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Exam Professional Cloud Architect topic 1 question 66 discussion

Actual exam question from Google's Professional Cloud Architect
Question #: 66
Topic #: 1
[All Professional Cloud Architect Questions]

Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?

  • A. Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.
  • B. Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.
  • C. Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.
  • D. Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by asimha at Nov. 27, 2019, 4:57 p.m.

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suryalsp
Highly Voted 4 years, 11 months ago
Ans is B. Data studio cannot be used with BigTable https://datastudio.google.com/datahttps://datastudio.google.com/data
upvoted 33 times
Raja101
3 years, 2 months ago
A is correct
upvoted 4 times
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ErenYeager
2 years ago
As of today you can
upvoted 7 times
anshumankmr80
1 year, 11 months ago
Source? https://lookerstudio.google.com/data?search=big
upvoted 2 times
HD2023
1 year, 8 months ago
That’s BigQuery, not BigTable, no?
upvoted 2 times
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jrisl1991
1 year, 1 month ago
Looker is not the same as Data Studio. I know it came to replace it, but these questions are kind of old, so unless it clearly says "looker", I wouldn't take both as the same.
upvoted 2 times
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kolcsarzs
Highly Voted 4 years, 11 months ago
correct is B
upvoted 12 times
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nareshthumma
Most Recent 1 month ago
Answer is B
upvoted 1 times
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belouh
1 month ago
Selected Answer: B
Bigtable is not real time solution
upvoted 1 times
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kip21
10 months, 2 weeks ago
B - Correct A - It is not a real-time solution
upvoted 1 times
Saxena_Vibhor
9 months, 1 week ago
Why is A not a real time solution? https://cloud.google.com/bigtable/docs/integrations#opentsdb it says: OpenTSDB is a time-series database that can use Bigtable for storage. Monitoring time-series data with OpenTSDB on Bigtable and GKE shows how to use OpenTSDB to collect, record, and monitor time-series data on Google Cloud. The OpenTSDB documentation provides additional information to help you get started.
upvoted 1 times
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AdityaGupta
1 year, 1 month ago
Selected Answer: B
BigTable doesn't integrate with Data Studio https://cloud.google.com/bigtable/docs/integrations
upvoted 1 times
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LaxmanTiwari
1 year, 6 months ago
B is correct, you should create custom KPI in Stack Driver
upvoted 1 times
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omermahgoub
1 year, 11 months ago
B. Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them. To capture multiple GBs of aggregate real-time KPIs from game servers running on Google Cloud Platform and monitor them with low latency, the customer should output custom metrics to Stackdriver from the game servers. Stackdriver allows you to collect and store custom metrics, as well as view and analyze them in real-time using the Stackdriver Monitoring Console. The customer can create a Dashboard in the Monitoring Console to view the KPIs and monitor them with low latency.
upvoted 9 times
omermahgoub
1 year, 11 months ago
Option A, storing time-series data in Bigtable and viewing it using Data Studio, would not be suitable for capturing and monitoring real-time KPIs with low latency. Bigtable is a scalable NoSQL database that is optimized for large-scale batch processing, and Data Studio is a visualization tool that is not designed for real-time data analysis. Option C, scheduling BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes and visualizing the results in Data Studio, would not be suitable for capturing and monitoring real-time KPIs with low latency. BigQuery is a data warehouse that is optimized for batch processing, and it is not designed for real-time data analysis. Option D, inserting the KPIs into Cloud Datastore entities and running ad hoc analysis and visualizations of them in Cloud Datalab, would not be suitable for capturing and monitoring real-time KPIs with low latency. Cloud Datastore is a NoSQL document database, and Cloud Datalab is a data analysis and visualization tool that is not designed for real-time data analysis.
upvoted 9 times
jlambdan
1 year, 8 months ago
big table is not for batch. It is used in IOT... https://cloud.google.com/bigtable
upvoted 4 times
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Raja101
2 years ago
Selected Answer: A
A is correct
upvoted 1 times
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megumin
2 years ago
Selected Answer: B
B is ok
upvoted 1 times
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Mahmoud_E
2 years, 1 month ago
Selected Answer: B
B is correct as Data studio does not support bigtable as a source
upvoted 4 times
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zr79
2 years, 1 month ago
KPI, SLO,SLI all those work with observability which stackdriver
upvoted 2 times
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jay9114
2 years, 1 month ago
The reference provided seems irrelevant to this question.
upvoted 1 times
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bolington
2 years, 5 months ago
A is the correct answer, the key word here, real time and low latency.
upvoted 1 times
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Nirca
2 years, 6 months ago
Selected Answer: B
BigTable has no connection to data studio. https://datastudio.google.com/data?search=Big
upvoted 6 times
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BeetleJuice
2 years, 10 months ago
Selected Answer: B
B, it is
upvoted 2 times
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OrangeTiger
2 years, 10 months ago
I don't think there is a correct answer, but B looks correct in this. If use Bigquery, then A is correct . C is not for realtime. D Datastore is for small usecase. Keywords 'real time' ,'analytics' https://events.withgoogle.com/solution-design-pattern-gaming/analytics-pattern/
upvoted 2 times
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