最近更新された2026年10月テストエンジン練習テストはCPMAI試験問題解答！
Cognitive Project Management in AI (PMI-CPMAI)認定サンプル問題と練習試験合格させます
質問 # 52
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. Implementing data augmentation techniques to fill missing values
- B. Setting up a continuous integration pipeline for real-time data validation
- C. Using data profiling tools to assess data completeness
- D. Operationalizing a data catalog to maintain metadata standards
正解：D
質問 # 53
A national health insurance company is embarking on a complex AI project to assist in coordinating patient care across its multiple hospital network. The AI system will analyze large amounts of patient data to coordinate care, improve patient outcomes, and optimize resource allocation. Numerous healthcare providers' data needs to be integrated. The data includes patient information which is private. The project needs to comply with data privacy regulations in various countries. Which critical step should be performed to optimize representative training data?
- A. Increase the data set size without considering diversity.
- B. Improve data understanding and preparation.
- C. Enhance the key performance indicator (KPI) metrics.
- D. Implement comprehensive bias detection metrics.
正解：B
質問 # 54
You're working with petabytes of data and need to make this dataset more manageable. To do this, you want to reduce the number of variables under consideration.
What is the name for this process?
- A. Dimensionality Reduction
- B. Gradient Descent
- C. Data selection
- D. Multivariate regression
正解：A
質問 # 55
Your organization wants to keep an eye on AI systems for Governance purposes. What are the most crucial things to consider? (Select all that apply.)
- A. AI System testing requirements
- B. Key Performance Indicators (KPIs)
- C. ROI determination
- D. Continuous System monitoring
- E. Human chain of accountability
- F. Algorithm selection
- G. Data source identification
- H. Vendor procurement methods
正解：A、B、D、E
質問 # 56
A fintech AI project uses third-party data sources for credit risk modeling. The project manager is concerned about compliance and accountability if the external data quality changes. Which control best supports responsible and trustworthy AI delivery?
- A. Remove all external data sources immediately
- B. Allow each team to apply its own data definitions
- C. Establish data governance and supplier controls, including auditability and monitoring
- D. Only document model performance once at launch
正解：C
解説：
PMI's trustworthy AI framing highlights governance, transparency, and accountability as essential ingredients for systems people can interpret and monitor. When third-party data feeds can change, the PMI-aligned approach is to establish governance and supplier controls that define data quality expectations, lineage, permitted uses, privacy constraints, and monitoring/audit mechanisms. This supports accountability by making data dependencies explicit and enabling early detection when upstream changes degrade model behavior.
質問 # 57
You're being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you're actually solving a real business problem. During phase I: Business Understanding, you should consider at least one of the following (Select all that apply):
- A. Has the "cool" factor
- B. Solves a previously unsolved problem
- C. Improve company competitiveness in the market
- D. Solves an already solved problem but does it better and cheaper
- E. Explores a proof of concept for an AI project
- F. Enhance revenue
正解：B、C、D、F
質問 # 58
An AI team is defining success criteria for a customer support chatbot. Leadership wants to approve the project but needs objective measures that reflect both business value and risk.
Which set of metrics is most appropriate?
- A. Lines of code written
- B. User satisfaction, containment rate, escalation accuracy, and privacy/compliance incidents
- C. Number of features delivered
- D. Response time only
正解：B
解説：
PMI-CPMAI emphasizes establishing acceptable performance metrics and aligning AI outcomes to business value while ensuring responsible and trustworthy practices. For chatbots, business value includes deflection/containment (how many issues are resolved without human agents), customer experience (satisfaction), and operational performance (latency). Risk measures must also be included because trustworthy AI requires governance and compliance controls (privacy/security, transparency, accountability). Therefore, metrics that combine outcomes and controls--user satisfaction, containment, correct escalation/hand-off, and privacy/compliance incident rates--are the most PMI-aligned set.
質問 # 59
An IT services company project manager is creating an AI project scope statement. They need to include details on the environments, devices, and personnel that will use the AI solution. What should the project manager do?
- A. Develop a comprehensive usage scenario analysis.
- B. Perform a detailed technical requirements audit for the scope statement.
- C. Gain stakeholder buy-in to proceed with the project.
- D. Create an AI efficacy program to complete the scope statement.
正解：A
解説：
Developing a comprehensive usage scenario analysis defines how the AI solution will be used, including the operating environments, devices, user roles, workflows, and personnel involved.
This provides the practical context needed for a complete AI project scope statement.
質問 # 60
Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?
- A. Real-time prediction
- B. Batch prediction
- C. Stream learning
- D. Web service / Microservice
正解：B
質問 # 61
Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?
- A. Real-time prediction
- B. Batch prediction
- C. Stream learning
- D. Web service / Microservice
正解：B
解説：
Batch prediction suits scenarios needing periodic analysis, like weekly monitoring, by processing accumulated data in scheduled batches.
質問 # 62
A team is evaluating different AI models for their project. They are considering error rates and overall performance. If the team had selected a model based solely on the error rate, what would be the outcome?
- A. An increase in stakeholder satisfaction based on performance
- B. A better performance across the chosen domains
- C. A potential to overlook other critical performance metrics
- D. A balanced performance across all metrics
正解：C
解説：
Selecting a model only by error rate can ignore other important measures such as precision, recall, fairness, robustness, explainability, latency, and business impact. A model may have a low error rate while still performing poorly against the broader criteria needed for project success.
質問 # 63
An IT services company is verifying data quality for an AI project aimed at predicting server downtimes. The project manager needs to decide whether to proceed with data preparation.
Which technique should the project manager use?
- A. Exploratory data analysis (EDA)
- B. Detailed cost-benefit analysis
- C. Data augmentation strategies
- D. Advanced data labeling methods
正解：A
解説：
Exploratory data analysis helps verify whether the server downtime data is complete, accurate, consistent, relevant, and suitable before moving into data preparation. It allows the project manager to identify missing values, outliers, patterns, anomalies, and quality issues that could affect model development.
質問 # 64
Your team is looking to develop an RPA bot to help assist call center agents while on providing support. What type of bot should your team be creating?
- A. Attended bot
- B. Augmented Intelligence
- C. Unattended bot
- D. RPA is not the right solution to this problem
正解：A
解説：
Attended bots work alongside human agents in real-time, assisting call center agents during support interactions.
質問 # 65
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. Regression
- B. Multiclass Classification
- C. Clustering
- D. Binary (or Binomial) Classification
正解：D
解説：
Spam filtering is a binary classification problem where emails are classified into one of two categories: spam or not spam.
質問 # 66
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
正解：B
解説：
Synthetic training data can be generated to create diverse, labeled images of people in various poses, effectively augmenting real-world data without privacy or logistical concerns.
質問 # 67
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