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[General] Popular AIF-C01 Exams & Correct AIF-C01 Exam Topics Spend You Little Time an

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【General】 Popular AIF-C01 Exams & Correct AIF-C01 Exam Topics Spend You Little Time an

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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
  • 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 3
  • 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 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 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 (Q258-Q263):NEW QUESTION # 258
Which scenario describes a potential risk and limitation of prompt engineering In the context of a generative AI model?
  • A. Prompt engineering does not ensure that the model will consistently generate highly reliable outputs when working with real-world data.
  • B. Properly designed prompts reduce but do not eliminate the risk of data poisoning or model hijacking.
  • C. Prompt engineering does not ensure that the model always produces consistent and deterministic outputs, eliminating the need for validation.
  • D. Prompt engineering could expose the model to vulnerabilities such as prompt injection attacks.
Answer: D

NEW QUESTION # 259
Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large language model (LLM)?
  • A. Retrieval Augmented Generation (RAG)
  • B. One-shot prompting
  • C. Prompt chaining
  • D. Tree of thoughts
Answer: D

NEW QUESTION # 260
A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text.
Which type of model meets this requirement?
  • A. Prescriptive ML models
  • B. Topic modeling
  • C. Clustering models
  • D. BERT-based models
Answer: D

NEW QUESTION # 261
A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data. Which type of learning should the company use to train the model?
  • A. Supervised learning.
  • B. Reinforcement learning.
  • C. Active learning.
  • D. Unsupervised learning.
Answer: A
Explanation:
Supervised learning is appropriate when the dataset is labeled. The model uses this data to learn patterns and classify images. Unsupervised learning, reinforcement learning, and active learning are not suitable since they either require unlabeled data or different problem settings. References: AWS Machine Learning Best Practices.

NEW QUESTION # 262
A manufacturing company wants to create product descriptions in multiple languages.
Which AWS service will automate this task?
  • A. Amazon Transcribe
  • B. Amazon Kendra
  • C. Amazon Polly
  • D. Amazon Translate
Answer: D
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 # 263
......
For the AWS Certified AI Practitioner (AIF-C01) web-based practice exam no special software installation is required. because it is a browser-based AIF-C01 practice test. The web-based AIF-C01 practice exam works on all operating systems like Mac, Linux, iOS, Android, and Windows. In the same way, IE, Firefox, Opera and Safari, and all the major browsers support the web-based Amazon AIF-C01 Practice Test. So it requires no special plugins. The web-based AIF-C01 practice exam software is genuine, authentic, and real so feel free to start your practice instantly with AIF-C01 practice test.
AIF-C01 Exam Topics: https://www.dumpsvalid.com/AIF-C01-still-valid-exam.html
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