- A
Deploy a Dataflow pipeline with a JDBC source and Pub/Sub
Why wrong: This approach can be built but requires custom development and lacks native CDC support.
- B
Use Cloud SQL with a read replica and enable binary logging
Why wrong: This would capture changes to Cloud SQL, not on-prem Oracle.
- C
Use Transfer Appliance to copy Oracle data periodically
Why wrong: Transfer Appliance is for offline bulk transfer, not continuous CDC.
- D
Use Datastream to stream CDC changes from Oracle to BigQuery
Datastream directly supports Oracle CDC and streams to BigQuery with schema evolution.
Question 667 of 1,000
PDE Ingesting and Processing the Data Practice Question
This PDE practice question tests your understanding of ingesting and processing the data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
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.
Related concept
Standard ACLs match source addresses.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
- Standard ACLs match source addresses.
- Extended ACLs can match source, destination, protocol and ports.
- The first matching ACL entry is used.
- There is usually an implicit deny at the end.
TExam Day Tips
- Check inbound versus outbound direction.
- Read the ACL from top to bottom.
- Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PDE ACL questions on filtering logic and placement.
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Ingesting and Processing the Data — study guide chapter
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FAQ
Questions learners often ask
What does this PDE question test?
Ingesting and Processing the Data — This question tests Ingesting and Processing the Data — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this PDE question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PDE ACL questions on filtering logic and placement.
What is the key concept behind this question?
Standard ACLs match source addresses.
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Last reviewed: Jul 4, 2026
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