- A
Create a VPN between AWS and GCP and use federated query in BigQuery to read from Redshift directly.
Why wrong: BigQuery does not support federated query against Redshift.
- B
Use Cloud Data Fusion to read from Redshift directly and write to BigQuery.
Why wrong: Data Fusion can do that, but it's more complex and not the most efficient for bulk transfer.
- C
Use AWS Database Migration Service (DMS) to replicate data to Cloud SQL and then use BigQuery federated query.
Why wrong: This adds unnecessary complexity and latency.
- D
Export Redshift data to S3, copy to Cloud Storage using Storage Transfer Service, then load into BigQuery.
This is efficient and leverages Google's transfer services.
Question 236 of 980
PCD Migrate Data Solutions Practice Question
This PCD practice question tests your understanding of migrate data solutions. 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.
An organization is migrating from Amazon Redshift to BigQuery. They have large datasets stored in Amazon S3. What is the most efficient method to migrate the data?
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
✓
Export Redshift data to S3, copy to Cloud Storage using Storage Transfer Service, then load into BigQuery.
The recommended approach is to export Redshift data to S3, then use BigQuery Data Transfer Service for Redshift to load data directly into BigQuery, or use Cloud Storage as intermediate. The most efficient is to use the BigQuery Data Transfer Service which can read from S3 directly (via a transfer config) or use Cloud Storage as a staging area.
Key principle: OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a VPN between AWS and GCP and use federated query in BigQuery to read from Redshift directly.
Why it's wrong here
BigQuery does not support federated query against Redshift.
- ✗
Use Cloud Data Fusion to read from Redshift directly and write to BigQuery.
Why it's wrong here
Data Fusion can do that, but it's more complex and not the most efficient for bulk transfer.
- ✗
Use AWS Database Migration Service (DMS) to replicate data to Cloud SQL and then use BigQuery federated query.
Why it's wrong here
This adds unnecessary complexity and latency.
- ✓
Export Redshift data to S3, copy to Cloud Storage using Storage Transfer Service, then load into BigQuery.
Why this is correct
This is efficient and leverages Google's transfer services.
Related concept
OSPF neighbours must agree on key parameters.
Common exam traps
Common exam trap: OSPF can fail even when IP connectivity looks correct
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Detailed technical explanation
How to think about this question
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
KKey Concepts to Remember
- OSPF neighbours must agree on key parameters.
- Router ID selection can affect neighbour relationships and LSDB output.
- OSPF cost influences the preferred path.
- A route can appear in OSPF information but not become the installed route.
TExam Day Tips
- Check area mismatch first when OSPF adjacency fails.
- Review passive interfaces when a network is advertised but no neighbour forms.
- Use show ip ospf neighbor and show ip route clues carefully.
Key takeaway
OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related PCD OSPF questions on adjacency and route selection.
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Migrate Data Solutions — study guide chapter
Learn the concepts, then practise the questions
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FAQ
Questions learners often ask
What does this PCD question test?
Migrate Data Solutions — This question tests Migrate Data Solutions — OSPF neighbours must agree on key parameters..
What is the correct answer to this question?
The correct answer is: Export Redshift data to S3, copy to Cloud Storage using Storage Transfer Service, then load into BigQuery. — The recommended approach is to export Redshift data to S3, then use BigQuery Data Transfer Service for Redshift to load data directly into BigQuery, or use Cloud Storage as intermediate. The most efficient is to use the BigQuery Data Transfer Service which can read from S3 directly (via a transfer config) or use Cloud Storage as a staging area.
What should I do if I get this PCD question wrong?
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related PCD OSPF questions on adjacency and route selection.
What is the key concept behind this question?
OSPF neighbours must agree on key parameters.
About these practice questions
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Last reviewed: Jul 4, 2026
This PCD 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 PCD exam.
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