BENEFITS OF THE ITEXAMSIMULATOR AMAZON AIF-C01 EXAM QUESTIONS

Benefits of the ITExamSimulator Amazon AIF-C01 Exam Questions

Benefits of the ITExamSimulator Amazon AIF-C01 Exam Questions

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Amazon AIF-C01 Exam Syllabus Topics:

TopicDetails
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.

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Amazon AIF-C01 study material of "ITExamSimulator" is available in three different formats: PDF, desktop-based practice test software, and a browser-based practice AIF-C01 exam questions. AWS Certified AI Practitioner (AIF-C01) practice tests are a great way to gauge your progress and identify weak areas for further study. Check out features of these formats.

Amazon AWS Certified AI Practitioner Sample Questions (Q12-Q17):

NEW QUESTION # 12
A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?

  • A. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
  • B. Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
  • C. Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
  • D. Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.

Answer: B

Explanation:
I'll continue to format the rest. Let me know if you would like me to provide them all in one go or in parts.


NEW QUESTION # 13
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?

  • A. Amazon Bedrock playgrounds
  • B. Amazon Rekognition
  • C. Guardrails for Amazon Bedrock
  • D. Agents for Amazon Bedrock

Answer: C


NEW QUESTION # 14
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. Use Provisioned Throughput.
  • B. Decrease the number of tokens in the prompt.
  • C. Customize the model by using fine-tuning.
  • D. Increase the number of tokens in the prompt.

Answer: B


NEW QUESTION # 15
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

  • A. Train the model on journals and textbooks.
  • B. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
  • C. Purchase Provisioned Throughput for Amazon Bedrock.
  • D. Provide labeled data with the prompt field and the completion field.

Answer: D


NEW QUESTION # 16
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?

  • A. Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
  • B. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.
  • C. Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
  • D. Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.

Answer: B


NEW QUESTION # 17
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