- A
Redesign the schema to use a separate table for frequently updated rows and batch updates using a single transaction
Isolating hot rows reduces lock conflicts; batching updates into a single transaction reduces lock hold time.
- B
Increase the number of nodes in the Spanner instance
Why wrong: Adding nodes increases throughput but doesn't reduce contention; contention is a locking issue.
- C
Use client-side retry with exponential backoff and jitter
Why wrong: Retry helps but doesn't address root cause; contention remains.
- D
Change the transaction isolation level to READ UNCOMMITTED
Why wrong: Spanner does not support READ UNCOMMITTED; it uses strong serializable isolation.
Google PCA Manage implementation of cloud architecture Practice Question
This PCA practice question tests your understanding of manage implementation of cloud architecture. 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 global e-commerce platform uses Spanner for its transactional database. They observe that some transactions are aborted with 'ABORTED' status due to contention. The application retries immediately, but throughput degrades. What design change should they implement to reduce contention?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"immediately / without restart"Why it matters: Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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
Redesign the schema to use a separate table for frequently updated rows and batch updates using a single transaction
Option A is correct because Spanner contention arises when multiple transactions try to update the same row concurrently, causing aborts. By redesigning the schema to use a separate table for frequently updated rows and batching updates into a single transaction, you reduce the number of overlapping locks on hot rows. This minimizes lock conflicts and aborts, improving throughput without changing Spanner's underlying TrueTime-based concurrency control.
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.
- ✓
Redesign the schema to use a separate table for frequently updated rows and batch updates using a single transaction
Why this is correct
Isolating hot rows reduces lock conflicts; batching updates into a single transaction reduces lock hold time.
Clue confirmation
The clue word "immediately / without restart" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the number of nodes in the Spanner instance
Why it's wrong here
Adding nodes increases throughput but doesn't reduce contention; contention is a locking issue.
- ✗
Use client-side retry with exponential backoff and jitter
Why it's wrong here
Retry helps but doesn't address root cause; contention remains.
- ✗
Change the transaction isolation level to READ UNCOMMITTED
Why it's wrong here
Spanner does not support READ UNCOMMITTED; it uses strong serializable isolation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse horizontal scaling (adding nodes) with solving lock contention, but Spanner's contention is a concurrency control issue, not a capacity issue, so scaling out does not reduce row-level lock conflicts.
Detailed technical explanation
How to think about this question
Spanner uses TrueTime to enforce external consistency and strict two-phase locking (2PL) for writes, meaning any concurrent write to the same row causes one transaction to abort. Batching updates into a single transaction reduces the number of lock acquisitions per row, and using a separate table for hot rows isolates contention to a smaller dataset, allowing the main table to operate with fewer conflicts. In practice, this pattern is similar to 'sharding hot rows' or using a 'pending updates' table that is periodically merged.
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.
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FAQ
Questions learners often ask
What does this PCA question test?
Manage implementation of cloud architecture — This question tests Manage implementation of cloud architecture — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Redesign the schema to use a separate table for frequently updated rows and batch updates using a single transaction — Option A is correct because Spanner contention arises when multiple transactions try to update the same row concurrently, causing aborts. By redesigning the schema to use a separate table for frequently updated rows and batching updates into a single transaction, you reduce the number of overlapping locks on hot rows. This minimizes lock conflicts and aborts, improving throughput without changing Spanner's underlying TrueTime-based concurrency control.
What should I do if I get this PCA 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: "immediately / without restart". Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 2026
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