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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Format: | Drag-and-drop, Active screen questions, Case studies, Multiple-choice |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Passing Score: | 700 (on a scale of 1-1000) |
| Exam Price: | $165 USD |
| Exam Duration: | 120 minutes |
| Available Languages: | Korean, English, Japanese, Chinese (Simplified) |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| 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/ |
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In order to prepare for the AI-102 certification exam, candidates can take advantage of a number of resources provided by Microsoft. This includes online courses, practice exams, and study guides. Additionally, candidates can gain hands-on experience by working on real-world AI projects on the Azure platform. By combining theoretical knowledge with practical experience, candidates can ensure they are fully prepared to pass the exam and demonstrate their skills in designing and implementing AI solutions on Azure.
Microsoft AI-102 Certification Exam is an excellent opportunity for professionals to showcase their expertise in designing and implementing AI solutions using Microsoft Azure. By passing AI-102 exam, you will demonstrate your skills and knowledge to build AI applications that can meet the needs of businesses. Designing and Implementing a Microsoft Azure AI Solution certification will help you stand out in the job market and advance your career as an AI engineer, data scientist, or developer.
NEW QUESTION # 363
You create five bots by using Microsoft Bot Framework Composer.
You need to make a single bot available to users that combines the bots. The solution must support dynamic routing to the bots based on user input.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,C,D
NEW QUESTION # 364
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.
Answer:
Explanation:
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
NEW QUESTION # 365
You plan to build a chatbot to support task tracking.
You create a Conversational Language Understanding service named Iu1.
You need to build a Conversational Language Understanding model to Integrate into the chatbot. The solution must minimize development time to build the model.
Which four 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.
Answer:
Explanation:
1 - Add an new application.
2 - Add example utterances.
3 - Train the application.
4 - Publish the application.
NEW QUESTION # 366
You have an Azure subscription that contains an Azure OpenAI resource named AH.
You need to analyze an image to obtain a text descnption.
Which four actions should you perform in sequence from Azure OpenAI Studio? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
NEW QUESTION # 367
You are building a multilingual chatbot.
You need to send a different answer for positive and negative messages.
Which two Text Analytics APIs should you use? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative",
"neutral" and "positive") and confidence scores at the sentence and document-level.
D: The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- sentiment-analysis?tabs=version-3-1
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- language-detection
NEW QUESTION # 368
......
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