- A
Create a read-only replica and query it
Why wrong: Spanner does not have read-only replicas; all nodes serve reads and writes.
- B
Use the gcloud spanner databases execute-sql command with --query-mode=read-only
Why wrong: Even read-only queries consume CPU and can affect performance if heavy.
- C
Export the required data to BigQuery using Dataflow and run the query there
Moving data to BigQuery separates analytic workloads from production.
- D
Run the query using a read-only transaction with strong reads
Why wrong: Strong reads still consume resources on the same nodes and can impact production.
Question 168 of 1,000
PCDOE Manage Database Solutions Practice Question
This PCDOE practice question tests your understanding of manage database solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 gaming company uses Cloud Spanner to store player profiles and game state. They need to run a one-time analytic query on historical data that would take minutes and cannot impact production performance. What is the best approach?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 the required data to BigQuery using Dataflow and run the query there
Option C is correct because exporting the data to BigQuery via Dataflow isolates the analytic workload from Cloud Spanner, ensuring zero impact on production performance. Cloud Spanner is designed for transactional workloads, not heavy analytic queries that take minutes, and BigQuery is purpose-built for such analytics. This approach also avoids consuming Spanner's CPU or memory resources, which could degrade real-time game state operations.
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.
- ✗
Create a read-only replica and query it
Why it's wrong here
Spanner does not have read-only replicas; all nodes serve reads and writes.
- ✗
Use the gcloud spanner databases execute-sql command with --query-mode=read-only
Why it's wrong here
Even read-only queries consume CPU and can affect performance if heavy.
- ✓
Export the required data to BigQuery using Dataflow and run the query there
Why this is correct
Moving data to BigQuery separates analytic workloads from production.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Run the query using a read-only transaction with strong reads
Why it's wrong here
Strong reads still consume resources on the same nodes and can impact production.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that read-only replicas or transactions are fully isolated from production performance, but in Cloud Spanner they still share instance resources and can cause degradation under sustained analytic queries.
Detailed technical explanation
How to think about this question
Cloud Spanner's read-only replicas are not independent compute resources; they are part of the same instance and can still cause read-stall or resource contention under heavy load. BigQuery's separation of storage and compute allows the analytic query to run on columnar storage optimized for aggregation, while Dataflow handles the export without blocking Spanner's transactional throughput. In practice, this pattern is common for gaming companies that need to run daily analytics on player behavior without affecting live match performance.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Manage Database Solutions — study guide chapter
Learn the concepts, then practise the questions
- →
Manage Database Solutions practice questions
Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this PCDOE question test?
Manage Database Solutions — This question tests Manage Database Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Export the required data to BigQuery using Dataflow and run the query there — Option C is correct because exporting the data to BigQuery via Dataflow isolates the analytic workload from Cloud Spanner, ensuring zero impact on production performance. Cloud Spanner is designed for transactional workloads, not heavy analytic queries that take minutes, and BigQuery is purpose-built for such analytics. This approach also avoids consuming Spanner's CPU or memory resources, which could degrade real-time game state operations.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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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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