- Exam Code: AI-102
- Exam Name: Designing and Implementing a Microsoft Azure AI Solution
- Certification Provider: Microsoft
- Corresponding Certification:Azure AI Engineer Associate
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AI-102: Designing and Implementing an Azure AI Solution Exam Certified Professional salary
The average salary of a AI-102: Designing and Implementing an Azure AI Solution Exam Certified Expert in
- India - 20,00,327 INR
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Prerequisites
Before enrolling in the process of taking the AI-102 exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.
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The benefit of obtaining the AI-102: Designing and Implementing an Azure AI Solution Exam Certification
- AI-102 credential delivers higher earning potential and increased promotion opportunities because it shows a good understanding of designing and implementing an Azure AI Solution
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech |
| Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques |
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Monitor and optimize decision support solutions - Design and implement decision automation |
| Implement Computer Vision Solutions | 15-20% | - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision - Implement object detection and image classification - Process video and generate insights - Implement Azure AI Face service |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Design document processing pipelines - Implement semantic and vector search - Create custom skills for Azure AI Search |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named getTextToBeTranslated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
You are building an application that:
Uses Azure Translator service to translate text.
The text comes from getTextToBeTranslated() .
The text can be in many languages.
Requirement: the content must remain within the Americas Azure geography.
Output: must translate text into a single language (English in this case).
Step 1 - Choosing the correct endpoint
The Translator service provides region-specific endpoints.
For Americas geography, you must use the North America (NAM) endpoint:
https: //api-nam.cognitive.microsofttranslator.com/translate
Other options like api-apc (Asia Pacific) or api-nam.../detect are incorrect because:
/detect is used to identify the source language, not translate.
/transliterate is for script conversion, not translation.
We need the /translate path.
Step 2 - Setting the correct query parameter
To specify the target language, you must use the to query string parameter. Example:
?t o=en
Options like from=en or suggestedFrom=en are not correct here, because:
The text can be in many languages # we don't know the source language in advance.
Translator automatically detects the source if from is not specified.
We only need to define the target language.
Final Code Snippet (corrected)
var endpoint = " https://api-nam.cognitive.microsofttranslator.com/translate " ; var apiKey = " YOUR_SUBSCRIPTION_KEY " ; var text = getTextToBeTranslated(); var body = " [{ ' Text ' : ' " + text + " ' }] " ; var client = new HttpClient(); client.DefaultRequestHeaders.Add( " Ocp-Apim-Subscription-Key " , apiKey); var uri = endpoint + " ?to=en " ; HttpResponseMessage response; var content = new StringContent(body, Encoding.UTF8, " application/json " ); response = await client.PutAsync(uri, content); Correct Answer Endpoint: https://api-nam.cognitive.microsofttranslator.com/translate URI: ?to=en Microsoft References Translator v3.0 Reference Region-specific Translator endpoints
You ace developing an app that will use the Speech and language APIs.
You need to provision resources for the app. The solution must ensure that each service is accessed by using a single endpoint and credential Which type of resource should you create?
- A. Azure Al service
- B. Azure Al Content Safety
- C. Azure Al Speech
- D. Azure Al Language
Correct Answer: A π³οΈ
Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).
You need to recommend a non-relational data store that is optimized for storing and retrieving text files, videos, audio streams, and virtual disk images. The data store must store data, some metadata, and a unique ID for each file. Which type of data store should you recommend?
- A. columnar
- B. object
- C. document
- D. key/value
Correct Answer: B π³οΈ
Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).
You have a collection of 50,000 scanned documents that contain text.
You plan to make the text available through Azure Cognitive Search.
You need to configure an enrichment pipeline to perform optical character recognition (OCR) and text analytics. The solution must minimize costs.
What should you attach to the skillset?
- A. a new Computer Vision resource
- B. a free (Limited enrichments) Cognitive Services resource
- C. a new Cognitive Services resource that uses the SO pricing tier
- D. an Azure Machine Learning pipeline
Correct Answer: A π³οΈ
Explanation: Only visible for TrainingDump members. You can sign-up / login (it's free).
You have an Azure subscription that contains an Azure Al Document Intelligence resource named Aldoc1 in the SO tier.
You have the lies shown in the following table.
You need to train a custom extraction model by using AIdoc1.
Which files can you upload to Document Intelligence Studio?
- A. File1, and File2 only
- B. File1, File2. File3, File4, and File5
- C. File2, File4, and File5 only
- D. File1, File2, and File4 only
- E. File1, and File5 only
Correct Answer: A π³οΈ
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