- A
Adoption rate of the GenAI feature among the pilot group
Why wrong: Adoption shows usage but not whether it saves time; users could use it but not necessarily faster.
- B
Increase in employee satisfaction survey scores
Why wrong: While valuable, satisfaction is an indirect measure of productivity and may not capture actual time savings.
- C
Reduction in average time-to-send per email
This directly measures the productivity improvement (time saved) when drafting emails.
- D
Reduction in total tokens consumed per email
Why wrong: Token consumption is a cost metric, not a productivity metric.
Question 575 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 piloting a GenAI feature for email drafting in Gmail. They want to measure productivity improvement. Which metric is MOST directly tied to the business goal of reducing time spent on email composition?
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
✓
Reduction in average time-to-send per email
Option C is correct because the primary business goal is to reduce the time employees spend composing emails. Measuring the average time-to-send per email directly quantifies this efficiency gain, as it captures the end-to-end duration from initiation to dispatch, which the GenAI feature aims to shorten by generating draft content.
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.
- ✗
Adoption rate of the GenAI feature among the pilot group
Why it's wrong here
Adoption shows usage but not whether it saves time; users could use it but not necessarily faster.
- ✗
Increase in employee satisfaction survey scores
Why it's wrong here
While valuable, satisfaction is an indirect measure of productivity and may not capture actual time savings.
- ✓
Reduction in average time-to-send per email
Why this is correct
This directly measures the productivity improvement (time saved) when drafting emails.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Reduction in total tokens consumed per email
Why it's wrong here
Token consumption is a cost metric, not a productivity metric.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google often tests the distinction between proxy metrics (like token consumption or adoption) and direct business outcome metrics, so the trap here is that candidates confuse technical efficiency (fewer tokens) with user productivity (time saved).
Trap categories for this question
Command / output trap
Adoption shows usage but not whether it saves time; users could use it but not necessarily faster.
Detailed technical explanation
How to think about this question
Under the hood, the time-to-send metric can be instrumented via client-side telemetry that records the timestamp when the compose window opens and the timestamp when the user clicks 'Send', subtracting any idle periods. In a real-world scenario, a pilot might show a 30% reduction in average time-to-send, but if the model introduces high latency (e.g., >2 seconds per generation), the net time savings could be negated, making it critical to measure end-to-end time rather than just generation speed.
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: Reduction in average time-to-send per email — Option C is correct because the primary business goal is to reduce the time employees spend composing emails. Measuring the average time-to-send per email directly quantifies this efficiency gain, as it captures the end-to-end duration from initiation to dispatch, which the GenAI feature aims to shorten by generating draft content.
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
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