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PROFESSIONAL-DATA-ENGINEER · Question #266
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
The correct answer is C. Use Dataflow to identity longtail and outber data points programmatically with BigQuery as a sink. You've hit your limit · resets 5am (America/New_York)
Submitted by lars.no· Mar 30, 2026Building and operationalizing data processing systems
Question
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?
Options
- 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
How the community answered
(46 responses)- A11% (5)
- B4% (2)
- C83% (38)
- D2% (1)
Explanation
You've hit your limit · resets 5am (America/New_York)
Topics
#Dataflow#BigQuery#near-real-time processing#data cleansing
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