Google Cloud Professional Cloud Architect — Question 169

You are working with a data warehousing team that performs data analysis. The team needs to process data from external partners, but the data contains personally identifiable information (PII). You need to process and store the data without storing any of the PIIE data. What should you do?

Answer options

• A. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline, use the Cloud Data Loss Prevention (Cloud DLP) API to remove any PII data. Store the result in BigQuery.
• B. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline, store all non-PII data in BigQuery and store all PII data in a Cloud Storage bucket that has a retention policy set.
• C. Ask the external partners to upload all data on Cloud Storage. Configure Bucket Lock for the bucket. Create a Dataflow pipeline to read the data from the bucket. As part of the pipeline, use the Cloud Data Loss Prevention (Cloud DLP) API to remove any PII data. Store the result in BigQuery.
• D. Ask the external partners to import all data in your BigQuery dataset. Create a dataflow pipeline to copy the data into a new table. As part of the Dataflow bucket, skip all data in columns that have PII data

Correct answer: A

Explanation

The correct answer is A because it effectively uses the Cloud Data Loss Prevention (Cloud DLP) API to remove any PII data before storing the results in BigQuery, ensuring compliance with data protection requirements. Option B fails to protect PII data by storing it in a Cloud Storage bucket, while option C unnecessarily involves external partners uploading data to Cloud Storage, which is not required. Option D does not adequately address the need to process PII data, as it merely skips columns instead of removing PII entirely.