Free Google Professional Data Engineer Actual Exam Questions - Question 10 Discussion
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?
This one feels like B for me too. Creating a small set of charts with filters makes sense since you can avoid the explosion of visuals in A or C and skip the heavy lifting of building a custom app in D. Plus, filters let users drill down on geography or date range without needing new visuals each month. As long as the data source supports quick queries, this should keep load times manageable and reports fresh without extra maintenance.
Not C, spreadsheets won’t scale well with 50,000 installations and frequent updates. B sounds better since filters keep it dynamic without overwhelming the system.
B imo, it’s way easier to manage filters than creating tons of static charts like A or C. Plus, it keeps the report dynamic and fast without extra coding like D.
Probably B makes the most sense here since it lets users filter and drill down without needing tons of separate charts. A and C sound way too manual and hard to maintain.
Sounds like option B would be more flexible without overcomplicating things.