Free AIF-C01 Exam Braindumps
AWS Certified AI Practitioner (page: 20)

Updated On: 19-Oct-2026

A financial services company is deploying an AI customer support system to handle product inquiries. As the company adds new products and updates policies, the system must continue operating effectively without requiring rebuilding.
Which AI characteristic is required for this use case?

  1. Consistency across interaction channels
  2. Adaptability to incorporate updated information
  3. Transparency in generating responses
  4. Reliability in handling high-volume requests

Answer(s): B

Explanation:

Adaptability enables the AI system to incorporate new products, updated policies, and changing information so it can continue providing effective responses without needing to be rebuilt.



A company is using a large language model (LLM) on Amazon Bedrock to build a chatbot. The chatbot processes customer support requests. To resolve a request, the customer and the chatbot must interact a few times.
Which solution gives the LLM the ability to use content from previous customer messages?

  1. Turn on model invocation logging to collect messages.
  2. Add messages to the model prompt.
  3. Use Amazon Personalize to save conversation history.
  4. Use Provisioned Throughput for the LLM.

Answer(s): B

Explanation:

To give a large language model (LLM) the ability to use content from previous customer messages in a conversation, the previous messages must be included in the model prompt. This technique is known as prompt engineering and allows the LLM to retain context by incorporating a history of the interaction within the prompt. By appending prior exchanges to the prompt, the model can generate contextually relevant and coherent responses throughout the multi-turn conversation.



A company is building a generative AI application on AWS. The application will help improve reading comprehension for students. The application must give students the ability to add illustrations to stories.
Which solution will meet this requirement?

  1. Use Amazon Bedrock Stable Diffusion 3.5 Large to generate images based on text inputs.
  2. Use Amazon Polly to create an audiobook based on story texts.
  3. Use Amazon Rekognition to analyze image contents and detect text attributes.
  4. Create a standard prompt template. Use Amazon Q Business to illustrate stories.

Answer(s): A

Explanation:

Amazon Bedrock Stable Diffusion 3.5 Large is a generative AI model designed to create high-quality images from text prompts, allowing students to add custom illustrations to their stories and enhancing reading comprehension through visual aids.



A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.
Which AWS service meets this requirement?

  1. Amazon Textract
  2. Amazon Personalize
  3. Amazon Lex
  4. Amazon Transcribe

Answer(s): A

Explanation:

Amazon Textract can extract text from PDF documents, making it suitable for converting resumes into plain text for further processing. The other services do not provide functionality to extract text from PDFs.



An online media streaming company wants to give its customers the ability to perform natural language-based image search and filtering. The company needs a vector database that can help with similarity searches and nearest neighbor queries.
Which AWS service meets these requirements?

  1. Amazon Comprehend
  2. Amazon Personalize
  3. Amazon Polly
  4. Amazon OpenSearch Service

Answer(s): D

Explanation:

Amazon OpenSearch Service supports vector search capabilities, allowing you to perform similarity searches and nearest neighbor queries - key requirements for natural language-based image search and filtering.



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