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試験の準備方法-高品質なAIF-C01対応受験試験-権威のあるAIF-C01最新関連参考書
Amazonは、コンピューターで勉強したい人もいれば、携帯電話で勉強したい人もいます。 AIF-C01の学習トレントは、iPod、携帯電話、コンピューターなど、ほぼすべての電子デバイスをサポートできるためです。 AWS Certified AI Practitioner急流を購入することを選択した場合、電子機器で学習教材を使用する機会があります。 AIF-C01テストトレントは、あなたが自分自身を改善し、想像を超えた進歩を遂げるのに役立つと信じています。 あなたが私たちのAIF-C01学習トレントを購入した場合、私たちのAWS Certified AI Practitioner学習教材があなたを失望させないことを確認することができます
IT業の多くの人がいくつか認証試験にパスしたくて、それなりの合格証明書が君に最大な上昇空間を与えます。この競争の激しい業界でとんとん拍子に出世させるのはAmazonのAIF-C01認定試験ですが、簡単にパスではありません。でもたくさんの方法があって、最も少ない時間をエネルギーをかかるのは最高です。
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AIF-C01最新関連参考書 & AIF-C01受験対策書
弊社のAmazonのAIF-C01勉強資料を利用したら、きっと試験を受けるための時間とお金を節約できます。It-PassportsのAmazonのAIF-C01問題集を買う前に、一部の問題と解答を無料にダウンロードすることができます。PDFのバージョンとソフトウェアのバージョンがありますから、ソフトウェアのバージョンを必要としたら、弊社のカスタマーサービススタッフから取得してください。
Amazon AWS Certified AI Practitioner 認定 AIF-C01 試験問題 (Q29-Q34):
質問 # 29
A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Which ML algorithm meets these requirements?
- A. Neural networks
- B. Logistic regression
- C. Decision trees
- D. Linear regression
正解：C
解説：
Decision trees are an interpretable machine learning algorithm that clearly documents the decision-making process by showing how each input feature affects the output. This transparency is particularly useful when explaining how the model arrives at a certain decision, making it suitable for classifying genes into categories.
Option A (Correct): "Decision trees": This is the correct answer because decision trees provide a clear and interpretable representation of how input features influence the model's output, making it ideal for understanding the inner mechanisms affecting predictions.
Option B: "Linear regression" is incorrect because it is used for regression tasks, not classification.
Option C: "Logistic regression" is incorrect as it does not provide the same level of interpretability in documenting decision-making processes.
Option D: "Neural networks" is incorrect because they are often considered "black boxes" and do not easily explain how they arrive at their outputs.
AWS AI Practitioner Reference:
Interpretable Machine Learning Models on AWS: AWS supports using interpretable models, such as decision trees, for tasks that require clear documentation of how input data affects output decisions.
質問 # 30
A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.
Which AWS service meets this requirement?
- A. Amazon Transcribe
- B. Amazon Lex
- C. Amazon Personalize
- D. Amazon Textract
正解：D
解説：
Amazon Textract is a service that automatically extracts text and data from scanned documents, including PDFs. It is the best choice for converting resumes from PDF format to plain text for further processing.
* Amazon Textract:
* Extracts text, forms, and tables from scanned documents accurately.
* Ideal for automating the process of converting PDF resumes into plain text format.
* Why Option A is Correct:
* Automation of Text Extraction: Textract is designed to handle large volumes of documents and convert them into machine-readable text, perfect for the company's need.
* Scalability and Efficiency: Supports scalability to handle a growing volume of resumes as the company expands.
* Why Other Options are Incorrect:
* B. Amazon Personalize: Used for creating personalized recommendations, not for text extraction.
* C. Amazon Lex: A service for building conversational interfaces, not for processing documents.
* D. Amazon Transcribe: Used for converting speech to text, not for extracting text from documents.
質問 # 31
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?
- A. R-squared score
- B. Learning rate
- C. Root mean squared error (RMSE)
- D. Accuracy
正解：D
解説：
Accuracy is the most appropriate metric to measure the performance of an image classification model. It indicates the percentage of correctly classified images out of the total number of images. In the context of classifying plant diseases from images, accuracy will help the company determine how well the model is performing by showing how many images were correctly classified.
* Option B (Correct): "Accuracy": This is the correct answer because accuracy measures the proportion of correct predictions made by the model, which is suitable for evaluating the performance of a classification model.
* Option A: "R-squared score" is incorrect as it is used for regression analysis, not classification tasks.
* Option C: "Root mean squared error (RMSE)" is incorrect because it is also used for regression tasks to measure prediction errors, not for classification accuracy.
* Option D: "Learning rate" is incorrect as it is a hyperparameter for training, not a performance metric.
AWS AI Practitioner References:
* Evaluating Machine Learning Models on AWS: AWS documentation emphasizes the use of appropriate metrics, like accuracy, for classification tasks.
質問 # 32
Which option is a characteristic of AI governance frameworks for building trust and deploying human- centered AI technologies?
- A. Expanding initiatives across business units to create long-term business value
- B. Overcoming challenges to drive business transformation and growth
- C. Developing policies and guidelines for data, transparency, responsible AI, and compliance
- D. Ensuring alignment with business standards, revenue goals, and stakeholder expectations
正解：C
解説：
AI governance frameworks aim to build trust and deploy human-centered AI technologies by establishing guidelines and policies for data usage, transparency, responsible AI practices, and compliance with regulations. This ensures ethical and accountable AI development and deployment.
Exact Extract from AWS AI Documents:
From the AWS Documentation on Responsible AI:
"AI governance frameworks establish trust in AI technologies by developing policies and guidelines for data management, transparency, responsible AI practices, and compliance with regulatory requirements, ensuring human-centered and ethical AI deployment." (Source: AWS Documentation, Responsible AI Governance) Detailed Explanation:
* Option A: Expanding initiatives across business units to create long-term business valueWhile expanding initiatives can drive value, it is not a core characteristic of AI governance frameworks focused on trust and human-centered AI.
* Option B: Ensuring alignment with business standards, revenue goals, and stakeholder expectationsAlignment with business goals is important but not specific to AI governance frameworks for building trust and ethical AI deployment.
* Option C: Overcoming challenges to drive business transformation and growthOvercoming challenges is a general business goal, not a defining characteristic of AI governance frameworks.
* Option D: Developing policies and guidelines for data, transparency, responsible AI, and complianceThis is the correct answer. This option directly describes the core components of AI governance frameworks that ensure trust and ethical AI deployment.
References:
AWS Documentation: Responsible AI Governance (https://aws.amazon.com/machine-learning/responsible-ai/) AWS AI Practitioner Learning Path: Module on AI Governance AWS Well-Architected Framework: Machine Learning Lens (https://docs.aws.amazon.com/wellarchitected
/latest/machine-learning-lens/)
質問 # 33
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
正解：
解説：
質問 # 34
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AIF-C01認定試験もIT領域の幅広い認証を取得しました、弊社の経験豊かなチームはあなたに最も信頼性の高いAmazon AIF-C01問題集備考資料を作成して提供します、また、仕事は私たちの生活で中心的な役割を果たしており、必要な証明書はワーカーの必要条件の不可欠な部分になります。
お客様は安心で弊社のAIF-C01模擬問題集を利用することができます。
