- A
Total token consumption
Why wrong: Token consumption measures cost, not productivity.
- B
Average handling time per ticket
Reduction in handling time directly indicates productivity improvement.
- C
Ticket deflection rate
Why wrong: Deflection rate measures how many issues are resolved without agent involvement, which is a different metric.
- D
Customer satisfaction score (CSAT)
Why wrong: CSAT measures quality, not productivity.
Question 370 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. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 wants to evaluate the ROI of deploying a GenAI tool for customer support. They plan to measure productivity gains. Which metric is most directly tied to productivity improvement?
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
✓
Average handling time per ticket
Average handling time (AHT) per ticket is the most direct metric for productivity improvement because it quantifies the time an agent spends resolving a customer issue. A GenAI tool that generates response drafts or retrieves knowledge base articles reduces the agent's wrap-up and research time, directly lowering AHT. This is a standard contact center metric (e.g., measured in seconds or minutes) that maps to cost savings and throughput gains.
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.
- ✗
Total token consumption
Why it's wrong here
Token consumption measures cost, not productivity.
- ✓
Average handling time per ticket
Why this is correct
Reduction in handling time directly indicates productivity improvement.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Ticket deflection rate
Why it's wrong here
Deflection rate measures how many issues are resolved without agent involvement, which is a different metric.
- ✗
Customer satisfaction score (CSAT)
Why it's wrong here
CSAT measures quality, not productivity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between efficiency metrics (like AHT) and effectiveness or automation metrics (like deflection or CSAT), trapping candidates who confuse 'productivity' with 'customer satisfaction' or 'automation rate'.
Detailed technical explanation
How to think about this question
In practice, AHT is calculated as (total talk time + total hold time + total after-call work time) divided by the number of handled tickets. A GenAI assistant can reduce after-call work time by auto-summarizing the interaction and populating CRM fields, which directly lowers AHT. However, a subtle behavior is that if the GenAI tool introduces latency (e.g., 2–3 seconds per suggestion), it may offset gains, so real-world ROI analysis must measure end-to-end AHT including system response time.
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.
Visual reference
What to study next
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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: Average handling time per ticket — Average handling time (AHT) per ticket is the most direct metric for productivity improvement because it quantifies the time an agent spends resolving a customer issue. A GenAI tool that generates response drafts or retrieves knowledge base articles reduces the agent's wrap-up and research time, directly lowering AHT. This is a standard contact center metric (e.g., measured in seconds or minutes) that maps to cost savings and throughput gains.
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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