ちなみに、CertShiken AIF-C01の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1Avbpne_aEdRk9GrSMeHE6U__87ojH1S3
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| Certification Vendor: | Amazon AWS |
|---|---|
| Exam Name: | AWS Certified AI Practitioner |
| Exam Number: | AIF-C01 |
| Certificate Validity Period: | 3 years |
| Exam Price: | 100 USD |
| Real Exam Qty: | 65 (50 scored, 15 unscored) |
| Exam Format: | Multiple choice, Ordering, Multiple response |
| Related Certifications: | AWS Certified Cloud Practitioner AWS Certified Machine Learning – Specialty |
| Available Languages: | Traditional Chinese, Korean, Japanese, English, Simplified Chinese |
| Passing Score: | 700 (scaled score 100–1000) |
| Exam Duration: | 90 minutes |
| Recommended Training: | AWS Certified AI Practitioner Official Training AWS Skill Builder - AI Practitioner Learning Path |
| Exam Registration: | AWS Certification Registration Pearson VUE Scheduling |
| Sample Questions: | Amazon AIF-C01 Sample Questions |
| Exam Way: | Online proctored or testing center delivery |
| Pre Condition: | No required prerequisites; recommended basic understanding of cloud computing and general IT concepts |
| Official Syllabus URL: | https://docs.aws.amazon.com/aws-certification/latest/ai-practitioner-01/ai-practitioner-01.html |
AIF-C01認証試験に合格することは他の世界の有名な認証に合格して国際の承認と受け入れを取ることと同じです。AIF-C01認定試験もIT領域の幅広い認証を取得しました。世界各地でAIF-C01試験に受かることを通じて自分のキャリアをもっと向上させる人々がたくさんいます。CertShikenで、あなたは自分に向いている製品をどちらでも選べます。
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質問 # 354
A company has multiple datasets that contain historical dat
a. The company wants to use ML technologies to process each dataset.
Select the correct ML technology from the following list for each dataset. Select each ML technology one time or not at all. (Select THREE.) Computer vision Natural language processing (NLP) Reinforcement learning Time series forecasting
正解：
解説：
質問 # 355
A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summarize some books?
正解：B
解説：
Comprehensive and Detailed
Foundation models have a context window (max tokens), which limits the size of the input text (prompt + instructions).
If the input (e.g., a very long book) exceeds this limit, the model cannot process it, causing failure.
Temperature (A) and Top P (C) control randomness, not input size.
Fine-tuning (B) is irrelevant to input truncation failures.
Reference:
AWS Documentation - Amazon Bedrock Model Parameters (context size limits)
質問 # 356
An AI practitioner is determining the appropriate data type for various use cases.
Select the correct data type from the following list for each use case. Select each data type one time.
正解：
解説：
質問 # 357
A hospital wants to use a generative AI solution with speech-to-text functionality to help improve employee skills in dictating clinical notes.
正解：A
解説：
Comprehensive and Detailed
AWS HealthScribe provides speech-to-text and medical documentation generation, specifically designed for healthcare applications.
Amazon Polly is text-to-speech, not speech-to-text.
Amazon Rekognition is computer vision.
Amazon Q Developer is a generative AI assistant for developers, not healthcare.
Reference:
AWS Documentation - AWS HealthScribe
質問 # 358
Which scenario indicates that an ML model is overfitting?
正解：D
解説：
Comprehensive and Detailed Explanation (AWS AI documents):
Overfitting occurs when an ML model learns patterns too closely from training data, including noise, and fails to generalize to unseen data. According to AWS ML fundamentals, a key indicator of overfitting is high training accuracy combined with reduced accuracy on new or test data.
Option A directly reflects this behavior: the model performs well during training but loses accuracy when evaluated on new data, which is a textbook symptom of overfitting.
Why the other options are not overfitting:
* B describes an under-featured model (underfitting risk).
* C indicates poor data representativeness, not overfitting.
* D reflects limited feature selection, which may lead to underfitting or bias, not overfitting.
AWS AI Study Guide References:
* AWS Machine Learning concepts: bias vs. variance
* AWS training and evaluation best practices
質問 # 359
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AIF-C01復習問題集: https://www.certshiken.com/AIF-C01-shiken.html
ちなみに、CertShiken AIF-C01の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1Avbpne_aEdRk9GrSMeHE6U__87ojH1S3