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Amazon AIF-C01 Exam Syllabus Topics:

Topic	Details
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	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 3	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 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 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.

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Amazon AWS Certified AI Practitioner Sample Questions (Q11-Q16):

NEW QUESTION # 11
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. Purchase Provisioned Throughput for Amazon Bedrock.
B. Provide labeled data with the prompt field and the completion field.
C. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
D. Train the model on journals and textbooks.

Answer: B

NEW QUESTION # 12
A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible.
Which solution will meet these requirements?

A. Deploy optimized large language models (LLMs) on edge devices.
B. Deploy optimized small language models (SLMs) on edge devices.
C. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
D. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.

Answer: B

Explanation:
To achieve the lowest latency possible for inference on edge devices, deploying optimized small language models (SLMs) is the most effective solution. SLMs require fewer resources and have faster inference times, making them ideal for deployment on edge devices where processing power and memory are limited.
* Option A (Correct): "Deploy optimized small language models (SLMs) on edge devices": This is the correct answer because SLMs provide fast inference with low latency, which is crucial for edge deployments.
* Option B: "Deploy optimized large language models (LLMs) on edge devices" is incorrect because LLMs are resource-intensive and may not perform well on edge devices due to their size and computational demands.
* Option C: "Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices" is incorrect because it introduces network latency due to the need for communication with a centralized server.
* Option D: "Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices" is incorrect for the same reason, with even greater latency due to the larger model size.
AWS AI Practitioner References:
* Optimizing AI Models for Edge Devices on AWS: AWS recommends using small, optimized models for edge deployments to ensure minimal latency and efficient performance.

NEW QUESTION # 13
A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language.
Which solution will align the LLM response quality with the company's expectations?

A. Choose an LLM of a different size.
B. Increase the temperature.
C. Adjust the prompt.
D. Increase the Top K value.

Answer: C

Explanation:
Adjusting the prompt is the correct solution to align the LLM outputs with the company's expectations for short, specific language responses.
* Adjust the Prompt:
* Modifying the prompt can guide the LLM to produce outputs that are shorter and tailored to the desired language.
* A well-crafted prompt can provide specific instructions to the model, such as "Answer in a short sentence in Spanish."
* Why Option A is Correct:
* Control Over Output: Adjusting the prompt allows for direct control over the style, length, and language of the LLM outputs.
* Flexibility: Prompt engineering is a flexible approach to refining the model's behavior without modifying the model itself.
* Why Other Options are Incorrect:
* B. Choose an LLM of a different size: The model size does not directly impact the response length or language.
* C. Increase the temperature: Increases randomness in responses but does not ensure brevity or specific language.
* D. Increase the Top K value: Affects diversity in model output but does not align directly with response length or language specificity.

NEW QUESTION # 14
A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.
Which AWS service or feature will meet these requirements?

A. Internet gateway
B. Amazon Macie
C. AWS PrivateLink
D. Amazon CloudFront

Answer: C

Explanation:
AWS PrivateLink enables private connectivity between VPCs and AWS services without exposing traffic to the public internet. This feature is critical for meeting regulatory compliance standards that require isolation from public internet traffic.
* Option A (Correct): "AWS PrivateLink": This is the correct answer because it allows secure access to Amazon Bedrock and other AWS services from a VPC without internet access, ensuring compliance with regulatory standards.
* Option B: "Amazon Macie" is incorrect because it is a security service for data classification and protection, not for managing private network traffic.
* Option C: "Amazon CloudFront" is incorrect because it is a content delivery network service and does not provide private network connectivity.
* Option D: "Internet gateway" is incorrect as it enables internet access, which violates the VPC's no- internet-traffic policy.
AWS AI Practitioner References:
* AWS PrivateLink Documentation: AWS highlights PrivateLink as a solution for connecting VPCs to AWS services privately, which is essential for organizations with strict regulatory requirements.

NEW QUESTION # 15
A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteri a. The company wants to build and use an AI model responsibly to minimize bias that could negatively affect some customers.
Which actions should the company take to meet these requirements? (Select TWO.)

A. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.
B. Ensure that the model's inference time is within the accepted limits.
C. Detect imbalances or disparities in the data.
D. Evaluate the model's behavior so that the company can provide transparency to stakeholders.
E. Ensure that the model runs frequently.

Answer: C,D

NEW QUESTION # 16
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Exams AIF-C01 Torrent | AIF-C01 Test Preparation

Amazon AIF-C01 Exam Syllabus Topics:

100% Pass 2025 Amazon Pass-Sure AIF-C01: Exams AWS Certified AI Practitioner Torrent

Amazon AWS Certified AI Practitioner Sample Questions (Q11-Q16):

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