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PMI CPMAI_v7

CPMAI_v7

Exam Code: CPMAI_v7

Exam Name: Cognitive Project Management in AI CPMAI v7 - Training & Certification Exam

Updated: Sep 01, 2026

Q&A Number: 102 Q&As

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About PMI CPMAI_v7 Exam dumps / Bootcamp

The CPMAI_v7 exam has a reputation for tripping up even experienced professionals. Dumpkiller breaks the PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification syllabus down into 102 practice questions with clear explanations, so tricky topics stop feeling intimidating.

PMI CPMAI_v7 Exam Overview:

Certification Vendor:PMI
Exam Name:Cognitive Project Management in AI (CPMAI v7) - Training & Certification Exam
Exam Number:CPMAI_v7
Related Certifications:PMI-CPMAI
Exam Duration:120 minutes
Exam Price:$699 USD
Passing Score:Pass/Fail based on psychometric analysis
Exam Format:Online-proctored testing, Computer-based testing
Available Languages:English
Real Exam Qty:100
Sample Questions: DOWNLOAD DEMO
Exam Way:Computer-based testing (CBT) via Pearson VUE testing centers or Online-Proctored Testing (OPT)
Pre Condition:Completion of PMI-CPMAI Exam Prep Course required. Foundational knowledge of AI, data analytics, or project management helpful but not required.
Official Syllabus URL:https://www.pmi.org/-/media/pmi/documents/public/pdf/certifications/cpmai-v7-exam-content-outline_2025---final.pdf

PMI CPMAI_v7 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: CPMAI Methodology41%- CPMAI Phases
  • 1. Model Evaluation Phase
  • 2. Business Understanding Phase
  • 3. Data Understanding Phase
  • 4. Model Building Phase
  • 5. Data Preparation Phase
  • 6. Model Deployment Phase
  • 7. Six Phases of CPMAI Methodology
- AI Project Teams
  • 1. AI Project Team Assembly
  • 2. Roles and Responsibilities
- Project Management Approaches
  • 1. CPMAI Frameworks for AI Initiatives
  • 2. Traditional Methodology Adaptation for Data-Centric Projects
  • 3. Lean and Agile Methodologies for AI
- AI Project Scoping
  • 1. Pilots vs Proofs of Concept
  • 2. Project Prioritization and Scoping
  • 3. AI-Specific Business Questions
  • 4. DIKUW Pyramid Application
  • 5. Seven Patterns of AI Matching
  • 6. Time-to-ROI Estimation
Topic 2: Machine Learning13%- ML Fundamentals
  • 1. Deep Learning Concepts
  • 2. Neural Networks
  • 3. Machine Learning Algorithms
- Advanced ML
  • 1. Generative AI Models
  • 2. Large Language Models (LLMs)
  • 3. Transformer Models
Topic 3: Managing AI8%- AI Project Leadership
  • 1. Organizational AI Strategy
  • 2. Automation vs AI Decision Making
  • 3. AI Initiative Management
Topic 4: Trustworthy AI9%- AI Ethics and Governance
  • 1. Responsible AI Practices
  • 2. Bias Detection and Mitigation
  • 3. Transparency and Explainability
  • 4. AI Compliance and Standards
Topic 5: Data for AI13%- Data Management
  • 1. Data Requirements for AI
  • 2. Data Quality and Preparation
  • 3. Data-Centric Project Management
- Data Strategy
  • 1. Data Collection and Annotation
  • 2. Data Governance for AI
Topic 6: AI Fundamentals16%- Generative AI
  • 1. Generative AI Applications
  • 2. Generative AI Strategies
- Core AI Concepts
  • 1. Learning Methods: Supervised, Unsupervised, Reinforcement
  • 2. Deep Learning Basics
  • 3. Machine Learning Fundamentals

What Candidates Ask About the PMI CPMAI_v7 Exam

Can you give me an overview of the CPMAI_v7 exam?

The PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification exam (code: CPMAI_v7) is the official PMI exam that leads to the CPMAI certification. It sits at the Intermediate level of the PMI certification track. It is also connected with related credentials such as PMI-CPMAI. Passing it proves to employers that your skills have been validated by PMI itself, which is why the CPMAI_v7 credential keeps showing up in job postings.

How many questions are in the CPMAI_v7 exam, and how long does it take?

The PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification exam gives you 120 minutes to work through 100. Pacing matters more than most candidates expect, so before exam day, run at least one full timed session in the Dumpkiller test engine to learn how long you can afford per question. If an item stalls you, flag it and move on — coming back later beats burning five minutes on a single question.

What score do I need to pass the CPMAI_v7 exam, and how much does it cost?

The passing score for the PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification exam is Pass/Fail based on psychometric analysis, and the official registration fee is $699 USD. Remember that a failed attempt means paying that fee in full again, so a timed self-assessment with Dumpkiller practice questions about a week before your exam date is a cheap way to confirm you are scoring comfortably above Pass/Fail based on psychometric analysis.

Are there any prerequisites for the CPMAI_v7 exam?

According to PMI, the following applies: Completion of PMI-CPMAI Exam Prep Course required. Foundational knowledge of AI, data analytics, or project management helpful but not required.. Certification policies do change from time to time, so confirm the latest requirements on the official exam page at https://www.pmi.org/-/media/pmi/documents/public/pdf/certifications/cpmai-v7-exam-content-outline_2025---final.pdf before you register.

Can I try the CPMAI_v7 practice questions before buying?

Yes. Dumpkiller offers a free CPMAI_v7 PDF demo so you can review the question style, difficulty, and explanations before committing to anything. After purchase, your PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification material includes 365 days of free updates, and if your product expires after that, you can extend the update service at a 50% discount from your member zone.

What happens if I do not pass the CPMAI_v7 exam, and how is my order delivered?

If you take the corresponding CPMAI_v7 exam within 60 days of your purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee, subject to a few conditions: the failed exam must be the one matching your purchase; sitting the exam within 3 days of purchase does not qualify, since that leaves too little preparation time; downloading the material without actually taking the exam does not qualify; free materials and expired orders are excluded; and the candidate name must match the payer name. To apply, send a scanned copy of your enrollment slip together with your official Score Report (PDF) within 2 days after the exam, and claims are processed within 7 days. If you would rather not take a refund, you can exchange your purchase for two free products of equal value while keeping the update service on the product you originally bought. As for delivery, everything is an instant download: your products are sent to your email within one minute of payment — contact customer service if nothing arrives within 2 hours — and there is no limit on the number of computers you can install the software on.

What topics are covered in the CPMAI_v7 exam?

The official PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification syllabus is organized into 6 main domains. The first three are CPMAI Methodology (41%), Trustworthy AI (9%), and Data for AI (13%). For the full domain-by-domain breakdown, see the complete Exam Topics outline above.

PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification Sample Questions:

Question 1

The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive.
To keep your organization competitive, you need to:

A. Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
B. Make sure everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.
C. Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
D. Make sure all senior leadership is data literate, understands the V's of big data, data's connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.


Question 2

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. Clustering
B. Binary (or Binomial) Classification
C. Regression
D. Multiclass Classification


Question 3

Upper management is looking to roll out a new product and wants to see if there are any patterns and insights that can be discovered from customer data. Your team has been tasked to discover these potential patterns and structures within this data.
Which type of machine learning approach would be most appropriate to pick for this problem?

A. Unsupervised Learning
B. All would work equally well
C. Reinforcement Learning
D. Supervised Learning


Question 4

You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs. Specifically, the images you need are of people in different poses. What is the best way to obtain this data?

A. Make use of data from different departments
B. Make use of Synthetic Training Data
C. Make use of this data by having employees pose in the positions required
D. Make use of this data from surveillance footage


Question 5

For AI projects the code and systems don't matter as much as the data. In fact, big data is what's powering much of this latest wave of AI. What's most important for your company to consider around data?

A. Understanding which algorithms are best for your data needs.
B. Collect enormous amounts of data - the more data the better.
C. Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.
D. Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.


Solutions:

Question 1
Answer: D
Question 2
Answer: B
Question 3
Answer: A
Question 4
Answer: B
Question 5
Answer: D

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