSight that provides the ability to easily identify revenue trends across cities and stores. The visualization also helps identify outliers that need to be examined with further analysis.

Which visual type in QuickSight meets the sales team's requirements?

AGeospatial chart

BLine chart

CHeat map

DTree map

Show Suggested Answer

Suggested Answer: C

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

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Junita

11 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

11 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

10 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

10 months ago

C: Option A definitely minimizes operational overhead compared to creating separate clusters for each department.

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Gilma

11 months ago

B: I agree, Option A seems like the best choice for managing access to the data lake.

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Veronika

11 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

11 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

12 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

12 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

11 months ago

I agree. It's important to have a scalable solution in place for future growth.

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Tess

11 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

12 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

12 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

12 months ago

I think option A is the best choice. It allows for specific access control for each department.

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