What is the purpose of memory management in an agentic AI system?

To allocate computational resources for running the agent's model

To store and retrieve information about past interactions and user preferences to inform future decisions

To define the rules for how the agent should respond to user inputs

To enable the agent to call external APIs

What is the primary purpose of embeddings in generative AI?

To store the model's parameters and weights for inference

To convert text into a numerical vector that captures semantic meaning, enabling similarity comparisons

To generate new images from textual descriptions

To break down long documents into smaller, manageable pieces for processing

Which of the following is a common use case for generative AI in the audio domain?

Sentiment analysis of customer reviews

Speech synthesis for virtual assistants

Image classification for autonomous vehicles

A company has fine-tuned a foundation model on customer-support tickets. Before deployment, they want to evaluate the model's performance on a held-out dataset. The team is concerned about both accuracy and inference cost. Which evaluation approach is most appropriate?

Skip evaluation and deploy directly to save time and cost

Evaluate the model only on the training data to ensure it memorized the examples

Evaluate the base model only, since the fine-tuned model is assumed to be better

Evaluate the fine-tuned model on the held-out dataset and compare metrics against the base model

Which of the following is an example of context engineering?

Fine-tuning the model on a dataset of customer support tickets

Using a larger model with more parameters

Adjusting the temperature parameter to control randomness

Including the user's previous questions in the prompt to maintain conversation continuity

AWSCertified AI Practitioner

Domain 2Objective 1

Task Statement 2.1: Explain the Basic Concepts of Generative AI (GenAI). AIF-C01 Practice Questions (Page 3)

Part of the Content Domain 2: Fundamentals of GenAI domain, which makes up ~19% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–11 in this domain), expect 2–4 from this objective — we provide 32 practice questions to prepare you well beyond it. (estimate)

32questions here

7free pages

6concepts

Questions 11–15

11foundation · easy
What is the purpose of memory management in an agentic AI system?
Select an answer first
12foundation · easy
What is the primary purpose of embeddings in generative AI?
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13foundation · easy
Which of the following is a common use case for generative AI in the audio domain?
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14expert · hard
A company has fine-tuned a foundation model on customer-support tickets. Before deployment, they want to evaluate the model's performance on a held-out dataset. The team is concerned about both accuracy and inference cost. Which evaluation approach is most appropriate?
Select an answer first
15foundation · easy
Which of the following is an example of context engineering?
Select an answer first

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