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Microsoft AI-102 exam measures your ability to build and deploy AI models, integrate AI services into applications, and monitor and optimize AI solutions. AI-102 exam focuses on three key areas: designing AI solutions, implementing AI solutions, and monitoring and optimizing AI solutions. AI-102 Exam also covers various Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
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Microsoft AI-102 is an exam that is designed for IT professionals who are interested in Microsoft Azure and artificial intelligence technologies. The purpose of AI-102 exam is to test the candidate's knowledge and skills in designing and implementing an AI solution using Microsoft Azure technologies. AI-102 Exam is a part of the Microsoft Certified: Azure AI Engineer Associate certification. Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q160-Q165):NEW QUESTION # 160
You are developing the document processing workflow.
You need to identify which API endpoints to use to extract text from the financial documents. The solution must meet the document processing requirements.
Which two API endpoints should you identify? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. /formrecognizer/v2.0/prebuilt/receipt/analyze
B. /vision/v3.2/read/analyze
C. /vision/v3.2/describe
D. /vision/v3.2/read/analyzeResults
E. /formercognizer/v2.0/custom/models{modelId}/ analyze
Answer: A,C
NEW QUESTION # 161
Drag and Drop Question
You have a chatbot that uses the Azure AI Language custom question answering service. The model used by the service was trained by using an internal support FAQ document.
You discover that the chatbot fails to provide correct answers to common questions.
You need to increase the accuracy of the responses provided by the chatbot. The solution must minimize development effort.
Which three actions should you perform in sequence from Language 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:
NEW QUESTION # 162
You plan to deploy an Azure OpenAI resource by using an Azure Resource Manager (ARM) template.
You need to ensure that the resource can respond to 600 requests per minute.
How should you complete the template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point. Answer:
Explanation:
Explanation:
When deploying an Azure OpenAI model using the Microsoft.CognitiveServices/accounts/deployments resource in an ARM template, the throughput for a Standard deployment is set on the SKU object.
Specifically:
* Use the capacity field of the SKU to specify the per-deployment rate.
* Provide the integer value that represents the requests per minute (RPM) you want the deployment to handle.
Therefore, to meet the requirement of 600 requests per minute, complete the template as:
"sku": {
"name": "Standard",
"capacity": 600
}
This uses a single deployment SKU with a defined capacity. The ARM schema for accounts/deployments explicitly includes sku.capacity for resources that support scale (Azure OpenAI deployments do), and Azure OpenAI quota/rate-limit guidance confirms that rate limits are assigned per deployment.
Microsoft Azure AI Solution References
* ARM template-Microsoft.CognitiveServices/accounts/deployments (2023-05-01): property reference showing sku.capacity. Microsoft Learn
* Resource type reference-latest accounts/deployments: confirms SKU usage on deployments.
Microsoft Learn
* Azure OpenAI quota and rate limits: explains assigning deployment-level limits (RPM/TPM).
Microsoft Learn
NEW QUESTION # 163
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:
Explanation:
NEW QUESTION # 164
You have an Azure subscription that contains an Azure Al Document Intelligence resource named DM.
You create a PDF document named Test.pdf that contains tabular data.
You need to analyze Test.pdf by using DM.
How should you complete the command? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point. Answer:
Explanation:
Explanation:
You're analyzing a PDF (Test.pdf) that "contains tabular data." In Azure AI Document Intelligence, the Layout prebuilt model is the right choice when your primary goal is to extract document structure such as tables, lines, words, selection marks, and paragraphs. Microsoft's documentation clearly states that the Layout model "extracts text, tables, selection marks, and document structure," which is exactly what you need for tabular content. Microsoft Learn While the General document (prebuilt-document) model can also return tables, it is intended for broader extraction (including key-value pairs, entities, etc.). For a document whose key requirement is table extraction, Microsoft guidance recommends starting with Layout for structure-first scenarios.
For authentication in the REST call, the correct header to pass your resource key is Ocp-Apim-Subscription- Key. This is explicitly shown in the official REST API reference for the Analyze Document operation under Security (Type: apiKey, In: header). Microsoft Learn Putting it together, the command shape is:
curl -v -i POST "{endpoint}/formrecognizer/documentModels/prebuilt-layout:analyze?api-version=2023-07-
31"
-H "Content-Type: application/json"
-H "Ocp-Apim-Subscription-Key: {yourkey}"
--data-ascii "{"urlSource": "test.pdf"}"
This uses a single analyze call to the prebuilt-layout model to extract the tables and authenticates with the Ocp-Apim-Subscription-Key header-matching the two selections in the answer area. The model matrix and overview pages also confirm Layout supports tables. Microsoft Learn
* Document layout analysis (Layout model) - capabilities include extracting tables, text, selection marks, and structure. Microsoft Learn
* Choose the best Document Intelligence model - guidance on when to use Layout (structure-first; tables). Microsoft Learn
* General document (prebuilt-document) model - broader extraction including key-value pairs and tables.
Microsoft Learn
* Model overview / matrix - shows Layout supports Tables. Microsoft Learn
* Analyze Document (REST API) - Ocp-Apim-Subscription-Key header for authentication. Microsoft Learn
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