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Question 255 - Professional Data Engineer discussion

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You need ads data to serve Al models and historical data tor analytics longtail and outlier data points need to be identified You want to cleanse the data n near-reel time before running it through Al models What should you do?

A.
Use BigQuery to ingest prepare and then analyze the data and then run queries to create views
Answers
A.
Use BigQuery to ingest prepare and then analyze the data and then run queries to create views
B.
Use Cloud Storage as a data warehouse shell scripts tor processing, and BigQuery to create views tor desired datasets
Answers
B.
Use Cloud Storage as a data warehouse shell scripts tor processing, and BigQuery to create views tor desired datasets
C.
Use Dataflow to identity longtail and outber data points programmatically with BigQuery as a sink
Answers
C.
Use Dataflow to identity longtail and outber data points programmatically with BigQuery as a sink
D.
Use Cloud Composer to identify longtail and outlier data points, and then output a usable dataset to BigQuery
Answers
D.
Use Cloud Composer to identify longtail and outlier data points, and then output a usable dataset to BigQuery
Suggested answer: A
asked 18/09/2024
Jyothiswaroop Rajan
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