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Question 125 - Cloud Digital Leader discussion

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While on-premise, an enterprise had multiple teams, each with its own analytics data store.

Attempts to converge the storage for centralized, company-wide analysis failed because of speed and scaling issues. What would be the preferred destination architecture on Google Cloud?

A.
Migrate to Bigtable which provides high throughput reads and writes.
Answers
A.
Migrate to Bigtable which provides high throughput reads and writes.
B.
Migrate to Cloud Spanner as a globally scalable SQL database.
Answers
B.
Migrate to Cloud Spanner as a globally scalable SQL database.
C.
Migrate to BigQuery as a central data warehouse.
Answers
C.
Migrate to BigQuery as a central data warehouse.
D.
Migrate to Cloud SQL which supports multiple databases like MySQL, PostgreSQL, and SQL Server - all of the customer's SQL databases can be accommodated here.
Answers
D.
Migrate to Cloud SQL which supports multiple databases like MySQL, PostgreSQL, and SQL Server - all of the customer's SQL databases can be accommodated here.
Suggested answer: C

Explanation:

BigQuery is the data warehousing option on Google Cloud. Since the source data has already been used for analysis, it should easily fit the BigQuery structure too.

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asked 18/09/2024
mallesu kante
29 questions
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