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Google Professional Data Engineer Exam - Topic 4 Question 6 Discussion

You need to compose visualization for operations teams with the following requirements:Telemetry must include data from all 50,000 installations for the most recent 6 weeks (sampling once every minute)The report must not be more than 3 hours delayed from live data.The actionable report should only show suboptimal links.Most suboptimal links should be sorted to the top.Suboptimal links can be grouped and filtered by regional geography.User response time to load the report must be
B) Look through the current data and compose a small set of generalized charts and tables bound to criteria filters that allow value selection.
A) Look through the current data and compose a series of charts and tables, one for each possible combination of criteria.
C) Export the data to a spreadsheet, compose a series of charts and tables, one for each possible combination of criteria, and spread them across multiple tabs.
D) Load the data into relational database tables, write a Google App Engine application that queries all rows, summarizes the data across each criteria, and then renders results using the Google Charts and visualization API.

Google Professional Data Engineer Exam - Topic 4 Question 6 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 6
Topic #: 4
[All Professional Data Engineer Questions]

You need to compose visualization for operations teams with the following requirements:

Telemetry must include data from all 50,000 installations for the most recent 6 weeks (sampling once every minute)

The report must not be more than 3 hours delayed from live data.

The actionable report should only show suboptimal links.

Most suboptimal links should be sorted to the top.

Suboptimal links can be grouped and filtered by regional geography.

User response time to load the report must be <5 seconds.

You create a data source to store the last 6 weeks of data, and create visualizations that allow viewers to see multiple date ranges, distinct geographic regions, and unique installation types. You always show the latest data without any changes to your visualizations. You want to avoid creating and updating new visualizations each month. What should you do?

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Suggested Answer: B

by Emerson at May 06, 2022, 08:06 PM

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Karol
10 months ago
Not sure if Google Charts can handle all that data without lag.
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Lottie
10 months ago
Definitely going with B, it keeps things simple and efficient.
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Lenita
11 months ago
Wait, can we really handle 50,000 installations that quickly?
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Elfrieda
11 months ago
I disagree, D sounds more robust for handling large data.
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Vincent
11 months ago
Option B seems like the best choice for flexibility.
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Fletcher
11 months ago
I feel like option C could be too static since it involves exporting to a spreadsheet, which doesn't align with the real-time data requirement.
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Kiera
11 months ago
I'm not entirely sure, but I think creating a series of charts for every combination, like in option A, could lead to too much clutter.
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Ettie
11 months ago
I remember we discussed the importance of using filters for dynamic reports, so option B sounds like it could be the right approach.
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Merri
11 months ago
I practiced a similar question where we had to optimize report loading times. I think option D might be overkill for this scenario.
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Twila
11 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about the implications of enabling My Domain.
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Rosalia
11 months ago
Replacing the SFP in slot fc2/12 seems like a bit of a long shot, unless we have some indication that there might be a hardware issue. I'll keep that in the back of my mind, but I think I'll focus on the other options first.
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Winifred
11 months ago
I've got a good feeling about this one. Based on my understanding of Prisma Cloud, I think the correct answers are BitBucket and CircleCI.
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