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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Price: | $165 USD |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Exam Format: | Case studies, Active screen questions, Multiple-choice, Drag-and-drop |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 (on a scale of 1-1000) |
| Available Languages: | Chinese (Simplified), Japanese, English, Korean |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
お支払い後、最初にAI-102練習資料を受け取りたい場合があります。心配しないで。支払いが完了するまで、オンラインワーカーが教材の注文を迅速に処理します。支払いプロセス全体は数秒続きます。それに加えて、AI-102学習ガイドについて知りたいことを尋ねることができます。質問を送信すると、すぐに詳細な説明が表示されます。 AI-102学習教材の練習中に問題に遭遇した場合でも、問題の解決もお手伝いします。 AI-102ラーニングガイドでお客様の問題に対応いたします。
AI-102試験は、Azureサービスを使用するAIソリューションを設計および実装する責任がある専門家を対象としています。この試験は、AIスキルと知識を拡大したい開発者、アーキテクト、およびデータサイエンティストにとって理想的です。試験は、AIソリューションの設計、AIワークフローの実装、機械学習モデルの作成と展開、および他のAzureサービスとのAIソリューションの統合など、様々なトピックをカバーしています。
Microsoft AI-102（Microsoft Azure AIソリューションの設計と実装）試験は、Microsoft Azureを使用してAIソリューションを設計および実装する候補者のスキルと知識をテストする認定試験です。この試験は、Azure AIサービスとツールで作業経験があり、Microsoftから公式の認定を取得したい個人を対象としています。
質問 # 400
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Cognitive Search service.
During the past 12 months, query volume steadily increased.
You discover that some search query requests to the Cognitive Search service are being throttled.
You need to reduce the likelihood that search query requests are throttled.
Solution: You add indexes.
Does this meet the goal?
正解：A
解説：
Explanation
Instead, you could migrate to a Cognitive Search service that uses a higher tier.
Note: A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis
質問 # 401
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：
Explanation:
* Query successful
An analysis of the provided code segment is needed to determine the truth value of the statements, which are not explicitly provided in the prompt. Since I don ' t have the statements, I will analyze the code and infer common types of questions related to this code structure to provide a helpful response.
Code Analysis The code segment is written in a C#-like syntax and iterates through a collection named brands
.
C#
foreach ( var brand in brands)
{
if (brand.Confidence > = .75 )
Console.WriteLine( $ " Logo of {brand.Name} between {brand.Rectangle.X} , {brand.Rectangle.Y} and
{brand.Rectangle.W} , {brand.Rectangle.H} " );
}
* Iteration: The foreach (var brand in brands) loop processes each item (presumably a detected brand or logo) in the brands collection.
* Filtering/Condition: The if (brand.Confidence > = .75) statement acts as a filter. It only processes a brand if its associated Confidence value (likely a floating-point number between 0.0 and 1.0) is greater than or equal to 0.75 .
* Output: For brands that pass the confidence threshold, a line of text is printed to the console using string interpolation ( $ " " ).
* It reports the Name of the brand.
* It reports the bounding box coordinates, presumably X (horizontal position), Y (vertical position), W (width), and H (height), which are properties of the nested brand.Rectangle object.
質問 # 402
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You build a language model by using Conversational Language Understanding. The language model is used to search for information on a contact list by using an intent named Findcontact. A conversational expert provides you with the following list of phrases to use for training:
- Find contacts in London.
- Who do I know in Seattle?
- Search for contacts in Ukraine.
You need to implement the phrase list in Conversational Language Understanding.
Solution: You create a new utterance for each phrase in the FindContact intent.
Does this meet the goal?
正解：A
解説：
https://learn.microsoft.com/en-us/azure/cognitive-services/luis/concepts/application- design#create-example-utterances-for-each-intent To start, avoid creating too many utterances for each intent. Once you have determined the intents you need for your app, create 15 to 30 example utterances per intent. Each utterance should be different from the previously provided utterances. Include a variety of word counts, word choices, verb tenses, and punctuation.
質問 # 403
Which property of a transactional workload guarantees that each transaction is treated as a single unit that either succeeds completely or tails completely?
正解：D
質問 # 404
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：
Explanation
Text Description automatically generated
Text Description automatically generated
Box 1: name.en
Box 2: "$when": "${stockLevel != 'OK'}"
Product displays must include images and warnings when stock levels are low or out of stock.
Box 3:image.altText.en
質問 # 405
......
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