Try PMI : CPMAI practice torrent pass for sure
Updated: Sep 23, 2026
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PMI CPMAI Exam Overview:
| Certification Vendor: | Project Management Institute (PMI) |
|---|---|
| Exam Name: | PMI Cognitive Project Management in AI (PMI-CPMAI) Certification Exam |
| Exam Number: | PMI-CPMAI |
| Exam Format: | Application-focused, Multiple-choice, Scenario-based |
| Exam Price: | USD 699 (PMI Member), USD 899 (Non-Member) |
| Certificate Validity Period: | Valid indefinitely; requires 30 PDUs every 3 years for maintenance |
| Exam Duration: | 160 minutes |
| Real Exam Qty: | 120 (100 scored, 20 unscored pretest) |
| Passing Score: | Pass/Fail; no fixed numerical score published |
| Related Certifications: | PMI-ACP® PMP® PMI-SP® PMI-RMP® |
| Available Languages: | English |
| Recommended Training: | PMI-CPMAI Exam Prep Course |
| Exam Registration: | Pearson VUE Scheduling PMI Official Registration |
| Sample Questions: | PMI CPMAI Sample Questions |
| Exam Way: | Computer-based test (CBT) at Pearson VUE test center or online proctored |
| Pre Condition: | Completion of official PMI-CPMAI Exam Prep Course required; no prior experience or other certifications mandatory |
| Official Syllabus URL: | https://www.pmi.org/certifications/ai-project-management-cpmai |
PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability - Establish ethical and governance frameworks |
| Identify Business Needs and Solutions | 26% | - Evaluate feasibility and value of AI solutions - Align AI initiatives with organizational strategy - Define requirements, scope, and success criteria |
| Manage AI Model Development and Evaluation | 16% | - Address model drift, explainability, and limitations - Oversee model design, training, and validation - Monitor performance, accuracy, and reliability |
| Identify Data Needs | 26% | - Plan data collection, storage, and infrastructure - Define data requirements and sources - Ensure data quality, privacy, security, and compliance |
| Operationalize AI Solution | 17% | - Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch - Deploy AI systems into production |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?
- A. Multiclass Classification
- B. Binary (or Binomial) Classification
- C. Clustering
- D. Regression
Correct Answer: B 🗳️
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An organization is planning to use AI for real-time auctions and bidding. Which AI capability should be implemented to meet the organization's objectives?
- A. Recognition systems
- B. Goal-driven systems
- C. Autonomous systems
- D. Predictive analytics
Correct Answer: C 🗳️
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A healthcare organization plans to use an AI solution to predict patient readmissions. The data science team needs to identify data sources and ensure data quality. Which method will meet the project team's objectives?
- A. Using data profiling tools to assess data completeness
- B. Operationalizing a data catalog to maintain metadata standards
- C. Setting up a continuous integration pipeline for real-time data validation
- D. Implementing data augmentation techniques to fill missing values
Correct Answer: B 🗳️
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Your organization wants to keep an eye on AI systems for Governance purposes. What are the most crucial things to consider? (Choose all that apply.)
- A. Data source identification
- B. Key Performance Indicators (KPIs)
- C. Vendor procurement methods
- D. Algorithm selection
- E. AI System testing requirements
- F. Continuous System monitoring
- G. Human chain of accountability
- H. ROI determination
Correct Answer: B,E,F,G 🗳️
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A financial institution is implementing a new AI system for fraud detection. The project team must ensure the data meets the needs of the AI solution by verifying data quality, completeness, and relevance. They have access to various internal and external data sources. Which method addresses the project team's objectives?
- A. Using pretrained models without tailoring to specific data
- B. Limiting the data sources to internal databases to avoid complications
- C. Conducting a comprehensive data audit and cleansing process
- D. Integrating data without improvement checks to expedite the project timeline
Correct Answer: C 🗳️
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