Enhancing and cleaning data is an important action during which phase of CPMAI?
A. Phase II
B. Phase V
C. Phase IV
D. Phase VI
E. Phase III
F. Phase I
正解:F
解説: (Pass4Test メンバーにのみ表示されます)
質問 2:
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: (Pass4Test メンバーにのみ表示されます)
質問 3:
A project manager is considering the feasibility of an AI solution for a project aimed at improving customer service response times. They need to decide whether the project requirements can be solved with existing technologies or whether AI is the best approach. Which principle do the project manager's activities represent?
A. Identifying ethical concerns
B. Determining automation potential
C. Evaluating cognitive alternatives
D. Assessing scalability requirements
正解:C
解説: (Pass4Test メンバーにのみ表示されます)
質問 4:
An aerospace company is evaluating whether their sensor data meets the requirements for an AI- based predictive maintenance system. The project team needs to ensure that the data's accuracy, resolution, and timeliness are adequate to predict equipment failures. Which method addresses the requirements?
A. Performing a data quality assessment focusing on precision and latency
B. Analyzing data completeness and conducting feature engineering
C. Evaluating the data schema and integrating additional data sources
D. Implementing a data governance framework to ensure compliance
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
質問 5:
An AI solution performs well in testing but fails after deployment due to differences between training data and real-world production data. The team identifies discrepancies in feature distributions across environments. What is the primary issue affecting performance?
A. Hardware constraints
B. Data drift between environments
C. Model bias
D. Underfitting
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
1362 お客様のコメント





Haruyama -
この本のみ、勉強時間は会社の往復の電車の中、アプリバージョンで、平日1時間ちょいでした。CPMAI平易な記述となっているので初学者でも自学自習進めやすい内容だと思います。