100% PASS 2025 PMI VALID SIMULATION CPMAI_V7 QUESTIONS

100% Pass 2025 PMI Valid Simulation CPMAI_v7 Questions

100% Pass 2025 PMI Valid Simulation CPMAI_v7 Questions

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Tags: Simulation CPMAI_v7 Questions, New CPMAI_v7 Exam Prep, CPMAI_v7 Reliable Test Pattern, CPMAI_v7 Test Score Report, CPMAI_v7 Reliable Test Topics

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PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification Exam Sample Questions (Q33-Q38):

NEW QUESTION # 33
You are working for a large multinational organization and have been assigned to a new project. For your new ML project you need to make sure you're managing data privacy and security as you're working with sensitive customer data.
What critical security issues do you need to make sure you address? (Select all that apply.)

  • A. Securing model data and metadata
  • B. Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
  • C. Securely storing all data collected for training purposes
  • D. Securing data at rest

Answer: A,B,C,D

Explanation:
Under Domain VI: Trustworthy AI - Task 2: Implementing AI Privacy and Security, CPMAI mandates that teams must:
Apply data privacy principles and "ensure compliance with General Data Protection Regulation (GDPR)" and other relevant laws regardless of location .
Identify and protect Personally Identifiable Information (PII) and "develop comprehensive AI safety and security protocols," which encompasses securing both model data and metadata and enforcing security monitoring for production systems .
Implement best practices for data anonymization, defense against adversarial attacks, and the secure handling of datasets-this includes securing data at rest and securely storing training data in accordance with organizational and regulatory requirements .
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NEW QUESTION # 34
You need to hire a data scientist to join your team. What skill sets should you be looking for when hiring and interviewing this person? (Select all that apply.)

  • A. Prompt engineering skills
  • B. Critical thinking skills
  • C. Understanding of algorithms
  • D. Automation skills, especially around creating RPA bots
  • E. Strong math skills, especially in calculus and statistics
  • F. Understanding of tools and technologies for manipulating, collecting, and preparing large data sets

Answer: B,C,E,F

Explanation:
In Phase I's AI Skills Assessment, CPMAI directs teams to "List the cognitive skills you have available" and to identify "What expertise and skills you have available to you that you can use for this project" as well as any skills gaps to address . The methodology-and the CPMAI Glossary's definition of a data scientist- emphasizes core competencies in:
Data Engineering & Preparation (manipulating, collecting, transforming large data sets) Critical Thinking (interpreting insights to align with business goals) Algorithmic Understanding (selecting and applying the right statistical or ML models) Mathematical Proficiency (especially statistics and calculus underpinning model creation) By contrast, prompt engineering (A) is a specialized role for LLM interactions, not a general data-science core competency; and RPA-centric automation skills (E) fall outside the CPMAI focus on cognitive/ML capabilities.
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NEW QUESTION # 35
As an organization building an AI solution for your current customers based in NYC, but with possible plans for future expansion, how should you handle worldwide AI laws and regulations?

  • A. You're too small of an organization to be worried about laws at the moment
  • B. Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC
  • C. Make sure to follow relevant data, privacy, and other important laws both in the US and where you're likely to expand to in the coming year
  • D. Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States

Answer: C

Explanation:
CPMAI's Trustworthy AI - Navigating AI Regulations and Frameworks tasks require continuously monitoring "AI-relevant data privacy laws and regulations" both where you operate today and where you plan to expand . Furthermore, the Workbook's Task: Required Compliance with Regulations and Laws instructs teams to identify all laws and regulations that might apply based on location, industry, and other factors, ensuring legal and liability risks are addressed before operationalization .
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NEW QUESTION # 36
During CPMAI Phase II, it's important to not only understand the sources of your data but also what data is required for training as well as identifying the features that are required.
When looking to gather data, what approach is best when determining how much data you need?

  • A. The "more is better" approach
  • B. The "less is better" approach
  • C. There is no correct approach
  • D. The "Goldilocks" approach

Answer: D

Explanation:
Phase II: Data Understanding centers on identifying just the right amount of data for model training-neither too little (risking underfitting) nor too much (wasting resources and introducing noise). This balanced-
"Goldilocks"-approach ensures you collect sufficient high-quality, relevant records to meet cognitive objectives without incurring unnecessary cost or complexity.
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NEW QUESTION # 37
Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?

  • A. Projective Analytics
  • B. Diagnostic Analytics
  • C. Descriptive Analytics
  • D. Predictive Analytics

Answer: C

Explanation:
Descriptive analytics focuses on summarizing and reporting on past data-exactly what's needed to highlight historical purchasing patterns and performance metrics. The CPMAI Glossary defines analytics as "the use of statistical and computational methods to extract meaningful insights from data (related: predictive, descriptive, ...)" where descriptive analytics provides the retrospective view.
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NEW QUESTION # 38
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Candidates who pass CPMAI_v7 Certification prove their worth in the PMI field. The Cognitive Project Management in AI CPMAI v7 - Training & Certification Exam certification is proof of their competence and skill. This skill is highly useful in big PMI companies that facilitate a candidate's career. To get certified, it is very important that you pass the Cognitive Project Management in AI CPMAI v7 - Training & Certification Exam certification exam to prove your skills to the tech company. For this task, you require high-quality and accurate prep material to help you out. And many people don't get reliable material and ultimately fail. Failure leads to a loss of time and money.

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