Q: 9
A company is using a central data platform to manage multiple types of data for its customers. The
company wants to use AWS services to discover, transform, and visualize the data.
Which combination of AWS services should the company use to meet these requirements? (Select
TWO.)
Options
Discussion
A/D makes sense here. Had something like this in a mock, Glue for discovery and ETL, QuickSight is always the go-to for visualization. Redshift (C) is tempting but isn't really used for direct visualization. Pretty sure A and D fit best, but could be missing something.
Probably A and D. Glue is for data discovery and transformation (ETL jobs), QuickSight is used to visualize the data. Redshift would be analytics/data warehouse but doesn't fit the visualization piece directly. Pretty sure that's what they're looking for, but correct me if I'm missing something.
A/D? Glue does the data discovery and transformation (covers ETL), while QuickSight handles visualization. Redshift is more for analytics or warehousing, but here they want to discover and visualize, not just store. Pretty sure it's A and D, open to other views though.
Wouldn't C make sense only if they specifically asked about analytics or storing in a warehouse?
I get the appeal of A and C here, especially since Redshift is strong for analytics. C, A.
C and A tbh, because Redshift can handle analytics on top of Glue’s ETL. Maybe D is just a distractor here.
A/D tbh, but not totally sure since C could fit for analytics in some cases.
Option D Visualization means QuickSight, not Redshift, unless they ask for analytics or warehouse use specifically.
Remembered a similar scenario from practice tests, definitely A and D for discovery and visualization.
Honestly, AWS always tries to trick folks with Redshift on these. But since the question asks for discovery, transformation, and visualization (not data warehousing), I'm picking A and D. Glue does ETL/discovery, QuickSight is for visuals. Unless they meant analytics specifically, I think this fits best.
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