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PDE Ingesting and Processing the Data Practice Question

A data engineer needs to ingest on-premises Oracle CDC data into BigQuery in near real-time with minimal operational overhead. Which service should they use?

⚠ Common exam trap

Google often tests the distinction between batch migration tools (Storage Transfer Service, Transfer Appliance) and streaming CDC services (Datastream), leading candidates to choose a batch option when the question explicitly requires near-real-time ingestion.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Datastream

Datastream is purpose-built for streaming change data capture (CDC) from Oracle and other sources into BigQuery with near-real-time latency and minimal operational overhead. It handles schema propagation, checkpointing, and automatic retries, eliminating the need to manage custom ingestion pipelines.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Pub/Sub + Dataflow

    Why it's wrong here

    Pub/Sub plus Dataflow requires you to build and operate the CDC pipeline yourself, adding operational overhead the stem explicitly rules out. It is tempting because Dataflow handles custom streaming transformations well, and would be correct if no managed Oracle CDC connector existed.

  • ✗

    Storage Transfer Service

    Why it's wrong here

    Storage Transfer Service moves files and objects between object stores on a scheduled batch basis; it cannot read Oracle redo logs or apply row-level changes, so near-real-time CDC is impossible. It is tempting because it excels at bulk migrations from S3-compatible or on-premises file systems into Cloud Storage.

  • ✗

    Transfer Appliance

    Why it's wrong here

    Transfer Appliance is a physical rack-mounted device shipped to your site for bulk offline data copying, so it cannot deliver near-real-time change records. It is tempting for migrating very large datasets where network bandwidth makes online transfer impractical, but Oracle CDC requires continuous streaming.

  • ✓

    Datastream

    Why this is correct

    Datastream provides serverless change data capture from Oracle into BigQuery with minimal operational overhead, replicating changes in near real-time. It satisfies both constraints directly, unlike batch extraction tools or custom pipelines that require managing infrastructure.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PDE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PDE exam.