Question 151 of 997
Applying Generative AI in BusinessmediumMultiple ChoiceObjective-mapped

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 evaluating the ROI of deploying a GenAI code review assistant. They want to measure productivity gains. Which metric is MOST directly tied to developer efficiency?

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

Time saved per code review

Time saved per code review (Option B) is the most direct measure of developer efficiency because it quantifies the reduction in manual review effort, which is the primary benefit of a GenAI code review assistant. Unlike indirect metrics, this directly captures the core value proposition of automating or accelerating the review process, leading to faster development cycles and reduced context switching.

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.

  • Reduction in post-release bug count

    Why it's wrong here

    Bug count reduction measures quality, not productivity.

  • Time saved per code review

    Why this is correct

    Time saved per review directly measures the productivity gain from using the GenAI assistant.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Developer satisfaction score

    Why it's wrong here

    Satisfaction is important but is a qualitative measure, not a direct productivity metric.

  • Number of lines of code reviewed

    Why it's wrong here

    Lines reviewed is a volume metric but does not capture efficiency improvement.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between efficiency (time/output) and effectiveness (quality/outcome), so candidates mistakenly choose bug reduction (quality) instead of time saved (efficiency) when the question explicitly asks for productivity gains.

Detailed technical explanation

How to think about this question

In practice, GenAI code review assistants like Amazon CodeGuru Reviewer or GitHub Copilot Code Review use large language models to suggest fixes, flag anti-patterns, and automate routine checks, directly reducing the time developers spend on manual review. The key metric is often measured as 'review cycle time' or 'time-to-merge', where a reduction directly correlates with increased developer throughput and reduced lead time for changes. Real-world deployments show that even a 20-30% reduction in review time can significantly improve sprint velocity and team capacity.

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.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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: Time saved per code review — Time saved per code review (Option B) is the most direct measure of developer efficiency because it quantifies the reduction in manual review effort, which is the primary benefit of a GenAI code review assistant. Unlike indirect metrics, this directly captures the core value proposition of automating or accelerating the review process, leading to faster development cycles and reduced context switching.

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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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.