PROFESSIONAL-DATA-ENGINEER · Question #319
PROFESSIONAL-DATA-ENGINEER Question #319: Real Exam Question with Answer & Explanation
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Question
You are planning to load some of your existing on-premises data into BigQuery on Google Cloud. You want to either stream or batch-load data, depending on your use case. Additionally, you want to mask some sensitive data before loading into BigQuery. You need to do this in a programmatic way while keeping costs to a minimum. What should you do?
Options
- AUse Cloud Data Fusion to design your pipeline, use the Cloud DLP plug-in to de-identify data within your pipeline, and then move the data into BigQuery.
- BUse the BigQuery Data Transfer Service to schedule your migration. After the data is populated in BigQuery, use the connection to the Cloud Data Loss
- CCreate your pipeline with Dataflow through the Apache Beam SDK for Python, customizing separate options within your code for streaming, batch processing,
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