Title: Pass Guaranteed Quiz 2026 PMI CPMAI: Cognitive Project Management in AI (PMI-CPM [Print This Page] Author: jontate383 Time: yesterday 13:01 Title: Pass Guaranteed Quiz 2026 PMI CPMAI: Cognitive Project Management in AI (PMI-CPM You will notice the above features in the PMI CPMAI Web-based format too. But the difference is that it is suitable for all operating systems: Macs, Linux, iOS, Androids, and Windows. There is no need to go through time-taking installations or agitating plugins to use this format. It will lead to your convenience while preparing for the PMI CPMAI Certification test. Above all, it operates on all browsers: Mozilla, Safari, Opera, Google Chrome, and Internet Explorer.
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Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose. What area of Trustworthy AI does this best fall under?
A. Governed AI
B. Explainable AI
C. Responsible AI
D. Transparent AI
Answer: C
NEW QUESTION # 86
During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?
A. Algorithm Selection
B. Model Selection
C. Model training
D. Model tuning
Answer: A
NEW QUESTION # 87
A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project.
What's wrong with this suggestion?
A. There is no issue. Pipelines can be reused as needed between projects.
B. Pipelines are pattern and model need specific.
C. Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.
D. Pipelines are model operationalization need specific.
Answer: B
NEW QUESTION # 88
A project manager is reviewing the performance of an AI model used for predictive analytics in sales. The model's accuracy is within acceptable limits; however, its precision is low.
What is the cause for the precision issue?
A. The training data is unbalanced
B. The model is underfitting the validation data
C. The model is overfitting the training data
D. The feature selection process is flawed
Answer: A
NEW QUESTION # 89
You're looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?
A. Use of super-resolution to enhance the existing image
B. Use of inpainting to replace image components
C. Prompt engineering for new image generation
D. Use of Generative Outpainting
Answer: D
NEW QUESTION # 90
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