- A
Error rate (e.g., factual errors in summaries)
Reducing errors improves trust and saves correction time.
- B
Number of employees trained on the system
Why wrong: Training count does not measure business value.
- C
Number of active users per month
Why wrong: Active users indicate adoption but not direct ROI.
- D
Accuracy score of generated summaries compared to human-written ones
Quality improvement is essential for ROI justification.
- E
Time saved per report (minutes)
Reduction in manual effort is a key productivity metric.
Question 643 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 using Vertex AI to generate report summaries. They want to measure ROI. Which three metrics should they track? (Choose THREE)
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
✓
Error rate (e.g., factual errors in summaries)
Option A is correct because error rate directly measures the quality and reliability of generated summaries, which is a key factor in determining ROI. If summaries contain factual errors, they require human correction, reducing the time savings and potentially introducing business risks. Tracking error rate helps quantify the cost of inaccuracies against the benefits of automation.
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.
- ✓
Error rate (e.g., factual errors in summaries)
Why this is correct
Reducing errors improves trust and saves correction time.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Number of employees trained on the system
Why it's wrong here
Training count does not measure business value.
- ✗
Number of active users per month
Why it's wrong here
Active users indicate adoption but not direct ROI.
- ✓
Accuracy score of generated summaries compared to human-written ones
Why this is correct
Quality improvement is essential for ROI justification.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Time saved per report (minutes)
Why this is correct
Reduction in manual effort is a key productivity metric.
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 metrics (active users, training count) with ROI metrics, but ROI for Vertex AI requires direct financial or efficiency quantification, not just usage statistics.
Detailed technical explanation
How to think about this question
Under the hood, ROI for generative AI systems like Vertex AI is typically calculated as (Net Benefit / Cost) * 100%, where Net Benefit includes quantifiable gains such as time saved (minutes per report) multiplied by labor cost per minute, plus quality improvements measured by accuracy scores and error rate reductions. In practice, companies often use A/B testing between human-written and AI-generated summaries to compute accuracy scores, while error rates are tracked via automated fact-checking pipelines or human-in-the-loop validation. A real-world scenario might involve a financial services firm where a 1% error rate in summaries could lead to significant compliance costs, making error rate a critical ROI metric.
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.
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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: Error rate (e.g., factual errors in summaries) — Option A is correct because error rate directly measures the quality and reliability of generated summaries, which is a key factor in determining ROI. If summaries contain factual errors, they require human correction, reducing the time savings and potentially introducing business risks. Tracking error rate helps quantify the cost of inaccuracies against the benefits of automation.
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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