Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
This Generative AI Leader practice question tests your understanding of business strategies for generative ai solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 deployed a large language model on Vertex AI using the configuration shown in the exhibit. During peak usage, users report high latency. Which change is most likely to improve latency?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase minReplicaCount to 3.
Increasing minReplicaCount to 3 ensures that at least three instances of the model are always running and ready to serve requests. This reduces cold-start latency and distributes the load across multiple replicas, directly addressing high latency during peak usage by providing more concurrent serving capacity.
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.
✗
Remove the accelerator to simplify deployment.
Why it's wrong here
Removing the GPU would make inference much slower.
✓
Increase minReplicaCount to 3.
Why this is correct
More replicas ready at all times reduces cold-start and scaling latency.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Switch to a GPU with more memory, such as NVIDIA_TESLA_A100.
Why it's wrong here
GPU memory may not be the bottleneck; the T4 is sufficient for many models.
✗
Change machineType to n1-standard-4 to reduce cost.
Why it's wrong here
A less powerful machine will likely increase latency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that upgrading hardware (GPU memory or type) is the primary fix for latency, when in fact scaling out replicas is the more direct solution for handling concurrent request load.
Detailed technical explanation
How to think about this question
Vertex AI Prediction uses autoscaling based on CPU utilization or request count; with minReplicaCount set too low, the service may not scale up quickly enough during traffic spikes, causing requests to queue. Increasing minReplicaCount pre-provisions instances, reducing the time spent on cold starts and allowing the load balancer to distribute requests immediately. In practice, this is often combined with setting maxReplicaCount to a higher value to handle bursts without over-provisioning.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
What does this Generative AI Leader question test?
Business Strategies for Generative AI Solutions — This question tests Business Strategies for Generative AI Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase minReplicaCount to 3. — Increasing minReplicaCount to 3 ensures that at least three instances of the model are always running and ready to serve requests. This reduces cold-start latency and distributes the load across multiple replicas, directly addressing high latency during peak usage by providing more concurrent serving capacity.
What should I do if I get this Generative AI Leader 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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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