Question 817 of 1,446
Manage a solution that can span multiple database technologies →mediumMultiple SelectObjective-mapped
PCDE Practice Question: Manage a solution that can span multiple database technologies
A company uses Cloud Spanner and needs to implement change data capture (CDC) to stream changes to a downstream analytics pipeline. Which two features can they use? (Choose TWO.)
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
✓
Pub/Sub integration to consume change stream data
Spanner change streams capture row-level changes in a Cloud Spanner database. These changes can be consumed via Pub/Sub integration, allowing downstream analytics pipelines to process the data. Therefore, Option E (Spanner change streams) is correct for capturing the changes, and Option A (Pub/Sub integration) is correct for streaming them. Option B (Cloud SQL for PostgreSQL logical replication) is not applicable as it is for Cloud SQL, not Spanner. Option C (Datastream) is used for database migrations and replication, not for CDC from Spanner. Option D (Bigtable replication) is for Bigtable, not Spanner.
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 integration to consume change stream data
Why this is correct
Changes from change streams can be published to Pub/Sub.
- ✗
Cloud SQL for PostgreSQL logical replication
Why it's wrong here
Not applicable to Spanner.
- ✗
Datastream
Why it's wrong here
Datastream is for continuous database replication, not native Spanner CDC.
- ✗
Bigtable replication
Why it's wrong here
Not a Spanner feature.
- ✓
Spanner change streams
Why this is correct
Captures row-level changes in Spanner.
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Last reviewed: Jul 4, 2026
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