- A
Migrate to AlloyDB and use columnar engine for analytics.
Why wrong: AlloyDB is for HTAP, but not typically used as a 50 TB data warehouse.
- B
Migrate to Cloud Spanner and use its analytics interface.
Why wrong: Spanner is transactional; not optimized for complex analytical queries on 50 TB.
- C
Migrate to BigQuery and use streaming inserts for real-time data.
BigQuery is a data warehouse that supports streaming and complex queries.
- D
Migrate to Cloud SQL for PostgreSQL and use read replicas for analytics.
Why wrong: Cloud SQL is not designed for large-scale data warehousing.
Question 715 of 1,000
PCDOE Design and Plan Database Solutions Practice Question
This PCDOE practice question tests your understanding of design and plan database solutions. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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 data engineer is migrating a legacy on-premises Oracle data warehouse to Google Cloud. The source schema uses star schemas and advanced Oracle features like materialized views. The target must support real-time data from streaming sources and run complex SQL joins over 50 TB of data with low latency. Which architecture is most appropriate?
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
✓
Migrate to BigQuery and use streaming inserts for real-time data.
BigQuery is the most appropriate target because it supports real-time streaming inserts, can handle complex SQL joins over 50 TB of data with low latency via its columnar storage and distributed query engine, and can replace Oracle materialized views with logical views or scheduled queries. It also natively integrates with streaming sources like Pub/Sub, making it ideal for the real-time data requirement.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Migrate to AlloyDB and use columnar engine for analytics.
Why it's wrong here
AlloyDB is for HTAP, but not typically used as a 50 TB data warehouse.
- ✗
Migrate to Cloud Spanner and use its analytics interface.
Why it's wrong here
Spanner is transactional; not optimized for complex analytical queries on 50 TB.
- ✓
Migrate to BigQuery and use streaming inserts for real-time data.
Why this is correct
BigQuery is a data warehouse that supports streaming and complex queries.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Migrate to Cloud SQL for PostgreSQL and use read replicas for analytics.
Why it's wrong here
Cloud SQL is not designed for large-scale data warehousing.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that AlloyDB or Cloud Spanner can handle large-scale analytics workloads, but the key differentiator is that BigQuery is purpose-built for serverless analytics with streaming ingestion, while the others are primarily transactional databases with limited analytical capabilities at this scale.
Detailed technical explanation
How to think about this question
BigQuery's streaming buffer allows data to be available for query within seconds, and its columnar storage and distributed query engine (using Dremel and Borg) enable sub-second query times on petabyte-scale data by automatically parallelizing joins across thousands of slots. The migration from Oracle materialized views can be handled via BigQuery's materialized views (which are automatically refreshed) or by using scheduled queries to pre-aggregate data, maintaining the star schema design.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this PCDOE question test?
Design and Plan Database Solutions — This question tests Design and Plan Database Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Migrate to BigQuery and use streaming inserts for real-time data. — BigQuery is the most appropriate target because it supports real-time streaming inserts, can handle complex SQL joins over 50 TB of data with low latency via its columnar storage and distributed query engine, and can replace Oracle materialized views with logical views or scheduled queries. It also natively integrates with streaming sources like Pub/Sub, making it ideal for the real-time data requirement.
What should I do if I get this PCDOE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
This PCDOE 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 PCDOE exam.
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