- [Managing AI]
Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.
What type of algorithm is the best approach for this project?

1. A. Multiclass Classification
2. B. Regression
3. C. Clustering
4. D. Binary (or Binomial) Classification

Correct Answer: C
When the goal is to group or organize unlabeled data into meaningful categories, CPMAI specifies the use of unsupervised clustering algorithms—for example, ??if it is determined that an unsupervised clustering algorithm such as K-means will be used, the tool should support such needs?? . Clustering is the appropriate method for discovering groupings by type.

- [CPMAI Methodology]
Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be.
What should the project manager do?

1. A. Move forward without determining which pattern of AI this falls under.
2. B. Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
3. C. Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
4. D. Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.

Correct Answer: D
In Phase I: Business Understanding, after performing the Go/No Go assessment, the CPMAI methodology requires teams to perform AI Pattern identification—mapping business objectives to one or more of the Seven Patterns of AI—so that the right data requirements, algorithms, and team skills can be scoped effectively. This early pattern identification helps accelerate design by leveraging best practices for that pattern .

- [CPMAI Methodology]
A project manager meets with a customer for initial discussions about an upcoming project. At the end of the meeting, the customer asks the project manager for a rough estimate of the project duration. Based on her experience with three similar projects, the project manager provides an estimate of 8–10 months.
What's wrong with this timeframe?

1. A. It's underestimating the project timeline by 3 months
2. B. It fits into a waterfall timeframe, but not an agile project timeframe
3. C. It's not accounting for data preparation timelines
4. D. It's not accounting for potential project delays

Correct Answer: C
CPMAI's Phase III: Data Preparation is a distinct phase that encompasses data cleansing, augmentation, labeling, and pipeline construction. Because data engineering often accounts for the majority of AI project effort, omitting this phase from initial estimates leads to significant timeline underestimation. Project timelines must explicitly include Phase III activities to be realistic .

- [AI Fundamentals]
Which of the following best describes the technical definition of Machine Learning?

1. A. An approach to using increasing levels of intelligence to solve greater cognitive needs from unintelligent automation to autonomous business process.
2. B. A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.
3. C. The application of pre-defined rules and algorithms to solve complex problems.
4. D. The use of computing technology to enable machines to gain cognitive intelligence.

Correct Answer: B
Tom Mitchell??s widely adopted formulation captures ML??s essence: improvement on task T, measured by P, through experience E. This aligns with CPMAI??s view that ML enables systems to learn from data and improve over time (??The ability of a machine to learn from data, improve with experience, and apply that learning to make predictions.??) .

- [Data for AI]
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?

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

Correct Answer: A
In Phase III: Data Preparation, the Select Data task instructs teams to choose only the records and attributes needed for modeling—documenting inclusions and exclusions to reduce volume and complexity. This selective pruning of columns and rows is the primary mechanism for trimming excessive data before modeling.