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If you are looking to advance in the fast-paced and technological world, Microsoft is here to help you achieve this aim. Microsoft provides you with the excellent Designing and Implementing a Microsoft Azure AI Solution practice exam, which will make your dream come true of passing the Microsoft AI-102 Certification Exam.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Implement translation and summarization - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots |
| Topic 2: Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Build and deploy custom vision models - Integrate vision capabilities into applications - Extract text and handwriting from images - Process and index video content |
| Topic 3: Implement an agentic solution | 5-10% | - Understand agent use cases and types - Test, deploy, and optimize agents - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration |
| Topic 4: Implement generative AI solutions | 15-20% | - Deploy and manage generative models - Implement model monitoring and feedback - Integrate Azure OpenAI and other generative models - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning |
| Topic 5: Plan and manage an Azure AI solution | 20-25% | - Plan solutions aligned with responsible AI principles - Select appropriate Microsoft Foundry Services - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select suitable AI models - Monitor, optimize, and secure AI solutions - Create and configure Azure AI resources |
| Topic 6: Implement knowledge mining and information extraction solutions | 15-20% | - Ingest and process structured/unstructured data - Implement intelligent search and retrieval - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes |
>> Latest AI-102 Test Answers <<
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NEW QUESTION # 223
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named get_text_to_be_translated. 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.
Answer:
Explanation:
NEW QUESTION # 224
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
semi-structured data
The statement is:
"Varying fields for each entity in a JSON document is an example of ______."
* Relational data # Stored in structured tables with fixed schema (e.g., SQL database). Not applicable here.
* Structured data # Has a strict schema (columns and types are predefined). JSON allows variation, so not structured.
* Semi-structured data # Data that does not require a fixed schema, but still uses markers (tags, keys) to separate elements. JSON and XML are classic examples. #
* Unstructured data # Data without schema or labeling (e.g., videos, images, free text). Not JSON.
Since JSON documents can have varying fields per entity (flexible schema), this is considered semi-structured data.
The answer:
semi-structured data
* Structured, semi-structured, and unstructured data
* JSON in Azure
NEW QUESTION # 225
You are developing an app that will use the Azure AI vision API to analyze an image.
You need configure the request that will be used by the app to identity whether an image is clipart or a line drawing.
How should you complete the request? To answer. Select the appropriate options in the answer area.
NOTE: Each correct select is worth one point.
Answer:
Explanation:
Explanation:
HTTP Method: POST
Visual Feature: imageType
The question requires configuring an Azure AI Vision API request that determines if an image is clipart or a line drawing.
The Analyze Image endpoint (/analyze) of Azure AI Vision expects an HTTP POST request.
* GET is not valid for analysis with an image body.
* PATCH is irrelevant here.
* POST is correct because you are submitting image content or a URL for analysis.
Reference: Azure AI Vision Analyze Image API
Step 2 - Select the correct Visual FeatureThe visualFeatures query parameter determines what the API extracts.
description # Generates natural language description of the image.
tags # Identifies tags related to the image content.
objects # Detects objects and their locations.
imageType # Determines whether the image is a clipart, line drawing, or photo.
Since the requirement is to identify clipart vs line drawing, the correct choice is imageType.
Correct Request Completion:
Method: POST
Visual Feature: imageType
Microsoft ReferencesAnalyze Image (REST API) - Visual Features
Computer Vision API v3.2 Reference
NEW QUESTION # 226
You are developing an application to recognize employees' faces by using the Face Recognition API. Images of the faces will be accessible from a URI endpoint.
The application has the following code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
A. True
B. True
C. True
B: see this example code from documentation that uses PersonGroup of size 10,000 :
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-add-faces the question wants to trick you into thinking you need to use a LargePersonGroup for a size of 10,000 - but the documentation for it doesn't include this limitation or criteria:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-use-large-scale Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/use-persondirectory
NEW QUESTION # 227
You have the following data sources:
* Finance: On-premises Microsoft SQL Server database
* Sales: Azure Cosmos DB using the Core (SQL) API
* Logs: Azure Table storage
* HR: Azure SQL database
You need to ensure that you can search alt the data by using the Azure Al Search REST API. What should you do?
Answer: D
NEW QUESTION # 228
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