100% PASS 2025 PROFESSIONAL AMAZON AIF-C01 LATEST MOCK TEST

100% Pass 2025 Professional Amazon AIF-C01 Latest Mock Test

100% Pass 2025 Professional Amazon AIF-C01 Latest Mock Test

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Tags: AIF-C01 Latest Mock Test, AIF-C01 Reliable Test Test, AIF-C01 Examcollection Dumps, AIF-C01 Exam Dumps Pdf, AIF-C01 Related Content

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Amazon AIF-C01 Reliable Test Test - AIF-C01 Examcollection Dumps

What sets ExamsReviews AWS Certified AI Practitioner (AIF-C01) practice tests (desktop and web-based) apart are their unique features. The AIF-C01 web-based practice exam is compatible with all operating systems and it can be taken on popular browsers like Chrome, Firefox, and Safari. The Amazon AIF-C01 desktop practice exam software is compatible with Windows computers. After validating the product's license, you won't need an active internet connection to use the desktop AWS Certified AI Practitioner (AIF-C01) practice test software.

Amazon AIF-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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
  • 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.

Amazon AWS Certified AI Practitioner Sample Questions (Q74-Q79):

NEW QUESTION # 74
What are tokens in the context of generative AI models?

  • A. Tokens are the mathematical representations of words or concepts used in generative AI models.
  • B. Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
  • C. Tokens are the specific prompts or instructions given to a generative AI model to generate output.
  • D. Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.

Answer: B


NEW QUESTION # 75
An AI practitioner is using a large language model (LLM) to create content for marketing campaigns. The generated content sounds plausible and factual but is incorrect.
Which problem is the LLM having?

  • A. Overfitting
  • B. Data leakage
  • C. Hallucination
  • D. Underfitting

Answer: C


NEW QUESTION # 76
An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.
Which strategy should the AI practitioner use?

  • A. Enable invocation logging in Amazon Bedrock.
  • B. Configure model invocation logging in Amazon EventBridge.
  • C. Configure AWS Audit Manager as the logs destination for the model.
  • D. Configure AWS CloudTrail as the logs destination for the model.

Answer: A


NEW QUESTION # 77
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

  • A. Learning rate
  • B. Root mean squared error (RMSE)
  • C. Accuracy
  • D. R-squared score

Answer: C


NEW QUESTION # 78
An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms.
What should the firm do when developing and deploying the LLM? (Select TWO.)

  • A. Apply prompt engineering techniques.
  • B. Adjust the temperature parameter of the model.
  • C. Modify the training data to mitigate bias.
  • D. Avoid overfitting on the training data.
  • E. Include fairness metrics for model evaluation.

Answer: C,E

Explanation:
I'll continue with more questions. Stay tuned!


NEW QUESTION # 79
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