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Amazon AIF-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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 4

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 5

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.

Amazon AWS Certified AI Practitioner Sample Questions (Q70-Q75):

NEW QUESTION # 70
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. PartyRock, an Amazon Bedrock Playground
B. Amazon Personalize
C. Amazon SageMaker endpoints
D. Amazon SageMaker JumpStart

Answer: D

Explanation:
Amazon SageMaker JumpStart is the correct service for quickly deploying and consuming a foundation model (FM) within a team's VPC.
* Amazon SageMaker JumpStart:
* Provides access to a wide range of pre-trained models and solutions that can be easily deployed and consumed within a VPC.
* Designed to simplify and accelerate the deployment of machine learning models, including foundation models.
* Why Option B is Correct:
* Rapid Deployment: JumpStart allows for quick deployment of models with minimal configuration, directly within a secure VPC environment.
* Ease of Use: Provides a user-friendly interface to select and deploy models, reducing the time to value.
* Why Other Options are Incorrect:
* A. Amazon Personalize: Focuses on creating personalized recommendations, not deploying foundation models.
* C. PartyRock: Not a recognized AWS service.
* D. Amazon SageMaker endpoints: Endpoints are for deploying specific models, not a feature for quickly starting with pre-trained foundation models.

NEW QUESTION # 71
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.
Which solution meets these requirements?

A. Develop a multi-language translation system.
B. Develop a summarization chatbot.
C. Create a recommendation engine.
D. Build an automatic named entity recognition system.

Answer: B

Explanation:
A summarization chatbot is ideal for extracting key points from legal documents. Large language models (LLMs) can be used to summarize complex texts, such as legal documents, making them more accessible and understandable.
* Option C (Correct): "Develop a summarization chatbot": This is the correct answer because a summarization chatbot uses LLMs to condense and extract key information from text, which is precisely the requirement for reading and summarizing legal documents.
* Option A: "Build an automatic named entity recognition system" is incorrect because it focuses on identifying specific entities, not summarizing documents.
* Option B: "Create a recommendation engine" is incorrect as it is used to suggest products or content, not summarize text.
* Option D: "Develop a multi-language translation system" is incorrect because translation is unrelated to summarizing text.
AWS AI Practitioner References:
* Using LLMs for Text Summarization on AWS: AWS supports developing summarization tools using its AI services, including Amazon Bedrock.

NEW QUESTION # 72
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.
Which type of FM should the AI practitioner use to power the search application?

A. Multi-modal embedding model
B. Text embedding model
C. Image generation model
D. Multi-modal generation model

Answer: A

Explanation:
A multi-modal embedding model is the correct type of foundation model (FM) for powering a search application that handles queries containing both text and images.
* Multi-Modal Embedding Model:
* Can process and integrate different types of data (e.g., text and images) into a common representation space, enabling a unified search capability.
* Suitable for applications where queries or content involve multiple data modalities.
* Why Option A is Correct:
* Handles Multiple Modalities: Supports both text and image data, aligning with the application's requirement.
* Improves Search Relevance: Allows for more accurate and relevant search results across different types of input data.
* Why Other Options are Incorrect:
* B. Text embedding model: Only handles text data, not images.
* C. Multi-modal generation model: Focuses on generating outputs rather than embedding for search tasks.
* D. Image generation model: Only handles image data, not suitable for text queries.

NEW QUESTION # 73
A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation.
Which AWS service meets these requirements?

A. Amazon Elastic Block Store (Amazon EBS)
B. AWS Snowcone
C. Amazon Elastic File System (Amazon EFS)
D. Amazon S3

Answer: D

Explanation:
Amazon S3 is the optimal choice for storing and uploading datasets used for machine learning model validation and training. It offers scalable, durable, and secure storage, making it ideal for holding datasets required by Amazon Bedrock for validation purposes.
* Option A (Correct): "Amazon S3": This is the correct answer because Amazon S3 is widely used for storing large datasets that are accessed by machine learning models, including those in Amazon Bedrock.
* Option B: "Amazon Elastic Block Store (Amazon EBS)" is incorrect because EBS is a block storage service for use with Amazon EC2, not for directly storing datasets for Amazon Bedrock.
* Option C: "Amazon Elastic File System (Amazon EFS)" is incorrect as it is primarily used for file storage with shared access by multiple instances.
* Option D: "AWS Snowcone" is incorrect because it is a physical device for offline data transfer, not suitable for directly providing data to Amazon Bedrock.
AWS AI Practitioner References:
* Storing and Managing Datasets on AWS for Machine Learning: AWS recommends using S3 for storing and managing datasets required for ML model training and validation.

NEW QUESTION # 74
A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.
Which capabilities can the company show compliance for? (Select TWO.)

A. Threat detection
B. Auto scaling inference endpoints
C. Cost optimization
D. Data protection
E. Loosely coupled microservices

Answer: A,D

Explanation:
Let me know if you'd like to continue with any more questions or if you need further assistance!

NEW QUESTION # 75
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