AI-102問題一発合格させる問題集はAzure AI Engineer Associate認定で! [Q46-Q70]

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AI-102問題一発合格させる問題集はAzure AI Engineer Associate認定で!

AI-102練習テストPDF試験材料


Microsoft AI-102: マイクロソフトAzure AIソリューションの設計と実装の試験は、Microsoft Azure AIソリューションの設計と実装のスキルを証明するための正しい選択肢です。この試験は、Azureサービスとツールを使用してAIソリューションを設計および実装するためのすべての重要なトピックをカバーしています。この試験に合格することで、Microsoft認定:Azure AIエンジニアアソシエイト認定を取得し、雇用主に高く評価され、世界的に認知されます。


Microsoft AI-102試験に合格するためには、機械学習モデル、データ準備、特徴量エンジニアリング、モデルの選択など、AIの基礎について深い理解が必要です。また、AzureでAIソリューションを設計・実装する実践的な経験が必要であり、モデルのデプロイ、パフォーマンスのモニタリング、問題のトラブルシューティングも行える必要があります。


Microsoft AI-102認定試験は、Microsoft Azureプラットフォーム上でAIソリューションを設計・実装するスキルや知識を検証したいプロフェッショナル向けに設計されています。この試験は、Azureが提供する自然言語処理、コンピュータビジョン、音声認識などの様々なAIサービスやツールに焦点を当てています。この試験に合格することで、受験者はビジネスプロセスの改善、顧客体験の向上、革新の推進などを可能にするAIソリューションの設計・実装能力を証明することができます。

 

質問 # 46
Select the answer that correctly completes the sentence.

正解:

解説:

Explanation


質問 # 47
Match the Azure Cosmos DB APIs to the appropriate data structures.
To answer, drag the appropriate API from the column on the left to its data structure on the right. Each API may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

正解:

解説:


質問 # 48
You are building a solution that students will use to find references for essays. You use the following code to start building the solution.

For each of the following statements, select Yes is the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation


質問 # 49
Select the answer that correctly completes the sentence.

正解:

解説:

Explanation


質問 # 50
You run the following command.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

正解:

解説:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto


質問 # 51
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
Use a single key and endpoint to access multiple services.
Consolidate billing for future services that you might use.
Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation

Box 1: PUT
Sample Request: PUT
https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/test-rg/ Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/


質問 # 52
You run the following command.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

正解:

解説:

Explanation
Text Description automatically generated

Box 1: Yes
http://localhost:5000/status
Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:\output, located on container host Box 3: Yes
http://localhost:5000/swagger
The container provides a full set of documentation for the endpoints and a Try it out feature. With this feature, you can enter your settings into a web-based HTML form and make the query without having to write any code. After the query returns, an example CURL command is provided to demonstrate the HTTP headers and body format that's required.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto


質問 # 53
You are developing the shopping on-the-go project.
You need to build the Adaptive Card for the chatbot.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:


質問 # 54
Select the answer that correctly completes the sentence.

正解:

解説:


質問 # 55
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.

正解:

解説:


質問 # 56
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解:

解説:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview


質問 # 57
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:

Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview


質問 # 58
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation

Box 1: Object projection
Object projections are JSON representations of the enrichment tree that can be sourced from any node.
Box 2: File projection
File projections are similar to object projections and only act on the normalized_images collection.
Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview


質問 # 59
You are building a solution that students will use to find references for essays. You use the following code to start building the solution.

For each of the following statements, select Yes is the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

正解:

解説:


質問 # 60
You plan to use a Language Understanding application named app1 that is deployed to a container.
App1 was developed by using a Language Understanding authoring resource named lu1.
App1 has the versions shown in the following table.

You need to create a container that uses the latest deployable version of app1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)

正解:

解説:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto


質問 # 61
You have a Computer Vision resource named contoso1 that is hosted in the West US Azure region.
You need to use contoso1 to make a different size of a product photo by using the smart cropping feature.
How should you complete the API URL? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation
westus.api.cognitive.microsoft.com
generateThumbnail
https://docs.microsoft.com/en-us/rest/api/computervision/3.1/generate-thumbnail/generate-thumbnail#examples POST
https://westus.api.cognitive.microsoft.com/vision/v3.1/generateThumbnail?width=500&height=500&smartCropp Ocp-Apim-Subscription-Key: {API key}


質問 # 62
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解:

解説:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview


質問 # 63
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:

Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview


質問 # 64
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
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:

Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input


質問 # 65
Select the answer that correctly completes the sentence.

正解:

解説:


質問 # 66
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation

Box 1: LargeFaceListID
LargeFaceList: Add a face to a specified large face list, up to 1,000,000 faces.
Note: Given query face's faceId, to search the similar-looking faces from a faceId array, a face list or a large face list. A "faceListId" is created by FaceList - Create containing persistedFaceIds that will not expire. And a
"largeFaceListId" is created by LargeFaceList - Create containing persistedFaceIds that will also not expire.
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar


質問 # 67
You plan to use a Language Understanding application named app1 that is deployed to a container.
App1 was developed by using a Language Understanding authoring resource named lu1.
App1 has the versions shown in the following table.

You need to create a container that uses the latest deployable version of app1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)

正解:

解説:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto


質問 # 68
You are planning the product creation project.
You need to build the REST endpoint to create the multilingual product descriptions.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation

Box 1: api.cognitive.microsofttranslator.com
Translator 3.0: Translate. Send a POST request to:
https://api.cognitive.microsofttranslator.com/translate?api-version=3.0 Box 2: /translate Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate


質問 # 69
You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.

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:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-faces


質問 # 70
......

AI-102[2024年03月] 最新リリース] 試験問題あなたを必ず合格させます:https://jp.fast2test.com/AI-102-premium-file.html

AI-102解答AI-102無料サンプルには全てリアル試験:https://drive.google.com/open?id=1Tm-Qg-9i9Vcw9H431qxCYoKId6Y63R_W


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