AI Practitioner AIF-C01 Practice Questions & Answers • ExamPrepare

Question 1

Which AI technique combines large language models (LLMs) with external knowledge bases to improve response accuracy?

Reinforcement learning (RL)
Natural language processing (NLP)
Retrieval Augmented Generation (RAG)
Transfer learning

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Question 2

A company is using Amazon Bedrock to build a customer-facing AI assistant. The company wants to filter out harmful and offensive content. The company also wants to block customer personally identifiable information (PII) from appearing in the AI assistant's responses.

Which AWS solution will meet these requirements with the LEAST operational overhead?

Amazon Macie
Amazon Bedrock Guardrails
Amazon Comprehend
Amazon Inspector

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Question 3

A retail company uses AWS frontier agents to automate multi-step business processes, including order fulfillment and inventory updates.

Which characteristic is exclusive to AWS frontier agents compared to traditional foundation models (FMs)?

Strict reliance on pre-trained static weights without adaptation
Autonomous orchestration of multi-step workflows by using tools and memory
Exclusive dependence on human-provided input or review for every operation
Limitation to single-turn input-output processing

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Question 4

Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

Providing a visually appealing summary of a model's capabilities.
Standardizing information about a model's purpose, performance, and limitations.
Reducing the overall computational requirements of a model.
Physically storing models for archival purposes.

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Question 5

Which type of AI model makes numeric predictions?

Diffusion
Regression
Transformer
Multi-modal

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Question 6

A company has trained a foundation model (FM) to perform a specific task. The company needs to fine-tune the FM to perform a different but related task.

Which fine-tuning method will meet this requirement?

Hyperparameter tuning
Pre-training
Transfer learning
Reinforcement learning

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