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Amazon Web Services AIF-C01 Practice Test Questions Answers

Exam Code: AIF-C01 (Updated 87 Q&As with Explanation)
Exam Name: AWS Certified AI Practitioner Exam(AI1-C01)
Last Update: 16-Nov-2024
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Questions Include:

  • Single Choice: 83 Q&A's
  • Multiple Choice: 4 Q&A's

  • AIF-C01 Overview

    Amazon Web Services AIF-C01 Exam Overview

    Exam Detail Description
    Exam Title AWS Certified AI Practitioner
    Exam Code AIF-C01
    Exam Time 90 minutes
    Number of Questions 65
    Question Type Multiple-choice and multiple-answer
    Exam Languages English, Japanese, Korean, Simplified Chinese, French, German, Spanish, Portuguese

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    Amazon Web Services AIF-C01 Exam Topics Breakdown

    Topic Subtopics
    Fundamentals of Machine Learning * Machine Learning Basics * Supervised and Unsupervised Learning * Model Training and Evaluation * Bias and Fairness in ML
    Generative AI * Generative AI Concepts * Text-to-Text Generation * Text-to-Image Generation * Generative AI Use Cases and Limitations
    Applications of Foundation Models * Foundation Models and Their Applications * Fine-tuning Foundation Models * Prompt Engineering
    Data and AI * Data Ingestion and Preparation * Feature Engineering * Data Quality and Labeling
    AI Services on AWS * Amazon SageMaker * Amazon Comprehend * Amazon Rekognition * Amazon Transcribe * Amazon Polly * Amazon Lex * Amazon Personalize
    Security, Privacy, and Ethics * Security Best Practices for AI/ML * Privacy Considerations * Ethical AI and Responsible AI

    Amazon Web Services AIF-C01 AWS Certified AI Practitioner Practice Exam Questions and Answers

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    Amazon Web Services AIF-C01 Exam Dumps FAQs

    The AWS Certified AI Practitioner (AIF-C01) exam is designed to validate your understanding of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases on the AWS platform. This certification is suitable for individuals who want to demonstrate a broad knowledge of AI/ML and its applications, regardless of their specific job role.

    There are no particular requisites for taking this exam. Only the Amazon Web Services exam candidates should have required knowledge on the content of the Amazon Web Services AIF-C01 exam syllabus. They should also develop their hand-on exposure on the all topics.

    Key areas covered by the Amazon Web Services AIF-C01 exam:

    • AI, ML, and Generative AI Concepts: Understanding the fundamental concepts of AI, ML, and generative AI, including supervised and unsupervised learning, deep learning, and natural language processing. 
       
    • AWS Services for AI and ML: Familiarity with AWS services relevant to AI and ML, such as Amazon SageMaker, Amazon Comprehend, Amazon Rekognition, and Amazon Lex.
    • Data Preparation and Feature Engineering: Knowledge of data preprocessing techniques, feature extraction, and feature engineering for ML models.  
       
    • Model Building and Training: Understanding the process of building, training, and evaluating ML models, including hyperparameter tuning and model selection.
    • Model Deployment and Monitoring: Knowledge of deploying and monitoring ML models in production, including model retraining and continuous learning.
    • Ethical Considerations in AI and ML: Awareness of ethical issues related to AI and ML, such as bias, fairness, and privacy.

    Preparing for the Amazon Web Services AIF-C01 Exam:

    • Official AWS Training: Consider taking the official AWS Certified AI Practitioner course to gain in-depth knowledge and hands-on experience.
    • Practice Exams: Utilize practice exams and study materials to assess your knowledge and identify areas for improvement.  
       
    • Hands-on Experience: Gain practical experience by working with AWS AI and ML services in a lab environment or real-world projects.

    By successfully passing the AIF-C01 exam, you demonstrate your ability to apply AI and ML concepts to real-world problems using AWS services. 

     

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