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Amazon AIF-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Security, Compliance, and Governance for AI Solutions: This domain covers the security measures, compliance requirements, and governance practices essential for managing AI solutions. It targets security professionals, compliance officers, and IT managers responsible for safeguarding AI systems, ensuring regulatory compliance, and implementing effective governance frameworks.
Topic 2	Fundamentals of AI and ML: This domain covers the fundamental concepts of artificial intelligence (AI) and machine learning (ML), including core algorithms and principles. It is aimed at individuals new to AI and ML, such as entry-level data scientists and IT professionals.
Topic 3	Applications of Foundation Models: This domain examines how foundation models, like large language models, are used in practical applications. It is designed for those who need to understand the real-world implementation of these models, including solution architects and data engineers who work with AI technologies to solve complex problems.
Topic 4	Guidelines for Responsible AI: This domain highlights the ethical considerations and best practices for deploying AI solutions responsibly, including ensuring fairness and transparency. It is aimed at AI practitioners, including data scientists and compliance officers, who are involved in the development and deployment of AI systems and need to adhere to ethical standards.
Topic 5	Fundamentals of Generative AI: This domain explores the basics of generative AI, focusing on techniques for creating new content from learned patterns, including text and image generation. It targets professionals interested in understanding generative models, such as developers and researchers in AI.

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Amazon AWS Certified AI Practitioner Sample Questions (Q122-Q127):

NEW QUESTION # 122
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

A. R-squared score
B. Accuracy
C. Root mean squared error (RMSE)
D. Learning rate

Answer: B

NEW QUESTION # 123
What are tokens in the context of generative AI models?

A. Tokens are the mathematical representations of words or concepts used in generative AI models.
B. Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
C. Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
D. Tokens are the specific prompts or instructions given to a generative AI model to generate output.

Answer: C

Explanation:
Tokens in generative AI models are the smallest units that the model processes, typically representing words, subwords, or characters. They are essential for the model to understand and generate language, breaking down text into manageable parts for processing.
* Option A (Correct): "Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units": This is the correct definition of tokens in the context of generative AI models.
* Option B: "Mathematical representations of words" describes embeddings, not tokens.
* Option C: "Pre-trained weights of a model" refers to the parameters of a model, not tokens.
* Option D: "Prompts or instructions given to a model" refers to the queries or commands provided to a model, not tokens.
AWS AI Practitioner References:
* Understanding Tokens in NLP: AWS provides detailed explanations of how tokens are used in natural language processing tasks by AI models, such as in Amazon Comprehend and other AWS AI services.

NEW QUESTION # 124
A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.
Which action will reduce these risks?

A. Decrease the number of input tokens on invocations of the LLM.
B. Create a prompt template that teaches the LLM to detect attack patterns.
C. Avoid using LLMs that are not listed in Amazon SageMaker.
D. Increase the temperature parameter on invocation requests to the LLM.

Answer: B

Explanation:
Creating a prompt template that teaches the LLM to detect attack patterns is the most effective way to reduce the risk of the model being manipulated through prompt engineering.
* Prompt Templates for Security:
* A well-designed prompt template can guide the LLM to recognize and respond appropriately to potential manipulation attempts.
* This strategy helps prevent the model from performing undesirable actions or exposing sensitive information by embedding security awareness directly into the prompts.
* Why Option A is Correct:
* Teaches Model Security Awareness: Equips the LLM to handle potentially harmful inputs by recognizing suspicious patterns.
* Reduces Manipulation Risk: Helps mitigate risks associated with prompt engineering attacks by proactively preparing the LLM.
* Why Other Options are Incorrect:
* B. Increase the temperature parameter: This increases randomness in responses, potentially making the LLM more unpredictable and less secure.
* C. Avoid LLMs not listed in SageMaker: Does not directly address the risk of prompt manipulation.
* D. Decrease the number of input tokens: Does not mitigate risks related to prompt manipulation.

NEW QUESTION # 125
A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.
Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?

A. AWS CloudTrail
B. Amazon Fraud Detector
C. AWS Trusted Advisor
D. AWS Audit Manager

Answer: A

Explanation:
AWS CloudTrail is a service that enables governance, compliance, and operational and risk auditing of your AWS account. It tracks API calls and identifies unauthorized access attempts to AWS resources, including Amazon Bedrock.
* AWS CloudTrail:
* Provides detailed logs of all API calls made within an AWS account, including those to Amazon Bedrock.
* Can identify unauthorized access attempts by logging and monitoring the API calls, which helps in setting appropriate IAM policies and roles.
* Why Option B is Correct:
* Monitoring and Security: CloudTrail logs all access requests and helps detect unauthorized access attempts.
* Auditing and Compliance: The logs can be used to audit user activity and enforce security measures.
* Why Other Options are Incorrect:
* A. AWS Audit Manager: Used for automating audit preparation, not for tracking real-time unauthorized access attempts.
* C. Amazon Fraud Detector: Designed to detect fraudulent online activities, not unauthorized access to AWS services.
* D. AWS Trusted Advisor: Provides best practice recommendations for AWS resources, not access monitoring.
Thus, B is the correct answer for identifying unauthorized users attempting to access Amazon Bedrock.

NEW QUESTION # 126
Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

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

Answer: D

Explanation:
Amazon SageMaker Model Cards provide a standardized way to document important details about an AI model, such as its purpose, performance, intended usage, and known limitations. This enables transparency and compliance while fostering better communication between stakeholders. It does not store models physically or optimize computational requirements. References: AWS SageMaker Model Cards Documentation.

NEW QUESTION # 127
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FREE PDF 2025 AMAZON USEFUL REAL AIF-C01 QUESTIONS

Free PDF 2025 Amazon Useful Real AIF-C01 Questions