Download AWS Certified AI Practitioner.AIF-C01.ExamTopics.2026-04-03.352q.tqb

Vendor: Amazon
Exam Code: AIF-C01
Exam Name: AWS Certified AI Practitioner
Date: Apr 03, 2026
File Size: 5 MB
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Demo Questions

Question 1
A company is using Amazon Q Business to create an AI assistant. The company needs to restrict user interactions with the AI assistant to company-approved topics.
Which feature will meet these requirements?
  1. Amazon Q Business Enterprise index
  2. Amazon Q Business Starter index
  3. Amazon Q Business application guardrails
  4. Amazon Q index cross-account access
Correct answer: C
Question 2
A company wants to build a new ML solution. The company already has data. The company needs to understand the ML lifecycle before building the solution.
Select and order the steps from the following list to correctly describe the ML lifecycle. Select each step one time.
Correct answer: To work with this question, an Exam Simulator is required.
Question 3
A company wants to use ML to increase customer engagement and sales. The company has collected a large dataset that includes customer demographics, purchase history, browsing patterns, and product ratings.
Select the correct ML approach from the following list for each use case. Select each ML approach one time.
Correct answer: To work with this question, an Exam Simulator is required.
Question 4
An AI practitioner is developing a prompt for large language models (LLMs) in Amazon Bedrock. The AI practitioner must ensure that the prompt works across all Amazon Bedrock LLMs.
Which characteristic can differ across the LLMs?
  1. Maximum token count
  2. On-demand inference parameter support
  3. The ability to control model output randomness
  4. Compatibility with Amazon Bedrock Guardrails
Correct answer: A
Question 5
A company must comply with regulatory standards to develop and use trustworthy AI management solutions.
Which approach will meet this requirement?
  1. Optimize model inference time by using high-powered GPUs for faster processing.
  2. Ensure that each AI solution is developed only by technical experts. Do not involve other stakeholders.
  3. Constrain transparency and user access to each model’s decision-making process.
  4. Ensure fairness, transparency, accountability, and security throughout the lifecycle of each AI solution.
Correct answer: D
Question 6
Which statement accurately describes Retrieval Augmented Generation (RAG)?
  1. A process that uses large amounts of new data to train large language models (LLMs) to improve LLM performance
  2. A process by which large language models (LLMs) reference external authoritative knowledge bases to enhance the relevance and accuracy of LLM responses without re-training
  3. A process that limits large language models (LLMs) exclusively to their original training data to improve response speed for business applications without re-training
  4. A process that focuses on language translation tasks for businesses that operate in multiple countries
Correct answer: B
Question 7
A company wants to generate synthetic data responses for multiple prompts from a large volume of data. The company wants to use an API method to generate the responses. The company does not need to generate the responses immediately.
Which solution meets these requirements with the LEAST development effort?
  1. Input the prompts into the model. Generate responses by using real-time inference.
  2. Use Amazon Bedrock batch inference. Generate responses asynchronously.
  3. Use Amazon Bedrock agents. Build an agent system to process the prompts recursively.
  4. Use AWS Lambda functions to automate the task. Submit one prompt after another and store each response.
Correct answer: B
Question 8
Which foundation model (FM) in Amazon Bedrock can be fine-tuned for text, image, and video comprehension?
  1. Amazon Nova Pro
  2. Amazon Titan Multimodal Embeddings G1
  3. Amazon Titan Text G1 - Express
  4. Amazon Nova Micro
Correct answer: A
Question 9
A company stores customer data in OpenSearch. The company wants an AI solution to retrieve specific customer information from the stored data. The AI solution must convert queries into data requests and generate CSV files from the results. Then, the AI solution must upload the CSV files to Amazon S3.
Which solution will meet these requirements in the MOST operationally-efficient way?
  1. Create an AI agent to perform the required steps.
  2. Use a single foundation model (FM) with few-shot prompting.
  3. Create a software application without using AI to perform the required steps.
  4. Train a decision tree model to generate a solution based on user questions.
Correct answer: A
Question 10
A company that streams media is selecting an Amazon Nova foundation model (FM) to process documents and images. The company is comparing Nova Micro and Nova Lite. The company wants to minimize costs.
Which model characteristics should the company consider to meet these requirements?
  1. Nova Micro uses transformer-based architectures. Nova Lite does not use transformer-based architectures.
  2. Nova Micro supports only text data. Nova Lite is optimized for numerical data.
  3. Nova Micro supports only text. Nova Lite supports images, videos, and text.
  4. Nova Micro runs only on CPUs. Nova Lite runs only on GPUs.
Correct answer: C
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