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Amazon AIF-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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.

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Amazon AWS Certified AI Practitioner Sample Questions (Q446-Q451):

NEW QUESTION # 446
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?

Answer: C


NEW QUESTION # 447
Which term refers to the Instructions given to foundation models (FMs) so that the FMs provide a more accurate response to a question?

Answer: B


NEW QUESTION # 448
A company is building a generative AI application to help customers make travel reservations. The application will process customer requests and invoke the appropriate API calls to complete reservation transactions.
Which Amazon Bedrock resource will meet these requirements?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact AWS AI documents:
Amazon Bedrock Agents are designed to:
* Interpret user intent
* Plan multi-step actions
* Invoke APIs and backend services
* Complete transactional workflows
This makes Agents ideal for task-oriented applications such as travel reservations, where the system must:
* Understand customer requests
* Call reservation APIs
* Orchestrate end-to-end transactions
Why the other options are incorrect:
* Prompt routing (B) selects prompts or models but does not invoke APIs.
* Knowledge Bases (C) retrieve information but do not execute actions.
* Guardrails (D) enforce safety and compliance, not task execution.
AWS AI document references:
* Amazon Bedrock Agents Documentation
* Building Task-Oriented Generative AI Applications
* Foundation Model Orchestration on AWS


NEW QUESTION # 449
An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?

Answer: B


NEW QUESTION # 450
Which type of AI model makes numeric predictions?

Answer: A

Explanation:
The regression model is a fundamental type of supervised machine learning algorithm that is specifically designed to make numeric predictions. In regression tasks, the goal is to predict a continuous numerical value based on input features. This contrasts with classification, which predicts discrete labels.
* According to AWS documentation:
"Regression models are used for predicting a continuous value. Examples include predicting house prices, stock market prices, or customer credit limits." (Reference: AWS Machine Learning Foundations: Regression, AWS AI Practitioner Study Guide)
* Option A (Diffusion) relates to generative models and is not primarily used for numeric prediction.
* Option C (Transformer) is a neural network architecture, often used for sequence modeling tasks (e.g., NLP).
* Option D (Multi-modal) describes a model handling multiple data types, not specifically numeric prediction.
References:
AWS AI/ML Learning Path - Regression Models
AWS Certified AI Practitioner Study Guide (Pearson)


NEW QUESTION # 451
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