- A
noeviction
Why wrong: Returns errors on writes once memory full, likely causing application failures.
- B
volatile-ttl
Evicts only keys with TTL set (cache), leaving session data (no TTL) intact.
- C
allkeys-lru
Why wrong: This evicts any key (including sessions) based on LRU, which could cause session loss.
- D
allkeys-random
Why wrong: Random eviction could remove session data and is not efficient for cache.
Question 144 of 1,000
PCDOE Manage Database Solutions Practice Question
This PCDOE practice question tests your understanding of manage database solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 Memorystore for Redis instance is running out of memory. The application uses a mix of cache and session data. Which eviction policy should be chosen to minimize cache misses while ensuring session data is not evicted?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
✓
volatile-ttl
The volatile-ttl policy evicts keys with a TTL set, prioritizing those with the shortest remaining TTL. Since session data typically has a TTL and cache data may or may not, this policy allows you to protect session data by assigning it a longer TTL, while cache data with shorter TTLs is evicted first, minimizing cache misses.
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.
- ✗
noeviction
Why it's wrong here
Returns errors on writes once memory full, likely causing application failures.
- ✓
volatile-ttl
Why this is correct
Evicts only keys with TTL set (cache), leaving session data (no TTL) intact.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
allkeys-lru
Why it's wrong here
This evicts any key (including sessions) based on LRU, which could cause session loss.
- ✗
allkeys-random
Why it's wrong here
Random eviction could remove session data and is not efficient for cache.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that allkeys-lru is always the best for cache performance, but here the requirement to protect session data makes volatile-ttl the correct choice because it only evicts keys with TTLs, allowing session data to be preserved by setting a longer TTL.
Detailed technical explanation
How to think about this question
Redis eviction policies are configured via the `maxmemory-policy` directive in redis.conf or at runtime with `CONFIG SET`. The volatile-ttl policy approximates the key with the shortest TTL by sampling a subset of keys (default sample size is 5, controlled by `maxmemory-samples`) to avoid scanning the entire keyspace, which balances performance and eviction accuracy. In practice, session data should be assigned a TTL (e.g., via `EXPIRE` or `SETEX`) that is longer than cache data to ensure it is evicted last under volatile-ttl.
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
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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: volatile-ttl — The volatile-ttl policy evicts keys with a TTL set, prioritizing those with the shortest remaining TTL. Since session data typically has a TTL and cache data may or may not, this policy allows you to protect session data by assigning it a longer TTL, while cache data with shorter TTLs is evicted first, minimizing cache misses.
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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
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