Final Exam :Generative AI: Revolutionizing Business Analysis Techniques (IBM Business Analyst Professional Certificate) Answers 2025

Question 1

How can AI-powered requirements gathering improve stakeholder-specific communications?

❌ By reducing the time needed to research, draft, and review communications
❌ By ensuring all stakeholders use the same templates, tools, and resources
✅ By automating the creation of tailored communications for different stakeholders
❌ By standardizing different communications to ensure consistency across the board

Explanation:
AI can adapt tone, depth, and focus for each stakeholder group, enabling personalized communication at scale.

Question 2

What is a key benefit of integrating AI with traditional business analysis tools?

❌ It automates all decision-making processes
❌ It greatly reduces the need for data analysis tasks
✅ It improves efficiency by automating repetitive tasks
❌ It replaces standard business analysis tools

Explanation:
AI enhances productivity by automating routine work, not by replacing human judgment or tools.

Question 3

How does integrating AI into process mapping tools support efficient workflows?

✅ It transforms process descriptions into structured diagrams that analysts can validate and refine
❌ It applies one standard format to all documentation
❌ It removes the need for diagramming tools
❌ It captures decisions without review

Explanation:
AI assists by structuring and visualizing processes, while analysts validate and improve them.

Question 4

How does Caleb’s AI use support improved process workflows?

❌ It applies one standard structure to all processes
✅ He uses AI to identify inefficiencies, recommend changes, and generate implementation plans based on real data
❌ It replaces tools with generic templates
❌ AI eliminates stakeholder involvement

Explanation:
AI strengthens analysis by identifying inefficiencies and supporting data-driven recommendations.

Question 5

What does Riya’s approach demonstrate about AI in BA workflows?

❌ It enforces a uniform structure across projects
❌ It narrows the scope of analysis
❌ It replaces BA tools entirely
✅ It enhances decision-making by making data exploration faster and insights more accessible

Explanation:
AI accelerates insight generation and improves decision quality.

Question 6

How does AI support clarity and impact in Tariq’s visualizations?

✅ It improves communication by guiding clearer visual formatting and contextual design choices
❌ It replaces visuals with illustrations
❌ It limits displays to one or two charts
❌ It converts visuals into written memos

Explanation:
AI helps optimize chart selection, color, and annotations for clarity.

Question 7

How can Maya use prompting to create effective stakeholder communication?

❌ Generate lengthy explanations for all stakeholders
❌ Compile technical terms equally for all groups
✅ Provide stakeholder profiles and communication goals to guide AI responses
❌ Create one message and translate it

Explanation:
Effective prompts include audience context and communication intent.

Question 8

How can analysts effectively integrate generative AI with BA tools?

✅ Identify manual tasks for AI, integrate in stages, and tailor prompts per tool
❌ Let AI generate deliverables without review
❌ Replace all tools immediately
❌ Use AI only for final documentation

Explanation:
Successful integration is gradual, task-focused, and human-guided.

Question 9

How can Jordan use AI to create executive-level presentations?

❌ Automate formatting only
❌ Let AI independently interpret strategy
❌ Generate lengthy, detailed reports
✅ Extract key findings, create concise summaries, and design visuals aligned to business impact

Explanation:
Executives need focused insights and strategic relevance, which AI can help craft.

Question 10

What is the most effective way to divide responsibilities in a hybrid workflow?

❌ Divide tasks equally
❌ Let AI manage the workflow independently
❌ Humans define objectives while AI handles everything else
✅ Have AI generate early drafts while humans gather input, validate outputs, and shape final deliverables

Explanation:
Hybrid success comes from AI efficiency + human judgment and validation.

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