- A
Cloud Spanner with interleaved tables
Why wrong: Spanner is for globally distributed OLTP; analytical queries are not its strength.
- B
AlloyDB with columnar engine
AlloyDB combines transactional and analytical workloads with columnar engine for fast analytics.
- C
Cloud SQL for MySQL with read replicas
Why wrong: Read replicas improve read throughput but analytical queries on MySQL are slow for terabytes.
- D
Bigtable with aggregation queries
Why wrong: Bigtable supports key-value lookups, not complex analytical queries.
Question 827 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 company wants to run complex analytical queries on terabytes of sales data with sub-second query response times for dashboards. Data is updated frequently in near real-time. Which combination of services 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
✓
AlloyDB with columnar engine
AlloyDB with its columnar engine supports both high-speed transactions and fast analytical queries on the same data, fulfilling near-real-time analytics requirements.
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.
- ✗
Cloud Spanner with interleaved tables
Why it's wrong here
Spanner is for globally distributed OLTP; analytical queries are not its strength.
- ✓
AlloyDB with columnar engine
Why this is correct
AlloyDB combines transactional and analytical workloads with columnar engine for fast analytics.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud SQL for MySQL with read replicas
Why it's wrong here
Read replicas improve read throughput but analytical queries on MySQL are slow for terabytes.
- ✗
Bigtable with aggregation queries
Why it's wrong here
Bigtable supports key-value lookups, not complex analytical queries.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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.
Identify which PCDOE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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: AlloyDB with columnar engine — AlloyDB with its columnar engine supports both high-speed transactions and fast analytical queries on the same data, fulfilling near-real-time analytics requirements.
What should I do if I get this PCDOE question wrong?
Identify which PCDOE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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