Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
Certification Provider: Microsoft
Corresponding Certification: Azure AI Engineer Associate
Over 52824+ Satisfied Customers
Instant Download Microsoft : AI-102日本語 Questions & Answers as PDF & Test Engine
Updated: Oct 22, 2026
No. of Questions: 425 Questions & Answers with Testing Engine
Download Limit: Unlimited
Instant Download: Upon successful payment, Our systems will automatically send the product you have purchased to your mailbox by email. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)
100% Money Back Guarantee
TestKingFree has an unprecedented 99.6% first time pass rate among our customers. 
We're so confident of our products that we provide no hassle product exchange.
- Best exam practice material
- Three formats are optional
- 10 years of excellence
- 365 Days Free Updates
- Learn anywhere, anytime
- 100% Safe shopping experience
AI-102日本語 Online Test Engine
- Online Tool, Convenient, easy to study.
- Instant Online Access AI-102日本語 Dumps
- Supports All Web Browsers
- AI-102日本語 Practice Online Anytime
- Test History and Performance Review
- Supports Windows / Mac / Android / iOS, etc.
- Try Online Engine Demo
- Total Questions: 425
- Updated on: Oct 22, 2026
- Price: $79.00
AI-102日本語 Desktop Test Engine
- Installable Software Application
- Simulates Real AI-102日本語 Exam Environment
- Builds AI-102日本語 Exam Confidence
- Supports MS Operating System
- Two Modes For AI-102日本語 Practice
- Practice Offline Anytime
- Software Screenshots
- Total Questions: 425
- Updated on: Oct 22, 2026
- Price: $79.00
AI-102日本語 PDF Practice Q&A's
- Printable AI-102日本語 PDF Format
- Prepared by Microsoft Experts
- Instant Access to Download AI-102日本語 PDF
- Study Anywhere, Anytime
- 365 Days Free Updates
- Free AI-102日本語 PDF Demo Available
- Download Q&A's Demo
- Total Questions: 425
- Updated on: Oct 22, 2026
- Price: $79.00
No matter your years in IT, the AI-102日本語 exam demands real preparation — TestKingFree supports newcomers and veterans alike with 425+ Q&As covering the Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) objectives, verified answers, and support that answers around the clock.
Microsoft AI-102日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Related Certifications: | Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure Data Scientist Associate Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Available Languages: | English, Japanese, French, German, Italian, Arabic (Saudi Arabia), Portuguese (Brazil), Spanish, Indonesian, Chinese (Simplified), Korean |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 (scaled score out of 1000) |
| Exam Duration: | 100 minutes |
| Exam Format: | Case studies, Hot area, Multiple select, Drag-and-drop, Multiple choice, Performance-based scenarios |
| Exam Price: | $165 USD (varies by region: £113 GBP, €126 EUR) |
| Certificate Validity Period: | 1 year (renewable via free online assessment) |
| Recommended Training: | Microsoft Learn Learning Paths for AI-102 AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
| Exam Registration: | Pearson VUE Scheduling Microsoft Certification Exam Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored (OnVUE) or onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102 |
Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Understand agent use cases and types - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration |
| Plan and manage an Azure AI solution | 20-25% | - Create and configure Azure AI resources - Select appropriate Microsoft Foundry Services - Monitor, optimize, and secure AI solutions - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Select suitable AI models |
| Implement natural language processing solutions | 15-20% | - Implement translation and summarization - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots - Customize and deploy NLP models |
| Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Implement model monitoring and feedback - Deploy and manage generative models - Integrate Azure OpenAI and other generative models - Orchestrate multiple models and containers |
| Implement computer vision solutions | 10-15% | - Process and index video content - Integrate vision capabilities into applications - Extract text and handwriting from images - Analyze images and detect objects/features - Build and deploy custom vision models |
| Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Ingest and process structured/unstructured data - Build knowledge bases and search indexes - Implement intelligent search and retrieval |
Preparing for AI-102日本語 Without Wasting Money
- Implement natural language processing solutions (15-20%)
- Implement generative AI solutions (15-20%)
- Implement an agentic solution (5-10%)
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) Sample Questions:
Resource1 という名前の Azure Al コンテンツ セーフティ リソースを含む Azure サブスクリプションがあります。
次の cURL コマンドを作成します。
以下の各文について、正しい場合は「はい」を選択してください。そうでない場合は「いいえ」を選択してください。
注意: 正しい選択ごとにポイントが加算されます。
Correct Answer:
Explanation:
The text value must use JSON-formatted text. No
The command will analyze inputted text and identify whether the text contains published song lyrics. Yes The Ocp-Apim-Subscription-Key value must contain the ID of the Azure subscription that hosts Resource1.
No
Comprehensive Detailed Explanation
The cURL calls the Protected Material detection endpoint:
POST {endpoint}/contentsafety/text:detectProtectedMaterial?api-version=2024-09-01.
This API expects a JSON body with a text property whose value is a plain string (the content to check). The body is JSON, but the text value itself is not required to be "JSON-formatted text"; it's just ordinary text inside a JSON payload. Hence, statement 1 is No . Microsoft Learn The Protected Material (text) feature "flags any known text content ... such as song lyrics , articles, recipes, and selected web content." Therefore, this command will analyze the input and can identify whether it contains published song lyrics. Statement 2 is Yes .
Ocp-Apim-Subscription-Key is the API (resource) key used to authenticate requests to Azure AI services or APIs fronted by API Management. It is not the Azure subscription ID . Authentication guidance explicitly states the header carries a resource key or token; API Management documentation identifies Ocp-Apim- Subscription-Key as the subscription key header. Therefore, statement 3 is No .
Microsoft Azure AI References
Detect Text Protected Material - REST API (endpoint, request/response schema): Microsoft Learn Protected material detection (concepts; includes song lyrics examples): Microsoft Learn What's new in Azure AI Content Safety (mentions protected material detection for lyrics): Microsoft Learn Azure AI services authentication (resource key in headers): Microsoft Learn API Management subscriptions (meaning of Ocp-Apim-Subscription-Key): Microsoft Learn
注: この問題は、同じシナリオを提示する一連の問題の一部です。一連の問題にはそれぞれ、定められた目標を満たす可能性のある独自の解答が含まれています。問題セットによっては、複数の正解が存在する場合もあれば、正解がない場合もあります。
このセクションの質問に回答した後は、その質問に戻ることはできません。そのため、これらの質問はレビュー画面に表示されません。
vm1 という Azure 仮想マシン上で実行される app1 という Web アプリを作成します。vm1 は、vnet1 という Azure 仮想ネットワーク上にあります。
service1 という名前の新しい Azure Cognitive Search サービスを作成する予定です。
パブリック インターネット経由でトラフィックをルーティングせずに、app1 が service1 に直接接続できることを確認する必要があります。
解決策: service1 とパブリック エンドポイントをデプロイし、vnet1 のネットワーク セキュリティ グループ (NSG) を構成します。
これは目標を満たしていますか?
- A. はい
- B. いいえ
Correct Answer: B 🗳️
Explanation: Only visible for TestKingFree members. You can sign-up / login (it's free).
次の展示に示すように、四半期ごとの現在の売上合計の視覚化を作成する必要があります。
CowerBlDesktopで何を作成する必要がありますか;1
- A. 分解ツリー
- B. ウォーターフォールチャート
- C. リボンチャート
- D. 棒グラフ
Correct Answer: B 🗳️
Explanation: Only visible for TestKingFree members. You can sign-up / login (it's free).
Azure Al Language サービスを使用して音声を翻訳するアプリを構築しています。
音声を英語からイタリア語に翻訳するようにアプリを設定する必要があります。
コードをどのように完成させるべきですか? 回答するには、回答エリアで適切なオプションを選択してください。
注意: 正しい選択ごとに 1 ポイントが付与されます。
Correct Answer:
Explanation:
First blank: speech_recognition_language
Second blank: add_target_language
speech_translation_config = speechsdk.translation.SpeechTranslationConfig( subscription=os.environ.get( ' SPEECH_KEY ' ), region=os.environ.get( ' SPEECH_REGION ' ) )
# Source (recognition) language: English (US)
speech_translation_config.speech_recognition_language = " en-US "
# Target translation language: Italian
speech_translation_config.add_target_language( " it " )
audio_config = speechsdk.audio.AudioConfig(use_default_microphone= True ) recognizer = speechsdk.translation.TranslationRecognizer( translation_config=speech_translation_config, audio_config=audio_config ) Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation To translate speech, configure a SpeechTranslationConfig with (1) the recognition language of the input audio and (2) one or more target languages for translation. In Python, you set the input language with the speech_recognition_language property (e.g., " en-US " ), and you add a target with add_target_language( " < locale > " ) (e.g., " it " for Italian). This exactly matches the SDK guidance and examples for speech translation. Microsoft Learn speech_recognition_language specifies the locale used by the recognizer to understand the spoken input.
add_target_language( " it " ) adds Italian as a translation output language.
Microsoft References
How to translate speech with the Speech SDK (Python examples show translation_config.
speech_recognition_language = from_language and translation_config.add_target_language(...) ). Microsoft Learn SpeechTranslationConfig (Python) reference - add_target_language(language: str) . Microsoft Lea rn Recognize speech (property usage for speech_recognition_language ). Microsoft Learn Language support for Speech service (locales and codes for recognition/translation)
AH という名前の Azure OpenA1 リソースを含む Azure サブスクリプションがあります。
AM を使用してプレス リリースを書き込む App1 というアプリを構築する予定です。
アプリケーション用の Azure OpenA1 モデルをデプロイする必要があります。ソリューションでは開発の労力を最小限に抑える必要があります。
Azure OpenAI Studio で順番に実行する必要がある 3 つのアクションはどれですか。回答するには、適切なアクションをアクション リストから回答領域に移動し、正しい順序に並べます。
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
The requirement:
You have an Azure OpenAI resource.
You want to build an app (App1) that writes press releases.
The solution must minimize development effort.
Step 1 - Select the model deployment
Since press release generation requires natural language generation, the best choice is GPT-3.5 Turbo.
The text-embedding-ada-002 model is used for semantic search and embeddings, not text generation, so it's not appropriate here.
Step 2 - Apply a system message template
Azure OpenAI Studio provides pre-built system message templates to speed up development.
For writing press releases, the correct template is the Marketing Writing Assistant template.
This minimizes development effort since it already configures prompt engineering for marketing copywriting.
Step 3 - Deploy the solution
Once the deployment and template are configured, you deploy the solution to a new web app so it can be used as App1.
Correct Sequence:
Create a deployment that uses the GPT-3.5 Turbo model.
Apply the Marketing Writing Assistant system message template.
Deploy the solution to a new web app.
Microsoft References
Azure OpenAI Studio - Getting Started
Azure OpenAI GPT-3.5 models
Azure OpenAI Studio system message templates
Viewing page 1 out of 85 pages.
Viewing questions 1-5 out of 425 questions.
0 Customer ReviewsCustomers Feedback (* Some similar or old comments have been hidden.)
Instant Download AI-102日本語
After Payment, our system will send you the products you purchase in mailbox in a minute after payment. If not received within 2 hours, please contact us.
365 Days Free Updates
Free update is available within 365 days after your purchase. After 365 days, you will get 50% discounts for updating.
Money Back Guarantee
Full refund if you fail the corresponding exam in 60 days after purchasing. And Free get any another product.
Security & Privacy
We respect customer privacy. We use McAfee's security service to provide you with utmost security for your personal information & peace of mind.
