PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #159
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #159: Real Exam Question with Answer & Explanation
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Question
You are training an ML model using data stored in BigQuery that contains several values that are considered Personally Identifiable Information (PII). You need to reduce the sensitivity of the dataset before training your model. Every column is critical to your model. How should you proceed?
Options
- AUsing Dataflow, ingest the columns with sensitive data from BigQuery, and then randomize the
- BUse the Cloud Data Loss Prevention (DLP) API to scan for sensitive data, and use Dataflow with
- CUse the Cloud Data Loss Prevention (DLP) API to scan for sensitive data, and use Dataflow to
- DBefore training, use BigQuery to select only the columns that do not contain sensitive data.
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