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PMI CPMAI Exam Syllabus Topics:

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

1. Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?

A) Careful algorithm selection that reduces the need for data.
B) Data Deduping to reduce overall size and data complexity.
C) Data integration focused on reducing the number of data sources.
D) Data selection and attribute pruning to reduce overall size and data complexity.

2. A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains. Which method will help identify the qualified data SMEs?

A) Examining their expertise in neural network calibration and hyperparameter tuning
B) Conducting interviews to assess their knowledge in anomaly detection
C) Assessing proficiency in developing generative adversarial networks (GANs) and experience in successfully generating synthetic data
D) Evaluating expertise with existing data architectures and their ability to optimize databases

3. A project lead is trying to work on a supervised learning binary classification problem to determine if emails are spam or not. They are working with an inexperienced team and this is their first AI project. What is an effective approach the project lead should use?

A) Selecting a known neural network algorithm that works well for supervised learning approaches
B) Selecting a simple algorithm such as Naive Bayes
C) Selecting a simple algorithm such as a Gaussian mixture model
D) Selecting an ensemble method if uncertain as to which algorithm provides the best performance

4. An aerospace company's project team is evaluating data quality before preparing data for AI models to predict maintenance needs. They are facing challenges with streaming data. If the project team were dealing with batch data, how would the result be different?

A) Batch data requires a higher need for data augmentation.
B) Batch data has more complex data conflicts.
C) Batch data is easier to manage the data inflow.
D) Batch data has greater inconsistency in the data.

5. When looking to implement AI to help break the Digital Transformation logjam, it's important to:

A) Start with basic automation and introduce AI only as needed
B) Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non digital processes
C) Invest in technology solutions to solve the problem
D) Have the right culture for AI

Solutions: