100% PASS-RATE AIF-C01 GUARANTEED SUCCESS HELP YOU TO GET ACQUAINTED WITH REAL AIF-C01 EXAM SIMULATION

100% Pass-Rate AIF-C01 Guaranteed Success Help You to Get Acquainted with Real AIF-C01 Exam Simulation

100% Pass-Rate AIF-C01 Guaranteed Success Help You to Get Acquainted with Real AIF-C01 Exam Simulation

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Amazon AIF-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.
Topic 4
  • 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 5
  • 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.

Amazon AWS Certified AI Practitioner Sample Questions (Q58-Q63):

NEW QUESTION # 58
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 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.
  • B. Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.
  • C. Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.
  • D. Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.

Answer: B


NEW QUESTION # 59
A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.
Which solution meets these requirements?

  • A. Build a conversational chatbot by using Amazon Lex.
  • B. Create classification labels by using Amazon Comprehend.
  • C. Extract information from call recordings by using Amazon SageMaker Model Monitor.
  • D. Transcribe call recordings by using Amazon Transcribe.

Answer: D


NEW QUESTION # 60
A company is using few-shot prompting on a base model that is hosted on Amazon Bedrock. The model currently uses 10 examples in the prompt. The model is invoked once daily and is performing well. The company wants to lower the monthly cost.
Which solution will meet these requirements?

  • A. Customize the model by using fine-tuning.
  • B. Increase the number of tokens in the prompt.
  • C. Use Provisioned Throughput.
  • D. Decrease the number of tokens in the prompt.

Answer: D


NEW QUESTION # 61
A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.
Which solution will meet these requirements?

  • A. Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
  • B. Image recognition by using Amazon Rekognition
  • C. Data augmentation by using an Amazon Bedrock knowledge base
  • D. Data summarization by using Amazon QuickSight

Answer: A


NEW QUESTION # 62
Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

  • A. Amazon Personalize
  • B. Amazon SageMaker JumpStart
  • C. PartyRock, an Amazon Bedrock Playground
  • D. Amazon SageMaker endpoints

Answer: D


NEW QUESTION # 63
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