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GENERATIVE AI LEADER CERTIFICATION
EXAM STUDY GUIDE (GENERATIVE ARTIFICIAL
INTELLIGENCE LEADER CERTIFICATION) 2026
QUESTIONS AND ANSWERS| ACE YOUR
GRADES.
1. What's your budget? - correct answer -Money
2. What are your project timelines? - correct answer -Time
3. Combine a top-down approach (leadership setting the vision
and strategy) with a bottom-up approach (employees
identifying practical applications and providing feedback). -
correct answer -Gen AI strategy
4. Choose a generative AI model whose input and output data
types (modality) align with your application's specific needs,
whether it's text, images, audio, or video. - correct answer -
Modality
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5. A model's accuracy, speed, and efficiency are critical factors.
Consider the trade-offs between performance and cost. -
correct answer -Performance
6. Choose a model that is consistently available and performs
reliably under load. Consider factors like uptime guarantees,
redundancy, and disaster recovery mechanisms. - correct
answer -Availability and reliability
7. Prioritize focused gen AI implementations with clear business
value. - correct answer -Strategic focus
8. Encourage experimentation and collaboration to discover
valuable gen AI applications. - correct answer -Exploration
9. Establish ethical guidelines and ensure secure and responsible
AI development. - correct answer -Responsible AI
10. Invest in data strategy, leverage existing resources, and
develop AI talent. - correct answer -Resourcing
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11. Measure gen AI's impact on business goals and
demonstrate tangible benefits. - correct answer -Impact
12. Continuously refine gen AI solutions based on feedback and
data. - correct answer -Continuous improvement
13. Responsible AI: Ensuring your AI applications don't cause
harm and are used in an ethical manner. - correct answer -AI
Principles
14. To plan for your gen AI strategy, establish a clear vision,
prioritize use cases, invest in capabilities, manage change,
measure value, and champion responsible AI. - correct answer
-Clear vision
15. Responsible AI needs to be considered throughout the entire
AI lifecycle, from data preparation and model training to
deployment and ongoing monitoring. - correct answer -AI
lifecycle
GENERATIVE AI LEADER CERTIFICATION
EXAM STUDY GUIDE (GENERATIVE ARTIFICIAL
INTELLIGENCE LEADER CERTIFICATION) 2026
QUESTIONS AND ANSWERS| ACE YOUR
GRADES.
1. What's your budget? - correct answer -Money
2. What are your project timelines? - correct answer -Time
3. Combine a top-down approach (leadership setting the vision
and strategy) with a bottom-up approach (employees
identifying practical applications and providing feedback). -
correct answer -Gen AI strategy
4. Choose a generative AI model whose input and output data
types (modality) align with your application's specific needs,
whether it's text, images, audio, or video. - correct answer -
Modality
, Page | 2
5. A model's accuracy, speed, and efficiency are critical factors.
Consider the trade-offs between performance and cost. -
correct answer -Performance
6. Choose a model that is consistently available and performs
reliably under load. Consider factors like uptime guarantees,
redundancy, and disaster recovery mechanisms. - correct
answer -Availability and reliability
7. Prioritize focused gen AI implementations with clear business
value. - correct answer -Strategic focus
8. Encourage experimentation and collaboration to discover
valuable gen AI applications. - correct answer -Exploration
9. Establish ethical guidelines and ensure secure and responsible
AI development. - correct answer -Responsible AI
10. Invest in data strategy, leverage existing resources, and
develop AI talent. - correct answer -Resourcing
, Page | 3
11. Measure gen AI's impact on business goals and
demonstrate tangible benefits. - correct answer -Impact
12. Continuously refine gen AI solutions based on feedback and
data. - correct answer -Continuous improvement
13. Responsible AI: Ensuring your AI applications don't cause
harm and are used in an ethical manner. - correct answer -AI
Principles
14. To plan for your gen AI strategy, establish a clear vision,
prioritize use cases, invest in capabilities, manage change,
measure value, and champion responsible AI. - correct answer
-Clear vision
15. Responsible AI needs to be considered throughout the entire
AI lifecycle, from data preparation and model training to
deployment and ongoing monitoring. - correct answer -AI
lifecycle
