PDE Ingesting and Processing the Data Practice Question
A company needs to continuously synchronize customer data changes from an on-premises Oracle database to BigQuery for near-real-time analytics. The Oracle database has Change Data Capture (CDC) enabled. Which Google Cloud service should be used to stream these changes with minimal latency and schema evolution support?
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
✓
Use Datastream to stream CDC changes from Oracle to BigQuery
Datastream is designed to stream CDC from Oracle (and MySQL/PostgreSQL) directly to BigQuery or GCS, supporting schema evolution and low-latency replication.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy a Dataflow pipeline with a JDBC source and Pub/Sub
Why it's wrong here
This approach can be built but requires custom development and lacks native CDC support.
- ✗
Use Cloud SQL with a read replica and enable binary logging
Why it's wrong here
This would capture changes to Cloud SQL, not on-prem Oracle.
- ✗
Use Transfer Appliance to copy Oracle data periodically
Why it's wrong here
Transfer Appliance is for offline bulk transfer, not continuous CDC.
- ✓
Use Datastream to stream CDC changes from Oracle to BigQuery
Why this is correct
Datastream directly supports Oracle CDC and streams to BigQuery with schema evolution.
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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.