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Amazon AIF-C01 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified AI Practitioner (AIF-C01)
Exam Number:AIF-C01
Available Languages:Simplified Chinese, Korean, Portuguese (Brazil), Spanish, English, Japanese
Related Certifications:AWS Certified Cloud Practitioner
Passing Score:700/1000
Certificate Validity Period:3 years
Exam Format:Multiple response, Multiple choice
Exam Price:$100 USD
Exam Duration:90 minutes
Real Exam Qty:65
Recommended Training:AWS Certified AI Practitioner Official Exam Guide
AWS Skill Builder - AI Practitioner Learning Plan
Exam Registration:AWS Certification Portal
AWS Training and Certification Registration
Sample Questions:Amazon AIF-C01 Sample Questions
Exam Way:Online proctored exam or in-person test center
Pre Condition:No formal prerequisites required. Recommended: basic understanding of cloud computing and general AI/ML concepts.
Official Syllabus URL:https://aws.amazon.com/certification/certified-ai-practitioner/

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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
  • 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
  • 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 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 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.

Amazon AWS Certified AI Practitioner Sample Questions (Q403-Q408):

NEW QUESTION # 403
HOTSPOT
Select the correct AI term from the following list for each statement. Each AI term should be selected one time. (Select THREE.)
* AI
* Deep learning
* ML

Answer:

Explanation:


NEW QUESTION # 404
A company is training its employees on how to structure prompts for foundation models.
Select the correct prompt engineering technique from the following list for each prompt template. Each prompt engineering technique should be selected onetime. (SelectTHREE.)
* Chain-of-thought reasoning
* Few-shot learning
* Zero-shot learning

Answer:

Explanation:


NEW QUESTION # 405
Which type of ML technique provides the MOST explainability?

Answer: C


NEW QUESTION # 406
Which term refers to the Instructions given to foundation models (FMs) so that the FMs provide a more accurate response to a question?

Answer: C


NEW QUESTION # 407
A company is introducing a new feature for its application. The feature will refine the style of output messages. The company will fine-tune a large language model (LLM) on Amazon Bedrock to implement the feature. Which type of data does the company need to meet these requirements?

Answer: B

Explanation:
* Fine-tuning requires paired input-output examples to teach the model how to respond to inputs with desired styled outputs.
* Single inputs (A) or outputs (B) are insufficient.
* Separate, unpaired samples (D) don't establish the input-output mapping.
# Reference:
AWS Documentation - Preparing data for fine-tuning FMs


NEW QUESTION # 408
......

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