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Amazon AIF-C01 Exam Questions

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Description

Exam Name: AWS Certified AI Practitioner
Exam Code: AIF-C01
Related Certification(s): Amazon Foundational Certification
Certification Provider: Amazon
Actual Exam Duration: 90 Minutes
Number of AIF-C01 practice questions in our database: 87 (updated: Jan. 03, 2025)
Expected AIF-C01 Exam Topics, as suggested by Amazon :

  • Module 1: 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.
  • Module 2: 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.
  • Module 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.
  • Module 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.
  • Module 5: 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.

Description

Exam Name: AWS Certified AI Practitioner
Exam Code: AIF-C01
Related Certification(s): Amazon Foundational Certification
Certification Provider: Amazon
Actual Exam Duration: 90 Minutes
Number of AIF-C01 practice questions in our database: 87 (updated: Jan. 03, 2025)
Expected AIF-C01 Exam Topics, as suggested by Amazon :

  • Module 1: 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.
  • Module 2: 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.
  • Module 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.
  • Module 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.
  • Module 5: 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.

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Q1. A company has thousands of customer support interactions per day and wants to analyze these interactions to identify frequently asked questions and develop insights. Which AWS service can the company use to meet this requirement?

A.Amazon Lex

B. Amazon Comprehend

C. Amazon Transcribe

D. Amazon Translate

Correct Answer: B

Q2. A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output. Which ML algorithm meets these requirements?

A.Decision trees

B. Linear regression

C. Logistic regression

D. Neural networks

Correct Answer: A

Q3. A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt. Which consideration will inform the company's decision?

A.Temperature

B. Context window

C. Batch size

D. Model size

Correct Answer: B

Q4. A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers. Which solution will meet these requirements?

A.Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.

B. Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.

C. Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.

D. Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.

Correct Answer: A

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