AWS AI Practitioner AIF-C01 Certification Exam

AWS Certified AI Practitioner AIF-C01

The AWS Certified AI Practitioner certification validates a foundational understanding of artificial intelligence, machine learning, and generative AI concepts on AWS. The exam covers five domains: Fundamentals of AI and ML, Fundamentals of Generative AI, Applications of Foundation Models, Guidelines for Responsible AI, and Security, Compliance, and Governance for AI Solutions, including services like Amazon Bedrock, SageMaker, Amazon Q, Comprehend, Rekognition, and Textract. Candidates are also tested on prompt engineering, model evaluation, responsible-AI practices, and data governance. This certification suits anyone who uses AI solutions on AWS without building or training models.

Certification Overview

  • Exam name: AI Practitioner AIF-C01
  • Vendor: AWS
  • Exam code: AIF-C01
  • Duration: 90 minutes
  • Total questions: 65
  • Passing score: 70%

Who Should Take This Exam?

Business Analyst, IT Support Specialist, Marketing Professional, Product Manager, Project Manager, Line-of-Business Manager, IT Manager, Sales Professional, Solutions Architect

Prerequisites

No prior certification is required. AWS recommends up to six months of exposure to AI/ML technologies on AWS.

Topics Covered

  • Fundamentals of AI and ML
  • Fundamentals of GenAI
  • Applications of Foundation Models
  • Guidelines for Responsible AI
  • Security, Compliance, and Governance for AI Solutions

Question Types

  • Multiple Choice (Single Answer)
  • Multiple Choice (Multiple Answers)
  • Drag and Drop

AI Practitioner AIF-C01 Practice Questions

Our question bank contains 849+ practice questions for this certification. Sample questions from each exam chapter. Expand a question to see the answer choices. With a subscription, you get unlimited practice exams with randomized questions from our full question bank.

Fundamentals of AI and ML

What is the term for data that has been labeled with the correct output for use in training a model?
  • Structured data
  • Labeled data
  • Synthetic data
  • Feature data
Which type of machine learning uses labeled data to train a model to predict outcomes?
  • Unsupervised learning
  • Supervised learning
  • Reinforcement learning
  • Semi-supervised learning
A retail company wants to automatically sort incoming support tickets into topic categories. Which type of AI task does this represent?
  • Regression
  • Classification
  • Clustering
  • Anomaly detection

Fundamentals of GenAI

What is a foundation model in generative AI?
  • A rule-based system with fixed logic
  • A dataset labeled for one narrow task
  • A large pretrained model adaptable to many tasks
  • A cluster of GPUs reserved for training
Which AWS service lets a company build a generative AI assistant grounded in its own enterprise documents without managing infrastructure?
  • Amazon Kinesis
  • AWS Glue
  • Amazon Redshift
  • Amazon Q Business
Which AWS service provides access to foundation models from multiple providers through a single API?
  • Amazon EMR
  • Amazon Bedrock
  • AWS Lambda
  • AWS Batch

Applications of Foundation Models

Which AWS service provides a fully managed way to access foundation models through a single API?
  • Amazon Comprehend
  • Amazon SageMaker Studio
  • Amazon Kendra
  • Amazon Bedrock
What is the primary benefit of using Retrieval Augmented Generation (RAG) with a foundation model?
  • Reducing the number of parameters in the model
  • Grounding responses in proprietary data
  • Eliminating the need for a user interface
  • Increasing the model's maximum token limit
Which Amazon Bedrock feature helps prevent harmful or off-topic model outputs?
  • Model Evaluation
  • Guardrails
  • Agents
  • Knowledge Bases

Guidelines for Responsible AI

What does the term bias mean in the context of a machine learning model?
  • Systematic errors that favor certain groups over others
  • The number of parameters in a neural network
  • The cost of running inference at scale
  • The time a model takes to generate a response
Which AWS service helps detect bias in datasets and trained models?
  • Amazon CloudWatch
  • AWS Trusted Advisor
  • Amazon Kinesis
  • Amazon SageMaker Clarify
What is the purpose of a model card?
  • To encrypt data used during training
  • To document a model's intended use, limitations, and performance
  • To schedule automatic retraining jobs
  • To store the trained model weights for deployment

Security, Compliance, and Governance for AI Solutions

Which AWS service centrally manages encryption keys used to protect data for services such as Amazon SageMaker and Amazon Bedrock?
  • AWS Config
  • AWS CloudTrail
  • AWS KMS
  • Amazon EventBridge
What is the purpose of AWS CloudTrail when used with AI services such as Amazon Bedrock?
  • Encrypts model artifacts at rest
  • Balances inference traffic
  • Logs API calls made to the service
  • Trains foundation models
Under the AWS shared responsibility model, which task is AWS responsible for when a company uses a fully managed AI service?
  • Writing IAM policies for end users
  • Classifying the customer's uploaded data
  • Securing the underlying infrastructure
  • Choosing which prompts to send

Frequently Asked Questions

How many questions are on the exam?

The AI Practitioner AIF-C01 exam contains 65 questions.

What is the passing score?

You need 70% to pass.

How long is the exam?

You have 90 minutes to complete the exam.

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