- A
Implement caching for common or repetitive queries
Caching reduces latency and cost for frequent requests.
- B
Set up A/B testing to compare model versions and prompt strategies
A/B testing allows data-driven decisions on model version and prompt effectiveness.
- C
Select a smaller, more efficient model variant if accuracy is acceptable
Smaller models reduce latency and cost, suitable for production scaling.
- D
Deploy a single model endpoint without A/B testing to simplify architecture
Why wrong: A/B testing is recommended to validate performance before full rollout.
- E
Fine-tune the model on the entire dataset for better performance
Why wrong: Fine-tuning adds cost and time; may not be necessary if prompt engineering and RAG suffice.
Question 135 of 997
Generative AI Leader Applying Generative AI in Business Practice Question
This Generative AI Leader practice question tests your understanding of applying generative ai in business. 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 company is moving a GenAI proof-of-concept to production. The pilot showed promising results, but the production environment must handle higher traffic, ensure low latency, and manage costs. Which THREE actions should they take?
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
✓
Implement caching for common or repetitive queries
A/B testing helps compare versions. Choosing a smaller model balances cost and latency. Caching reduces repeated work. Fine-tuning is expensive and not necessary. A single endpoint without testing is risky.
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.
- ✓
Implement caching for common or repetitive queries
Why this is correct
Caching reduces latency and cost for frequent requests.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Set up A/B testing to compare model versions and prompt strategies
Why this is correct
A/B testing allows data-driven decisions on model version and prompt effectiveness.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Select a smaller, more efficient model variant if accuracy is acceptable
Why this is correct
Smaller models reduce latency and cost, suitable for production scaling.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Deploy a single model endpoint without A/B testing to simplify architecture
Why it's wrong here
A/B testing is recommended to validate performance before full rollout.
- ✗
Fine-tune the model on the entire dataset for better performance
Why it's wrong here
Fine-tuning adds cost and time; may not be necessary if prompt engineering and RAG suffice.
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 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 Generative AI Leader 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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Applying Generative AI in Business — study guide chapter
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Applying Generative AI in Business — This question tests Applying Generative AI in Business — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Implement caching for common or repetitive queries — A/B testing helps compare versions. Choosing a smaller model balances cost and latency. Caching reduces repeated work. Fine-tuning is expensive and not necessary. A single endpoint without testing is risky.
What should I do if I get this Generative AI Leader question wrong?
Identify which Generative AI Leader 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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
This Generative AI Leader 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 Generative AI Leader exam.
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