Graded Quiz: Implementing AI in Business Analysis Workflows :Generative AI: Revolutionizing Business Analysis Techniques (IBM Business Analyst Professional Certificate) Answers 2025

Question 1

Which generative AI capability should Maria use to tailor the same update for different stakeholders?

❌ Technical translation
❌ Consistency management
✅ Audience-specific content generation
❌ Communication format optimization

Explanation:
Audience-specific content generation allows AI to adapt tone, detail, and language for executives, technical teams, and end users while keeping the core message consistent.

Question 2

Which AI capability helps transform technical information into business-friendly language?

❌ Audience-specific content generation
✅ Technical translation
❌ Communication format optimization
❌ Consistency management

Explanation:
Technical translation focuses on bridging the gap between technical and business language.

Question 3

Which AI capability helps create executive-ready visuals from complex analysis?

❌ Business impact framing
❌ Executive summary creation
✅ Data visualization for executives
❌ Strategic alignment emphasis

Explanation:
This capability converts complex data into clear, high-level visual insights suitable for executives.

Question 4

Which AI capability should Raul use to summarize a technical report concisely for leaders?

❌ Business impact framing
❌ Strategic alignment emphasis
❌ Data visualization for executives
✅ Executive summary creation

Explanation:
Executive summary creation distills detailed content into brief, high-impact summaries.

Question 5

Which AI integration helps streamline user stories and acceptance criteria creation?

✅ Integrating AI with requirements management tools
❌ Integrating AI with process modeling tools
❌ Integrating AI with data analysis tools
❌ Integrating AI with documentation platforms

Explanation:
Requirements management tools benefit most when AI auto-generates and structures user stories and acceptance criteria.

Question 6

Which AI integration best enhances process modeling and optimization?

❌ Integrating AI with data analysis tools
✅ Integrating AI with process modeling tools
❌ Integrating AI with requirements management tools
❌ Integrating AI with documentation platforms

Explanation:
AI + process modeling tools helps create accurate models and identify optimization opportunities.

Question 7

Which pattern divides work into clear phases for human–AI collaboration?

❌ Iterative enhancement pattern
❌ Sequential processing pattern
✅ Preparation–generation–refinement pattern
❌ Parallel processing pattern

Explanation:
This pattern structures work into setup, AI generation, and human refinement phases.

Question 8

Which pattern blends human and AI contributions simultaneously for risk analysis?

❌ Sequential processing pattern
✅ Parallel processing pattern
❌ Iterative enhancement pattern
❌ Preparation–generation–refinement pattern

Explanation:
Parallel processing allows humans and AI to work at the same time, then combine results.

Question 9

Which pattern supports progressive improvement through repeated human–AI exchanges?

✅ Iterative enhancement pattern
❌ Sequential processing pattern
❌ Parallel processing pattern
❌ Preparation–generation–refinement pattern

Explanation:
Iterative enhancement improves outputs through continuous refinement cycles.

Question 10

What is the best approach to successfully implement hybrid workflows?

✅ Start small, document and standardize, train and support
❌ Implement all at once and rely on trial and error
❌ Focus only on AI capabilities and reduce oversight
❌ Use consultants, prioritize speed, minimize training

Explanation:
Gradual rollout with documentation, standardization, and training ensures sustainable adoption.

🧾 Summary Table