AIF-C01 RELIABLE TEST SYLLABUS 100% PASS | THE BEST AMAZON AWS CERTIFIED AI PRACTITIONER LATEST TEST FEE PASS FOR SURE

AIF-C01 Reliable Test Syllabus 100% Pass | The Best Amazon AWS Certified AI Practitioner Latest Test Fee Pass for sure

AIF-C01 Reliable Test Syllabus 100% Pass | The Best Amazon AWS Certified AI Practitioner Latest Test Fee Pass for sure

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Amazon AIF-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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 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 (Q139-Q144):

NEW QUESTION # 139
A company wants to develop ML applications to improve business operations and efficiency.
Select the correct ML paradigm from the following list for each use case. Each ML paradigm should be selected one or more times. (Select FOUR.)
* Supervised learning
* Unsupervised learning

Answer:

Explanation:

Reference:
AWS AI Practitioner Learning Path: Module on Machine Learning Strategies Amazon SageMaker Developer Guide: Supervised and Unsupervised Learning (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html) AWS Documentation: Introduction to Machine Learning Paradigms (https://aws.amazon.com/machine-learning/)


NEW QUESTION # 140
A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.
Which type of bias is affecting the model output?

  • A. Observer bias
  • B. Measurement bias
  • C. Confirmation bias
  • D. Sampling bias

Answer: D

Explanation:
Sampling bias is the correct type of bias affecting the model output when it disproportionately flags people from a specific ethnic group.
* Sampling Bias:
* Occurs when the training data is not representative of the broader population, leading to skewed model outputs.
* In this case, if the model disproportionately flags people from a specific ethnic group, it likely indicates that the training data was not adequately balanced or representative.
* Why Option B is Correct:
* Reflects Data Imbalance: A biased sample in the training data could result in unfair outcomes, such as disproportionately flagging a particular group.
* Common Issue in ML Models: Sampling bias is a known problem that can lead to unfair or inaccurate model predictions.
* Why Other Options are Incorrect:
* A. Measurement bias: Involves errors in data collection or measurement, not sampling.
* C. Observer bias: Refers to bias introduced by researchers or data collectors, not the model's output.
* D. Confirmation bias: Involves favoring information that confirms existing beliefs, not relevant to model output bias.


NEW QUESTION # 141
A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams.
Which SageMaker feature meets these requirements?

  • A. Amazon SageMaker Feature Store
  • B. Amazon SageMaker Clarify
  • C. Amazon SageMaker Data Wrangler
  • D. Amazon SageMaker Model Cards

Answer: A


NEW QUESTION # 142
A manufacturing company wants to create product descriptions in multiple languages.
Which AWS service will automate this task?

  • A. Amazon Kendra
  • B. Amazon Transcribe
  • C. Amazon Translate
  • D. Amazon Polly

Answer: C

Explanation:
The manufacturing company needs to create product descriptions in multiple languages, which requires automated language translation. Amazon Translate is a fully managed service that uses machine learning to provide high-quality translation between languages, making it the ideal solution for this task.
Exact Extract from AWS AI Documents:
From the Amazon Translate Developer Guide:
"Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. It can be used to automatically translate text, such as product descriptions, into multiple languages to reach a global audience." (Source: Amazon Translate Developer Guide, Introduction to Amazon Translate) Detailed Explanation:
* Option A: Amazon TranslateThis is the correct answer. Amazon Translate automates the translation of text into multiple languages, directly addressing the company's need to create product descriptions in different languages.
* Option B: Amazon TranscribeAmazon Transcribe converts speech to text, which is unrelated to translating text into multiple languages. This option is incorrect.
* Option C: Amazon KendraAmazon Kendra is an intelligent search service that uses machine learning to provide answers from documents, not for translating text. This option is irrelevant.
* Option D: Amazon PollyAmazon Polly is a text-to-speech service that generates spoken audio from text, not for translating text into other languages. This option does not meet the requirements.
References:
Amazon Translate Developer Guide: Introduction to Amazon Translate (https://docs.aws.amazon.com
/translate/latest/dg/what-is.html)
AWS AI Practitioner Learning Path: Module on Natural Language Processing Services AWS Documentation: Language Translation with Amazon Translate (https://aws.amazon.com/translate/)


NEW QUESTION # 143
A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?

  • A. Training
  • B. Model deployment
  • C. Bias correction
  • D. Inference

Answer: D


NEW QUESTION # 144
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