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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
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B is the only option which uses DLP prior to the data being written into BQ. D is same as C ( no difference texhnically ) , hence C or D cant be the answer, they dont even mention protecting the raw data bucket
B says write batches of data to BIQuery, which means it has to wait for the batch to be full, which makes it not real-time.
Task: "You are building a real-time prediction engine". Solution D: " Periodically conduct a bulk scan" is NOT REAL TIME. It is the recommended architecture, but in order to satisfy the task, the cloud function would need to be triggered by each new data landing in GCP - which is totally doable and would be the right solution, but this is NOT WHAT THE ANSWER IS SAYING. Therefore B is the next best option (although not the recommended architecture design)