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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q48-Q53):

NEW QUESTION # 48
Your team is trying to determine which pattern best fits their AI problem. To do this the project team is running through the seven patterns of AI to figure out what pattern best applies to their problem.
Which of the following is the best approach?

A. When in doubt, don't apply any pattern of AI.
B. Determine what you're trying to accomplish and see which pattern(s) of AI fit best.
C. When in doubt, go with the patterns and anomalies pattern as all AI projects are about pattern matching.
D. Apply every pattern to the project.

Answer: B

NEW QUESTION # 49
During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules.
What problem describes the issue the project team is facing?

A. Failure to identify applicable data regulations early on
B. Absence of a clear AI go/no-go assessment
C. Inadequate separation of cognitive and noncognitive software
D. Lack of clarity on the project's business objective

Answer: A

NEW QUESTION # 50
Use cognitive technologies/AI when you can't code the rules or you can't scale easily with people or automation. As a good rule of thumb when deciding if AI is right for the project you should:

A. Decide if it's probabilistic or deterministic patterns. If it's deterministic then go with the AI project.
B. See if simple rules work. If yes, then pick the right AI solution to solve the problem.
C. Decide if it's probabilistic or deterministic patterns. If it's probabilistic then go with the AI project.
D. Decide if it's a statistics pattern. If it's statistical then go with the AI project.

Answer: A

NEW QUESTION # 51
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. Binary (or Binomial) Classification
B. Multiclass Classification
C. Clustering
D. Regression

Answer: A

NEW QUESTION # 52
In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:

A. Provide a means to reverse-engineer the algorithm to inspect its performance
B. Provide a means to have a different team on the project
C. Provide a means to interpret AI results so that cause and effect can be represented.
D. Provide a means to have contestability of the algorithm selected

Answer: C

NEW QUESTION # 53
......

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