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Exam Professional Cloud Database Engineer All Questions

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Exam Professional Cloud Database Engineer topic 1 question 92 discussion

Actual exam question from Google's Professional Cloud Database Engineer
Question #: 92
Topic #: 1
[All Professional Cloud Database Engineer Questions]

Your organization has a ticketing system that needs an online marketing analytics and reporting application. You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?

  • A. Cloud SQL
  • B. BigQuery
  • C. Cloud Spanner
  • D. Bigtable
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Suggested Answer: B 🗳️

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SVGoogle89
Highly Voted 1 year, 11 months ago
bigquery - Analytics and reporting
upvoted 13 times
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juliorevk
Highly Voted 1 year, 2 months ago
Selected Answer: B
This question is poorly worded. I interpret it as: you have a ticketing system that needs an analytics and reporting app. Which database for this analytics and reporting app (not the ticketing system)? It should be BQ. However, it could also be read as what database for the ticketing system which also happens to need analytics and reporting. Which means the answer should be Spanner. Very confusing, but I'm leaning towards B for BQ based on my first interpretation.
upvoted 6 times
dija123
7 months ago
Indeed!
upvoted 1 times
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Kayceetalks
Most Recent 2 weeks, 5 days ago
Selected Answer: B
BigQuery (B) is the most appropriate choice. Although it's a data warehouse, it uses SQL, handles relational structures for analytical purposes, and is explicitly designed for analytics on hundreds of terabytes to petabytes of data.
upvoted 1 times
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bad5fad
2 months, 2 weeks ago
Selected Answer: C
C. The answer is cloud spanner. They need a DDBB, big query is not a DDBB
upvoted 1 times
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james2033
9 months ago
Selected Answer: B
Marketing analytics https://cloud.google.com/bigquery?hl=en#marketing-analytics
upvoted 1 times
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Jason_Cloud_at
9 months, 4 weeks ago
Selected Answer: C
C because OLTP supported in spanner not in BQ
upvoted 1 times
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PKookNN
10 months, 3 weeks ago
Selected Answer: B
the question ask about the database for the new app which is analytic and reporting so this should BQ.
upvoted 1 times
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learnazureportal
1 year, 2 months ago
option B - managing hundreds of terabytes of data and supporting an online marketing analytics and reporting application, BigQuery (Option B) is the most suitable choice
upvoted 1 times
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Kapello10
1 year, 2 months ago
Selected Answer: C
The answer is C Bigquery is not a Database " You need to select a relational database " Bigquery is a Datawarehouse
upvoted 5 times
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badrisrinivas9
1 year, 4 months ago
Selected Answer: C
It might be both B and C. B- for analytic purpose but I would be inclining to C as we need OLTP database for ticketing systems.
upvoted 2 times
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Ryannn23
1 year, 4 months ago
Selected Answer: B
Bigquery is relational and recomanded for analytics: https://cloud.google.com/products/databases
upvoted 2 times
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DBAgain
1 year, 5 months ago
Selected Answer: B
This is an analytics problem suited for BigQuery. Cloud Spanner isn't a good solution for analytics queries that scan a full table to do aggregations of the data because the query would span multiple (or all) shards).
upvoted 2 times
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dynamic_dba
1 year, 9 months ago
C. Cloud SQL could not scale to 100s of TBs. Eliminate A. Neither Big Query nor Bigtable are relational (although BigQuery does support SQL). Eliminate B and D. That leaves C.
upvoted 4 times
Ryannn23
1 year, 4 months ago
Bigquery is relational: https://cloud.google.com/products/databases Moreover, BQ is designed for "Multicloud analytics"
upvoted 3 times
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lukacs16
1 year, 10 months ago
Cloud SQL has a double-digit TB storage limit so it's Cloud Spanner.
upvoted 1 times
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muky31dec
1 year, 10 months ago
Big query is data warehouse not a relational database
upvoted 1 times
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ssaporylo
1 year, 11 months ago
Analytical Database with no transactions my vote B
upvoted 3 times
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SandyZA
1 year, 11 months ago
B - This is a new application used for analytics, it does not need to take care of the DML required by the ticketing system
upvoted 4 times
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A (35%)
C (25%)
B (20%)
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