Question 1
Which type of machine learning trains a model on labeled examples so it can predict the label for new inputs?
Correct Answer:
Supervised learning
Question 2
What does an embedding represent in a modern LLM or RAG pipeline?
Correct Answer:
A dense numeric vector that captures the semantic meaning of text
Question 3
In a Retrieval-Augmented Generation (RAG) architecture, what is the role of the vector database?
Correct Answer:
Store document embeddings and return the most similar chunks for a query
Question 4
Which AI artifact is a foundation model that has been further trained on a smaller, task-specific labeled dataset?
Correct Answer:
Fine-tuned model
Question 5
Which paradigm best describes a chatbot agent that takes actions, observes the result, and adjusts its plan to maximize a long-term reward?
Correct Answer:
Reinforcement learning
Question 1
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Prepare with the CompTIA SecAI+ Practice Questions - CompTIA SecAI+ Exam practice quiz. This question bank includes 100 questions covering model, control, directly, owasp, and agent. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

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CompTIA SecAI+ Practice Questions - CompTIA SecAI+ Exam

This practice set contains 100 questions from the matching question bank and focuses on model, control, directly, owasp, and agent. Work through each question carefully, review the provided solutions, and revisit topics that need more study before your next attempt.

This is an independent study resource intended for practice and review; it is not an official examination or an endorsement by any organization named in the title.

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