About PMI Cognitive Project Management in AI (PMI-CPMAI) exam torrent

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PMI CPMAI Exam Syllabus Topics:

PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. An AI project team has completed an AI go/no-go assessment. They have discovered several technology and data factors to be insufficient. Which action should occur?

A) Focus solely on technology upgrades, not data.
B) Proceed with development despite data issues.
C) Verify data quality and stakeholder alignment.
D) Launch the AI project without further assessment.

2. Data Engineering is 80%+ of most AI projects, so building a good Data Engineering Environment is key to AI Project Success. As the manager of this project, you need to make sure you have correct staffing needs. What's the most critical role to staff for in the Big Data / Data Engineering Environment?

A) Data Engineering
B) Senior management
C) All roles are critical to staff in the Four different AI Tech environments
D) Data Scientists
E) Data Engineering and Data Scientists

3. The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

A) Phase II
B) Phase IV
C) Phase V
D) Phase VI
E) Phase I
F) Phase III

4. A city transportation department is deploying an AI model that adjusts traffic signal timing. The department is concerned that traffic patterns will shift seasonally and during major events. What is the best method to manage this risk after deployment?

A) Increase the training dataset size once before launch
B) Rely on vendor guarantees instead of internal controls
C) Disable model updates to maintain consistent behavior
D) Perform continuous monitoring and auditing for drift and performance degradation

5. An aerospace company is in the data preparation phase of an AI project. The project team must verify data quality to make a go/no-go decision for model development. They need to integrate data from several sensors with different sampling rates. What is an effective method that helps to ensure data consistency?

A) Aggregating sensor data
B) Applying a real-time data synchronization protocol
C) Developing a custom data integration framework
D) Utilizing data interpolation methods

Solutions: