- A
Number of follow-up questions asked per session
Why wrong: Engagement depth is not adoption breadth.
- B
User satisfaction score from surveys
Why wrong: Satisfaction measures quality, not adoption.
- C
Average response time of the assistant
Why wrong: Response time measures performance, not adoption.
- D
Number of unique users per week divided by total employees
This calculates adoption rate.
Question 513 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 runs a pilot for a GenAI-powered internal knowledge base assistant. They want to measure adoption. Which metric is BEST for this purpose?
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
✓
Number of unique users per week divided by total employees
Option D is the best metric for measuring adoption because it directly captures the breadth of usage across the organization. Adoption is defined as the proportion of the target user base that actively uses the system, and dividing unique weekly users by total employees provides a clear percentage of uptake, which is the standard measure for adoption in enterprise GenAI deployments.
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.
- ✗
Number of follow-up questions asked per session
Why it's wrong here
Engagement depth is not adoption breadth.
- ✗
User satisfaction score from surveys
Why it's wrong here
Satisfaction measures quality, not adoption.
- ✗
Average response time of the assistant
Why it's wrong here
Response time measures performance, not adoption.
- ✓
Number of unique users per week divided by total employees
Why this is correct
This calculates adoption rate.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse adoption with engagement or satisfaction, picking metrics like follow-up questions or survey scores, but Cisco specifically tests that adoption is about the proportion of the target population using the system, not how deeply or happily they use it.
Detailed technical explanation
How to think about this question
Adoption metrics in enterprise GenAI systems often rely on telemetry from authentication logs and API call records to count unique user IDs per time window. A common subtlety is that 'unique users per week' must be deduplicated across sessions and devices, typically using a hashed employee identifier, to avoid inflating counts from multiple logins. In practice, a pilot with 80% weekly adoption (e.g., 800 of 1000 employees) indicates strong organizational buy-in, whereas a low adoption rate despite high satisfaction signals a need for change management or better onboarding.
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.
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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: Number of unique users per week divided by total employees — Option D is the best metric for measuring adoption because it directly captures the breadth of usage across the organization. Adoption is defined as the proportion of the target user base that actively uses the system, and dividing unique weekly users by total employees provides a clear percentage of uptake, which is the standard measure for adoption in enterprise GenAI deployments.
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.
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 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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