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Question 247 - Professional Data Engineer discussion

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You are building a report-only data warehouse where the data is streamed into BigQuery via the streaming API Following Google's best practices, you have both a staging and a production table for the data How should you design your data loading to ensure that there is only one master dataset without affecting performance on either the ingestion or reporting pieces?

A.
Have a staging table that is an append-only model, and then update the production table every three hours with the changes written to staging
Answers
A.
Have a staging table that is an append-only model, and then update the production table every three hours with the changes written to staging
B.
Have a staging table that is an append-only model, and then update the production table every ninety minutes with the changes written to staging
Answers
B.
Have a staging table that is an append-only model, and then update the production table every ninety minutes with the changes written to staging
C.
Have a staging table that moves the staged data over to the production table and deletes the contents of the staging table every three hours
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C.
Have a staging table that moves the staged data over to the production table and deletes the contents of the staging table every three hours
D.
Have a staging table that moves the staged data over to the production table and deletes the contents of the staging table every thirty minutes
Answers
D.
Have a staging table that moves the staged data over to the production table and deletes the contents of the staging table every thirty minutes
Suggested answer: D
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asked 18/09/2024
Maxime ESSIS
38 questions
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