CPMAI問題集、PMI実際の試験問題

質問 1

Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model. What critical error did your team make?

A. They did not practice model versioning and keep all versions of the model

B. They did not practice model iteration and properly iterate on the model

C. They did not have data governance in place

D. They did not have a model retraining pipeline that took into account models

正解: A

解説: (PassTest メンバーにのみ表示されます)

質問 2

A government project plans to implement an AI-based fraud detection system and the project team needs to define the success criteria. They identified potential improvements in detection accuracy, reduction in investigation time, and cost savings as key performance indicators (KPIs).
However, they are unsure how to effectively quantify these KPIs. Which two approaches should be used? (Choose two.)

A. Rely on only qualitative feedback from stakeholders.

B. Use random benchmarks without industry comparison.

C. Implement a continuous performance monitoring system.

D. Establish a baseline using historical data comparisons.

E. Set fixed performance targets based on theoretical models.

正解: C,D

解説: (PassTest メンバーにのみ表示されます)

質問 3

You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?

A. Ask key stakeholders from all groups for input about their pain points.

B. Go through all possible scenarios to come up with the perfect first project.

C. Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.

D. Find a project that requires 100% accuracy in the results and start with that one.

正解: C

解説: (PassTest メンバーにのみ表示されます)

質問 4

Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?

A. Data integration focused on reducing the number of data sources.

B. Careful algorithm selection that reduces the need for data.

C. Data Deduping to reduce overall size and data complexity.

D. Data selection and attribute pruning to reduce overall size and data complexity.

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 5

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 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.

B. 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.

C. 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.

D. Make sure all senior leadership is data literate, understands the Vs of big data, data's connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 6

In a government healthcare AI project, the objective is to reduce patient wait times by optimizing staff schedules. After 6 months, the cost is US$500,000 with a completion rate of 60%. The project manager needs to determine the return on investment (ROI) to justify the current expenditure. What is an effective method to achieve this objective?

A. Apply a cost-consequence analysis to measure project efficiency.

B. Calculate the total savings in patient wait times and compare them to the initial cost.

C. Evaluate the incremental cost-benefit analysis using the cost-performance baseline.

D. Utilize a net present value model to project future benefits.

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 7

A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding.
What is a necessary initial task?

A. Identifying the primary stakeholders and their needs

B. Determining the scalability of AI solutions for transaction monitoring

C. Evaluating the accuracy of current fraud detection methods

D. Assessing the ethical implications of using AI for fraud detection

正解: A

解説: (PassTest メンバーにのみ表示されます)

質問 8

A financial services firm is building an AI model to detect fraudulent transactions. Identifying and validating data sources is critical to the model's success. What is an effective method that helps to ensure data accuracy?

A. Setting up a batch processing system for data cleansing

B. Employing a federated database system for decentralized data access

C. Implementing a blockchain-based ledger for transaction data

D. Utilizing data lineage tools to track data origin and transformations

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 9

Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However, your team doesn't have access to all the data it needs. What's the best course of action?

A. Do not move forward until you have access to all the data you need.

B. Cautiously move forward knowing you may need to pause mid-project which is ok.

C. Move ahead as planned so you stay on time with your project.

D. Move ahead as planned and hope you get access to the data once you need it. Since you're using an iterative approach you can always go back to steps as needed later on.

正解: B

解説: (PassTest メンバーにのみ表示されます)

質問 10

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. Continuous System monitoring

B. Key Performance Indicators (KPIs)

C. Data source identification

D. Human chain of accountability

E. ROI determination

F. AI System testing requirements

G. Vendor procurement methods

H. Algorithm selection

正解: A,B,D,F

解説: (PassTest メンバーにのみ表示されます)

質問 11

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. Multiclass Classification

C. Binary (or Binomial) Classification

D. Regression

正解: C

解説: (PassTest メンバーにのみ表示されます)

質問 12

A project team is using a prompt engineering approach to improve AI/machine learning (ML) model outputs. They started with broad questions and then narrowed down the specific elements.
If the team had provided insufficient context, what would be the result?

A. The output would include higher accuracy.

B. The model would perform more efficiently.

C. The model would generate more creative outputs.

D. The responses would lack relevance.

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 13

A healthcare provider is operationalizing an AI tool to assist in diagnostic processes. To ensure robust model governance, they need to address data privacy and ethical considerations. What should the project manager do?

A. Establish a comprehensive DPMS protocol.

B. Set up a continuous CUE review process.

C. Implement a multi-tiered DCA framework.

D. Develop a detailed privacy impact assessment (PIA).

正解: D

解説: (PassTest メンバーにのみ表示されます)

PMI Cognitive Project Management in AI (PMI-CPMAI) - CPMAI 模擬練習