Cognitive Project Management in AI (PMI-CPMAI): CPMAI Exam Premium File as PDF & Test Engine
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PMI CPMAI Exam Overview:
| Certification Vendor: | PMI |
|---|---|
| Exam Name: | PMI Certified Professional in Managing AI (PMI-CPMAI) |
| Exam Number: | PMI-CPMAI |
| Certificate Validity Period: | 3 Years (Maintenance: 30 PDUs) |
| Exam Price: | $699 (PMI Member) / $899 (Non-Member) |
| Exam Duration: | 160 minutes |
| Passing Score: | Pass/Fail (Not publicly disclosed) |
| Exam Format: | Scenario-based, Multiple Choice |
| Available Languages: | Chinese (Simplified), Japanese, Arabic, English, German, Chinese (Traditional), Brazilian Portuguese, Korean, Spanish (LATAM), French |
| Real Exam Qty: | 120 |
| Related Certifications: | PMP PMI-ACP |
| Sample Questions: | PMI CPMAI Sample Questions |
| Exam Way: | Online Proctored / Test Center |
| Pre Condition: | Training course completion required prior to exam. |
| Official Syllabus URL: | https://www.pmi.org/certifications/ai-project-management-cpmai |
PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data for AI | 13% | - DataOps concepts - Data strategy and governance - Data preparation and preprocessing |
| CPMAI Methodology | 41% | - Phase III: Algorithm Selection & Model Training
|
| Managing AI | 8% | - Managing AI project teams and resources - Risk management in AI projects - Stakeholder management |
| Machine Learning | 13% | - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks - Supervised, Unsupervised, and Reinforcement Learning |
| Trustworthy AI | 9% | - Privacy and security - Ethical considerations and bias - Transparency and explainability |
| AI Fundamentals | 16% | - Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning - AI capabilities and limitations |
PMI Cognitive Project Management in AI (PMI-CPMAI) Exam FAQs and Straight Answers
The CPMAI exam, officially titled Cognitive Project Management in AI (PMI-CPMAI), is the qualifying test for the CPMAI certification from PMI, a credential at the Intermediate level. Passing it proves you have the skills employers look for in certified professionals, and it can also support progress toward related credentials such as PMP, PMI-ACP.
The PMI Cognitive Project Management in AI (PMI-CPMAI) exam gives you 160 minutes to work through 120 questions. That is a steady pace with little room for second-guessing, so train yourself to read each question once, flag the difficult ones, and keep moving. Before exam day, sit at least two full timed sessions in the Fast2test test engine — when the clock feels familiar, it stops being a threat.
You need Pass/Fail (Not publicly disclosed) to pass, and the official registration fee is $699 (PMI Member) / $899 (Non-Member). Fall short and you pay that fee in full again for every retake, which makes solid preparation the cheaper option by far. Work through the Fast2test practice questions until you score comfortably above the passing mark, then book your seat.
Training course completion required prior to exam. Eligibility rules can change over time, so before you register, confirm the latest requirements on the official exam page: PMI CPMAI exam overview.
Yes. Fast2test offers a free PDF demo for the PMI Cognitive Project Management in AI (PMI-CPMAI) exam so you can judge the quality of our questions and answers before paying anything. Every purchase also comes with 365 days of free updates, and once that period expires you can extend your update service at a 50% discount.
Your purchase is protected by a 100% money-back guarantee. If you sit the corresponding CPMAI exam within 60 days of buying and do not pass, send us a scan of your exam enrollment slip together with your official Score Report (PDF) within 2 days of the exam date — the candidate name must match the payer's name — and we will process your full refund within 7 days. Please note that exams taken within 3 days of purchase, materials downloaded without ever sitting the exam, free products, and expired orders are not covered. If you would rather not have a refund, you can exchange your order for two exam products of equal value, free of charge, and keep the update service on your original purchase.
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The PMI Cognitive Project Management in AI (PMI-CPMAI) syllabus is organized into 6 domains. The main areas include Trustworthy AI (9%), AI Fundamentals (16%), and Machine Learning (13%). Scroll up to the Exam Topics section above for the complete, current outline before you plan your study schedule.
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
Question 1
An energy technology company needs to convey data understanding to the leadership team for an AI project aimed at predicting equipment failures. The project involves analyzing sensor data from various equipment. Which necessary initial task should the project manager take?
A. Employ a support vector machine to classify sensor data.
B. Use a generative adversarial network (GAN) to simulate equipment behavior.
C. Develop a preprocessing pipeline to clean and normalize sensor data.
D. Construct a graphical model using DALL-E to depict failure predictions.
Question 2
A logistics company is operationalizing an AI solution to optimize delivery routes. The project manager needs to gather up-to-date information on traffic patterns, delivery schedules, and vehicle performance. Which method will integrate these diverse data types?
A. Implementing a real-time data processing framework
B. Using an extraction, transformation, and loading (ETL) pipeline
C. Adopting a federated data model
D. Building a unified data warehouse
Question 3
An IT services company is working on a project to develop an AI-based customer support system.
During data preparation, the project manager needs to clean and transform customer interaction logs. What is an effective technique to handle any missing data?
A. Remove records with missing values if minimal.
B. Duplicate existing data to fill in missing gaps.
C. Fill missing values with zeros without analysis.
D. Ignore missing data if it seems insignificant.
Question 4
An organization's leadership team is concerned about the ethical implications of operationalizing their AI model. How should the project manager address these concerns in their presentation to the team?
A. Discuss the implementation of differential privacy and the algorithms used to protect data.
B. Demonstrate the use of bias detection tools to ensure fairness
C. Highlight the model's high performance metrics and low error rates.
D. Explain how the AI model complies with general data protection regulation (GDPR) and other regulations.
Question 5
A healthcare organization plans to implement an AI system to assist with patient diagnosis. The project manager needs to conduct an ethical risk assessment to ensure the AI system does not propagate bias. What is an effective method that meets the project manager's objective?
A. Ensuring diverse training datasets
B. Conducting bias audits during development
C. Using interpretable models for decision-making
D. Implementing fairness-aware algorithms
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: B |
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