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: 365 (updated: )

Expected AIF-C01 Exam Topics, as suggested by Amazon:
Topic 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.
Topic 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.
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: 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.
Free AWS AIF-C01 Exam Actual Questions
Note: AWS AIF-C01 Premium Questions were last updated on

Q1. An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data. How should the AI practitioner prevent responses based on confidential data?

Q2. Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?

Q3. A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months. Which AWS solution should the company use to automate the generation of graphs?

Q4. A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children. Which AWS service or feature will meet these requirements?

Q5. A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model without managing infrastructure. Which solution will meet these requirements?