P.S. JpexamがGoogle Driveで共有している無料かつ新しいAI-900ダンプ：https://drive.google.com/open?id=1-U33yWwQncvi3Qax2Z2-YedWfdfEkn33
皆様はAI-900試験を準備するとき、我々のサイトで最新の問題集を参考として練習することができます。そうしたら、AI-900試験の復習の中で多くの時間を節約することができます。Microsoft試験は複雑ではなく、弊社の問題集でよく復習すれば簡単です。我々の問題集は受験生の合格を保証することができます。
| Section | Weight | Objectives |
|---|---|---|
| Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
| Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
| Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
Jpexamの実践教材は、学生だけでなくオフィスワーカーにも適用されます。 職場の退役軍人だけでなく、新しく採用された新人にも適用されます。 AI-900の学習教材は、非常にシンプルで理解しやすい言語を使用して、すべての人が学習して理解できるようにします。 また、AI-900の実際のテストでは、教科書を読むのがつまらないことを回避できますが、Microsoft演習を行う過程で重要な知識をすべて習得できます。 そして、AI-900試験問題の高い合格率は98％以上です。 Microsoft Azure AI Fundamentals学習ガイドを試してみませんか？
質問 # 255
You are building a Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?
正解：A
解説：
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Identify features of conversational AI workloads on Azure", a Language Understanding (LUIS) model is designed to interpret natural language input by identifying intents (the purpose of an utterance) and entities (specific data items in the utterance).
Every LUIS model automatically includes a special intent called "None." This intent is used to handle utterances that do not fall into any of the model's defined intents. Adding examples of irrelevant or out-of- scope utterances to the None intent helps the model learn to recognize when a user's input does not match any existing categories.
For example, if your e-commerce chatbot handles intents such as "TrackOrder" and "CancelOrder," but a user says "What's your favorite color?", that input should be mapped to the None intent so the bot can respond appropriately, such as "I'm not sure how to answer that." The AI-900 curriculum emphasizes that including diverse None intent examples improves model robustness and prevents false matches, thereby enhancing user experience.
Other options are incorrect:
* A. Test the model by using new utterances: Testing is important but does not define how to detect out- of-scope inputs.
* C. Create a prebuilt task entity: Entities extract specific data but are unrelated to intent classification.
* D. Create a new model: Unnecessary; handling out-of-scope utterances is done within the same model via the None intent.
# Final answer: B. Add utterances to the None intent
質問 # 256
Which format should you use to send requests to a REST API endpoint for Azure OpenAI?
正解：C
質問 # 257
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Yes
Content Moderator is part of Microsoft Cognitive Services allowing businesses to use machine assisted moderation of text, images, and videos that augment human review.
The text moderation capability now includes a new machine-learning based text classification feature which uses a trained model to identify possible abusive, derogatory or discriminatory language such as slang, abbreviated words, offensive, and intentionally misspelled words for review.
Box 2: No
Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Box 3: Yes
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Reference:
https://azure.microsoft.com/es-es/blog/machine-assisted-text-classification-on-content-moderator-public-preview/
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
質問 # 258
You need to identify street names based on street signs in photographs.
Which type of computer vision should you use?
正解：B
質問 # 259
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation:
質問 # 260
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JpexamのAI-900には何か品質問題があることを見つければ、あるいは試験に合格しなかったのなら、弊社が無条件で全額返金することを約束します。Jpexamは専門的にMicrosoftのAI-900試験の最新問題と解答を提供するサイトで、AI-900についての知識をほとんどカバーしています。
AI-900対策学習: https://www.jpexam.com/AI-900_exam.html
ちなみに、Jpexam AI-900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=1-U33yWwQncvi3Qax2Z2-YedWfdfEkn33