The correct answer is False.

You can validate and filter telemetry and batch records before they are persisted by using features in the ingestion layer and streaming pipelines. Cloud Pub/Sub supports subscription filters and client side validation and Cloud Dataflow or Apache Beam pipelines can apply transforms to drop malformed records prior to writing to storage.

Dataflow and Beam also support stateful processing and deduplication patterns so duplicates can be removed in flight by using message identifiers or keys and then only clean data is written to BigQuery or Cloud Storage. BigQuery streaming inserts can also leverage insertId to help avoid duplicates when configured correctly.

True is incorrect because it claims that records cannot be filtered until after persistence. In real architectures you can and often should filter and deduplicate during ingestion or in-stream so that corrupted or duplicate records never get persisted.

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