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EC-COUNCIL Certified AI Program Manager (CAIPM) Sample Questions:

1. Julian, the lead Identity Architect, has finished the initial integration of a new AI platform. He has successfully completed the "Configure SSO" step, ensuring that employees can log in using their corporate credentials. However, during a post-implementation audit, he discovers a "zombie account" issue: when he deletes a user from the corporate directory, the user is blocked from logging in, but their account profile and data remain active inside the AI tool. To fix this, Julian must return to the implementation roadmap and activate the specific protocol that listens for directory changes to automatically provision or deprovision these downstream profiles. Which specific Implementation Step must Julian execute next to close this gap?

A) Test access controls
B) Map to IdP groups
C) Enable SCIM sync
D) Define role hierarchy

2. Mr. Garp, Head of Revenue Analytics, is reviewing a decision-support system used by pricing teams in the organization. The system evaluates various pricing scenarios and provides likelihood estimates to guide decision-making. Over time, improvements in the system's performance are driven by refining the way business data is represented during model updates. The system remains stable unless explicitly updated through structured, planned revisions.
As part of strategic planning, Mr. Garp must determine which type of AI technology this system uses, to decide on future investments and align them with business goals.

A) Machine Learning
B) Agent Technologies
C) Deep Learning
D) Generative AI

3. An enterprise is considering deploying an AI solution that will be used across multiple business domains to support various knowledge and language-based tasks. Instead of developing separate AI models for each domain, the solution will be based on a common core capability, with domain-specific adjustments made where necessary. As the AI Portfolio Owner, your role is to ensure that this approach aligns with the company' s broader AI strategy and long-term investment priorities. You must assess the correct classification for this AI model to support future scalability and integration across the organization's diverse functions. Which AI model classification best fits this strategy?

A) Machine Learning
B) Foundation Models
C) Large Language Models
D) Generative AI

4. Dr. Henrik Larsen, Chief Information Officer, is defining the organizational structure for a highly regulated enterprise. AI initiatives are expected to increase, but specialist expertise is currently scarce and unevenly distributed. To manage regulatory exposure, leadership requires strict uniform governance and consistent tooling. Consequently, business units are expected to consume provided AI solutions rather than building their own systems during this phase. Given the strict requirement for uniform control and the scarcity of talent, which AI operating model is the viable option?

A) Decentralized Model
B) Hybrid Model
C) Centralized Model
D) Federated Model

5. During an AI initiative review, a delivery team reports that a predictive model is underperforming despite using datasets that already meet established quality, completeness, and consistency standards. The data has been sourced and validated, and no changes to model design or additional data acquisition are planned at this stage. Analysis indicates that existing data fields do not sufficiently reflect higher-level business behavior needed for learning. As part of AI operations oversight, you are asked to identify which data preparation activity should be applied next to address this issue. Which activity within the Data Collection and Preparation phase directly supports improving how existing data is represented for model learning?

A) Extracting raw data from source systems
B) Dividing data into training, validation, and test sets
C) Creating meaningful variables from existing data
D) Applying ground truth labels to records

Solutions: