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You work for a healthcare company that has a large on-premises data system containing patient...

You work for a healthcare company that has a large on-premises data system containing patient records with personally identifiable information (PII) such as names, addresses, and medical diagnoses. You need a standardized managed solution that de-identifies PII across all your data feeds prior to ingestion to Google Cloud. What should you do?

A.

Use Cloud Run functions to create a serverless data cleaning pipeline. Store the cleaned data in BigQuery.

B.

Use Cloud Data Fusion to transform the data. Store the cleaned data in BigQuery.

C.

Load the data into BigQuery, and inspect the data by using SQL queries. Use Dataflow to transform the data and remove any errors.

D.

Use Apache Beam to read the data and perform the necessary cleaning and transformation operations. Store the cleaned data in BigQuery.

Google Associate-Data-Practitioner Summary

  • Vendor: Google
  • Product: Associate-Data-Practitioner
  • Update on: Jul 22, 2025
  • Questions: 106
Price: $52.5  $149.99
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