Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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 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?

Show Suggested Answer Hide Answer
Suggested Answer: C

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

Limited Time Offer

25%

Off

Get Premium DAS-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Junita
8 months ago
Option A looks good, but I'm worried about the scalability. 800 tables now, but thousands later? IAM roles could get unwieldy.
upvoted 0 times
...
Martina
8 months ago
Haha, Option D is like setting up a whole new theme park just for each department. Talk about operational overhead!
upvoted 0 times
Yvonne
7 months ago
D: Yeah, Option D does seem like a lot of work. Option A is definitely the way to go for this scenario.
upvoted 0 times
...
Raelene
7 months ago
C: Option A definitely minimizes operational overhead compared to creating separate clusters for each department.
upvoted 0 times
...
Gilma
8 months ago
B: I agree, Option A seems like the best choice for managing access to the data lake.
upvoted 0 times
...
Veronika
8 months ago
A: Option A sounds like the most efficient solution. Each department gets specific access without creating separate clusters.
upvoted 0 times
...
...
Lili
9 months ago
I'm not sure about Option B. Creating a separate Redshift cluster for each department could get expensive and complex to manage.
upvoted 0 times
...
Lilli
9 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.
upvoted 0 times
...
Annice
9 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.
upvoted 0 times
Lashawn
8 months ago
I agree. It's important to have a scalable solution in place for future growth.
upvoted 0 times
...
Tess
9 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.
upvoted 0 times
...
...
Ceola
9 months ago
But with option A, we can use AWS Lake Formation for access control, which is more scalable as the data lake grows.
upvoted 0 times
...
Kasandra
9 months ago
I disagree, I believe option B is more efficient. Creating separate Redshift clusters for each department ensures data isolation.
upvoted 0 times
...
Ceola
9 months ago
I think option A is the best choice. It allows for specific access control for each department.
upvoted 0 times
...

Save Cancel