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最新的 CPMAI PMI-CPMAI 免費考試真題:

1. A financial services firm is assessing the success of a newly operationalized AI system for fraud detection. The project manager needs to evaluate the model against business key performance indicators (KPIs).
What is an effective method to help ensure the accuracy of this evaluation?

A) Consulting with external experts and auditors
B) Utilizing a diverse set of validation techniques
C) Implementing a single comprehensive metric
D) Reviewing quarterly business financial reports

2. A team is running a forecasting project and wants to use previous user data to better predict future outcomes. However, the team does not have access to all the data they need.
Which action should the project manager take?

A) Move forward in order to remain on schedule with the project
B) Move forward cautiously with the understanding that there may be a need for a pause mid-project
C) Move forward while anticipating data access is given when needed. An iterative approach provides the ability to return to steps as needed later on
D) Do not move forward until access is given to all the necessary data

3. An aerospace firm is developing an AI system for predictive maintenance of their aircraft. The project team needs to define the required data to train the model.
Which activity should the project manager implement?

A) Setting up real-time data streaming from aircraft sensors
B) Implementing data cleaning and preprocessing routines
C) Developing a comprehensive data collection strategy
D) Conducting a pilot test with a small dataset

4. A manufacturing company is operationalizing an AI-driven quality control system. The project manager needs to ensure data privacy and regulatory compliance due to the critical nature of protecting sensitive operational data.
What is an effective technique that addresses these requirements?

A) Implementing a zero-trust architecture for network security
B) Utilizing a secure multiparty computation framework
C) Applying data anonymization to the dataset
D) Using a hybrid encryption scheme for storage

5. An AI project team needs to consider compliance with data regulations and explainability standards as requirements for a new AI solution.
At what point in the project should the requirements be approached?

A) As part of the final testing phase
B) As optional guidelines based on project scope
C) As part of the data preparation phase
D) As part of the business understanding phase

問題與答案：