Free CAIPM sample questions

Correct answer: AI Hallucination

AI Hallucination refers to the generation of confident but factually incorrect or nonsensical information by a Large Language Model (LLM). This is a critical failure mode in Generative AI that program managers must mitigate through grounding (RAG) and strict governance.

Correct answer: False

False. Model Drift (or Data Drift) refers to the degradation of model performance over time because the statistical properties of the target variable or input data have changed in the real world compared to the training data. It requires retraining, not passive observation.

Correct answer: Structured, machine-readable policy documents and business rules (Guardrails).

AI Agents operate autonomously. To prevent them from making unauthorized or suboptimal decisions (like offering 90% discounts), the most critical dependency is having explicit, structured business rules and policy guardrails that the agent can query and adhere to during execution.

Correct answer: Technology and Infrastructure Readiness

Technology and infrastructure readiness checks whether the organization can run AI in production. It looks at scalable compute, deployment environments, integration with core systems and MLOps (machine learning operations) pipelines. Google's MLOps guidance says that the real challenge is not building a model, but building an integrated ML system and operating it continuously in production. Teams without this capability stay at MLOps level 0, where every step is manual and new model versions are deployed only a few times a year. Data readiness covers data quality and access. Cultural readiness covers how people accept AI. Strategic readiness covers alignment with business goals and sponsorship. These dimensions matter, but they do not measure the capability to move a proof of concept into production at scale.

Correct answers: To benchmark current capabilities against desired future state and industry standards.; To identify specific gaps in skills, data, and process that require investment.

An AI maturity assessment measures where the organization stands today. It compares current AI capabilities with the desired future state and with industry standards. This benchmark shows the distance to the target.

An AI maturity assessment finds the gaps in skills, data, and process. These gaps are its practical output. They show where the organization must invest, and they guide the AI roadmap.

Correct answer: Cultural/Organizational Risk

Resistance from management and fear of job displacement are classic Cultural/Organizational risks. Even with perfect data and budget (Technical/Financial readiness), cultural resistance can cause program failure.