Google Exam Professional-Data-Engineer Topic 2 Question 63 Discussion

Actual exam question for Google's Google Cloud Certified Professional Data Engineer exam

Question #: 63
Topic #: 2

[All Google Cloud Certified Professional Data Engineer Questions]

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?

AUse BigQuery to ingest prepare and then analyze the data and then run queries to create views

BUse Cloud Storage as a data warehouse shell scripts tor processing, and BigQuery to create views tor desired datasets

CUse Dataflow to identity longtail and outber data points programmatically with BigQuery as a sink

DUse Cloud Composer to identify longtail and outlier data points, and then output a usable dataset to BigQuery

Show Suggested Answer

Suggested Answer: A

by Thurman at Dec 29, 2022, 08:52 AM

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