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The AI-102 certification exam is designed for individuals who are responsible for designing and implementing AI solutions using Azure services. AI-102 exam covers a wide range of topics, including natural language processing, computer vision, machine learning, and data storage and processing. It also covers the tools and technologies used to develop and deploy AI solutions.
Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Exam is a certification exam that focuses on the skills and knowledge required to design and implement AI solutions using Microsoft Azure. AI-102 Exam is designed for individuals who have experience working with various Azure services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. AI-102 exam tests the candidate's knowledge in designing and implementing AI solutions using these services, as well as their ability to integrate AI solutions into existing systems.
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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.
NEW QUESTION # 137
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
NEW QUESTION # 138
SIMULATION
Use the following login credentials as needed:
- To enter your username, place your cursor in the Sign in box and click on the username below.
- To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: admin@abc.com
Azure Password: XXXXXXXXXXXX
The following information is for technical support purposes only:
- Lab Instance: 12345678
Task
You need to get insights from a video file located in the C:\Resources\Video\Media.mp4 folder.
Save the insights to the C:\Resources\Video\Insights.json folder.
To complete this task, sign in to the Azure Video Analyzer for Media at
https://www.videoindexer.ai/ by using admin@abc.com
Answer:
Explanation:
Step 1: Login
Browse to the Azure Video Indexer website and sign in.
URL: https://www.videoindexer.ai/
Login admin@abc.com
Step 2: Create a project from your video
You can create a new project directly from a video in your account.
1. Go to the Library tab of the Azure Video Indexer website.
2. Open the video that you want to use to create your project. On the insights and timeline page, select the Video editor button.
Folder: C:\Resources\Video\Media.mp4
This takes you to the same page that you used to create a new project. Unlike the new project, you see the timestamped insights segments of the video, that you had started editing previously.
Step 3: Save the insights to the C:\Resources\Video\Insights.json folder.
Reference:
https://docs.microsoft.com/en-us/azure/azure-video-indexer/use-editor-create-project
NEW QUESTION # 139
You are building an app that will translate speech by using the Azure Al Language service.
You need configure the app to translate the speech from English to Italian.
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 # 140
You are building a social media messaging app.
You need to identify in real time the language used in messages.
Which service should you use?
Answer: C
Explanation:
For a social media messaging app, you need real-time language identification on short text messages. The Azure AI Translator service provides a dedicated Detect API that returns the language and a confidence score for each input text, designed for low-latency scenarios such as chat and in-app communication. This aligns directly with "identify in real time the language used in messages." Microsoft Azure +2 Why the other options are not the best fit:
Azure AI Speech (A) targets spoken audio (speech-to-text, translation, diarization). It's not intended for detecting the language of text messages. Azure AI Azure AI Content Safety (B) focuses on safety/moderation (harmful or unsafe content), not language identification.
Azure AI Language (D) also offers a Language Detection feature, but it's typically used within broader text analytics workflows. For real-time messaging and potential downstream translation, Translator's Detect endpoint is the targeted and streamlined choice.
References (Microsoft Learn)
Translator - Detect method (returns detected language + confidence). Microsoft Learn Translator - Product overview and real-time translation scenarios. Microsoft Azure Translator - Language support (Auto Language Detection). Microsoft Learn Azure AI Language - Language Detection (feature overview/how-to) for context.
NEW QUESTION # 141
You have a flow that you plan to deploy to Azure Machine Learning managed online endpoints for real-time inference.
You need to modify the YAML configuration file for the deployment to ensure that trace data and system metrics are collected and sent to an Application Insights resource named my-app-insights.
How should you modify the file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 142
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