PDF Version DemoEC-COUNCIL CAIPM Exam Overview:
| Certification Vendor: | EC-Council |
|---|---|
| Exam Name: | Certified AI Program Manager |
| Exam Number: | CAIPM |
| Passing Score: | 70% |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 120 minutes |
| Exam Price: | $400 |
| Available Languages: | English |
| Related Certifications: | CISO CEH CND |
| Real Exam Qty: | 100 |
| Exam Format: | Multiple Choice |
| Sample Questions: | EC-COUNCIL CAIPM Sample Questions |
| Exam Way: | Online Proctored Exam |
| Pre Condition: | Basic knowledge of project management principles; prior project management experience recommended but not required |
| Official Syllabus URL: | https://www.eccouncil.org/certified-ai-program-manager/ |
EC-COUNCIL CAIPM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Fundamentals and Strategy | 15% | - AI Business Strategy Alignment - AI Concepts and Terminology - AI Ethics and Governance Frameworks |
| Topic 2: AI Program Evaluation and Optimization | 10% | - KPI and Success Metrics - Continuous Improvement - Performance Measurement |
| Topic 3: AI Team Leadership and Management | 20% | - Cross-functional Collaboration - Talent Management and Development - Building AI Teams - Conflict Resolution in AI Projects |
| Topic 4: AI Program Planning | 20% | - Stakeholder Identification and Analysis - Resource Planning and Budgeting - AI Project Scoping and Feasibility Analysis - Requirements Gathering for AI Projects |
| Topic 5: Risk Management and Compliance | 10% | - Security Considerations for AI - AI Risk Identification and Assessment - Regulatory Compliance (GDPR, CCPA) |
| Topic 6: AI Project Lifecycle Management | 25% | - Model Development and Testing - Data Preparation and Management - Monitoring and Maintenance - AI Development Methodology (CRISP-DM, Agile) - Deployment and Operations (MLOps) |
EC-COUNCIL Certified AI Program Manager (CAIPM) Sample Questions:
Question 1
Apex Solutions Group conducts a gap analysis to compare its current AI readiness with a defined target state across multiple readiness dimensions. The analysis shows the following quantified gaps: Workforce readiness, Data readiness, Strategic readiness, and Technology readiness. Leadership wants to sequence improvement initiatives so that investments are directed toward the area requiring the greatest effort to reach the desired state.
Based on the gap prioritization results, which readiness dimension should be addressed first?
A. Workforce readiness
B. Technology readiness
C. Strategic readiness
D. Data readiness
Question 2
Everstone Logistics has progressed beyond isolated AI experimentation and is now running several initiatives that extend past pilot phases. These efforts follow a consistent strategic direction and are selectively expanded where early results justify further investment. However, Olivia Grant, the Director of Enterprise Analytics, notes that while specific projects are successful, AI adoption is not yet uniform across the enterprise, and systematic measurement is not applied broadly. Based on this mix of consistent direction but uneven scaling, which AI maturity stage best reflects Everstone Logistics' current state?
A. Managed
B. Defined
C. Initial
D. Repeatable
Question 3
As the Director of Operations for a globally distributed enterprise, you are addressing a recurring challenge where innovation efforts stall due to fragmented institutional knowledge. Regional teams initiate new research initiatives without awareness that similar work was completed elsewhere in the organization years earlier.
Leadership wants to reduce duplicated effort by leveraging AI to continuously analyze unstructured internal content such as reports, project artifacts, and documentation, and surface relevant prior work along with the individuals who produced it. The objective is to enable future teams to build on existing knowledge rather than restarting from scratch, supporting long-term innovation efficiency. Which AI collaboration capability best supports this future-oriented objective of reconnecting teams with prior organizational knowledge and expertise?
A. Communication enhancement
B. Knowledge discovery
C. Intelligent meeting assistants
D. Workflow automation
Question 4
An organization has moved beyond early AI pilots and is now supporting AI use across several business teams. Initially, every AI request required centralized approval and extensive manual oversight, which limited scale. As adoption increased, the organization introduced differentiated approval paths based on use-case risk, allowed teams to independently use a predefined set of commonly accepted AI tools, and reduced manual review for lower-risk applications while retaining additional oversight for more sensitive use cases. Although governance is still actively involved, controls are no longer applied uniformly to every request. Based on the governance characteristics, which stage of AI governance maturity best reflects the organization's current approach?
A. Growth Stage - Balanced Controls
B. Early Stage - Manual Review Processes
C. Early Stage - Restrictive Controls
D. Mature Stage - Enabling Guardrails
Question 5
An enterprise planning capability relies on an AI system that has remained within approved performance thresholds over multiple review cycles. At the same time, periodic business analyses indicate that market conditions influencing the input data are evolving incrementally rather than abruptly. Operational teams confirm that governance controls, validation steps, and promotion gates are already in place for updating models when required. As part of ongoing lifecycle oversight, the AI Operations Manager must determine how to respond to these emerging signals without initiating unnecessary disruption to the production environment. Which approach should be taken?
A. Regular health checks
B. Model refresh and incremental updates
C. Scheduled retraining cycles
D. Retraining based on drift
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: B |
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