AIF-C01최신인증시험대비자료 - AIF-C01시험패스

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Amazon AIF-C01 시험요강:

주제	소개
주제 1	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.
주제 2	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.
주제 3	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.
주제 4	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.
주제 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.

>> AIF-C01최신 인증시험 대비자료 <<

최근 인기시험 AIF-C01최신 인증시험 대비자료 덤프데모 다운받기

최근 Amazon인증 AIF-C01시험이 IT업계에서 제일 높은 인지도를 가지고 있습니다.바라만 보지 마시고Amazon인증 AIF-C01시험에 도전해보세요. Pass4Test 의 Amazon인증 AIF-C01덤프로 시험준비공부를 하시면 한방에 시험패스 가능합니다. Amazon인증 AIF-C01덤프로 자격증취득에 가까워지고 나아가서는 IT업계에서 인정을 받는 열쇠를 소유한것과 같다고 할수 있습니다.

최신 AWS Certified AI AIF-C01 무료샘플문제 (Q72-Q77):

질문 # 72
A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?

A. Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
B. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
C. Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
D. Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.

정답：C

설명：
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질문 # 73
Which functionality does Amazon SageMaker Clarify provide?

A. Documents critical details about ML models
B. Identifies potential bias during data preparation
C. Integrates a Retrieval Augmented Generation (RAG) workflow
D. Monitors the quality of ML models in production

정답：B

질문 # 74
A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. 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. Ensure that the model runs frequently.
B. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.
C. Ensure that the model's inference time is within the accepted limits.
D. Detect imbalances or disparities in the data.
E. Evaluate the model's behavior so that the company can provide transparency to stakeholders.

정답：D,E

설명：
To build an AI model responsibly and minimize bias, it is essential to ensure fairness and transparency throughout the model development and deployment process. This involves detecting and mitigating data imbalances and thoroughly evaluating the model's behavior to understand its impact on different groups.
* Option A (Correct): "Detect imbalances or disparities in the data": This is correct because identifying and addressing data imbalances or disparities is a critical step in reducing bias. AWS provides tools like Amazon SageMaker Clarify to detect bias during data preprocessing and model training.
* Option C (Correct): "Evaluate the model's behavior so that the company can provide transparency to stakeholders": This is correct because evaluating the model's behavior for fairness and accuracy is key to ensuring that stakeholders understand how the model makes decisions.
Transparency is a crucial aspect of responsible AI.
* Option B: "Ensure that the model runs frequently" is incorrect because the frequency of model runs does not address bias.
* Option D: "Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate" is incorrect because ROUGE is a metric for evaluating the quality of text summarization models, not for minimizing bias.
* Option E: "Ensure that the model's inference time is within the accepted limits" is incorrect as it relates to performance, not bias reduction.
AWS AI Practitioner References:
* Amazon SageMaker Clarify: AWS offers tools such as SageMaker Clarify for detecting bias in datasets and models, and for understanding model behavior to ensure fairness and transparency.
* Responsible AI Practices: AWS promotes responsible AI by advocating for fairness, transparency, and inclusivity in model development and deployment.

질문 # 75
A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.
Which action must the company take to use the custom model through Amazon Bedrock?

A. Purchase Provisioned Throughput for the custom model.
B. Grant access to the custom model in Amazon Bedrock.
C. Register the model with the Amazon SageMaker Model Registry.
D. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.

정답：D

질문 # 76
A company has thousands of customer support interactions per day and wants to analyze these interactions to identify frequently asked questions and develop insights.
Which AWS service can the company use to meet this requirement?

A. Amazon Lex
B. Amazon Comprehend
C. Amazon Transcribe
D. Amazon Translate

정답：B

설명：
Amazon Comprehend is the correct service to analyze customer support interactions and identify frequently asked questions and insights.
* Amazon Comprehend:
* A natural language processing (NLP) service that uses machine learning to uncover insights and relationships in text.
* Capable of extracting key phrases, detecting entities, analyzing sentiment, and identifying topics from text data, making it ideal for analyzing customer support interactions.
* Why Option B is Correct:
* Text Analysis Capabilities: Can process large volumes of text to identify common topics, phrases, and sentiment, providing valuable insights.
* Suitable for Customer Support Analysis: Specifically designed to understand the content and meaning of text, which is key for identifying frequently asked questions.
* Why Other Options are Incorrect:
* A. Amazon Lex: Used for building conversational interfaces, not for text analysis.
* C. Amazon Transcribe: Converts speech to text but does not perform text analysis.
* D. Amazon Translate: Used for translating text between languages, not for analyzing content.

질문 # 77
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경쟁율이 점점 높아지는 IT업계에 살아남으려면 국제적으로 인증해주는 IT자격증 몇개쯤은 취득해야 되지 않을가요? Amazon AIF-C01시험으로부터 자격증 취득을 시작해보세요. Amazon AIF-C01 덤프의 모든 문제를 외우기만 하면 시험패스가 됩니다. Amazon AIF-C01덤프는 실제 시험문제의 모든 유형을 포함되어있어 적중율이 최고입니다.

AIF-C01시험패스: https://www.pass4test.net/AIF-C01.html