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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Related Certifications: | Microsoft Certified: Azure Data Scientist Associate Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Exam Duration: | 100 minutes |
| Passing Score: | 700 (scaled score out of 1000) |
| Certificate Validity Period: | 1 year (renewable via free online assessment) |
| Exam Format: | Hot area, Drag-and-drop, Case studies, Performance-based scenarios, Multiple select, Multiple choice |
| Real Exam Qty: | 40-60 |
| Exam Price: | $165 USD (varies by region: £113 GBP, €126 EUR) |
| Available Languages: | French, Arabic (Saudi Arabia), Chinese (Simplified), Indonesian, German, Italian, Portuguese (Brazil), Japanese, English, Korean, Spanish |
| Recommended Training: | Microsoft Learn Learning Paths for AI-102 AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
| Exam Registration: | Pearson VUE Scheduling Microsoft Certification Exam Registration |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | Online proctored (OnVUE) or onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102 |
Es ist besser, zu handeln als die anderen zu beneiden. Die Prüfungsmaterialien zur Microsoft AI-102 Zertifizierungsprüfung von DeutschPrüfung wird Ihr erster Schritt zum Erfolg. Mit DeutschPrüfung können Sie sicher die schwierige Microsoft AI-102 Prüfung bestehen. Mit diesem Microsoft AI-102 Zertifikat können Sie ein Licht in Ihrem Herzen anzünden und neue Wege einschlagen und ein erfolgreiches Leben führen.
Die Microsoft AI-102 Prüfung ist eine wesentliche Zertifizierung für Fachleute, die ihre Kompetenz im Entwurf und der Umsetzung von AI-Lösungen in Azure demonstrieren möchten. Es ist eine anspruchsvolle Prüfung, die von den Kandidaten ein tiefes Verständnis von AI-Konzepten und praktische Erfahrung in der Umsetzung von AI-Lösungen in Azure erfordert. Durch das Bestehen dieser Prüfung können Kandidaten ihre Kompetenz im Entwurf und der Umsetzung von AI-Lösungen in Azure demonstrieren und sich in dem hochkompetitiven Bereich der AI differenzieren.
Die Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Zertifizierungsprüfung richtet sich an Fachleute, die ihre Kompetenz im Design und der Implementierung von KI-Lösungen mit Microsoft Azure demonstrieren möchten. Diese Zertifizierungsprüfung misst die Fähigkeiten und Kenntnisse, die erforderlich sind, um intelligente Anwendungen und Dienste zu erstellen, die maschinelles Lernen und kognitive Dienste nutzen. Kandidaten, die diese Prüfung bestehen, erhalten die Microsoft Certified: Azure AI Engineer Associate Zertifizierung.
393. Frage
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 plan to analyze stock photography and automatically generate captions for the images.
You need to create a service in Azure to analyze the images. The service must be named caption12345678 and must be in the East US Azure region. The solution must use the Free pricing tier.
In the C:\Resources\Caption\Params.json folder, enter the value for Key 1 and the endpoint for the new service.
To complete this task, sign in to the Azure portal.
Antwort:
Begründung:
Step 1: Provision a Cognitive Services resource
If you don't already have one in your subscription, you'll need to provision a Cognitive Services resource.
1. Open the Azure portal at https://portal.azure.com, and sign in using the Microsoft account associated with your Azure subscription.
2. Select the Create a resource button, search for cognitive services, and create a Cognitive Services resource with the following settings:
Subscription: Your Azure subscription
Resource group: Choose or create a resource group (if you are using a restricted subscription, you may not have permission to create a new resource group - use the one provided) Region: East US Azure region Name: caption12345678 Pricing tier: Free F0
3. Select the required checkboxes and create the resource.
Wait for deployment to complete, and then view the deployment details.
4. When the resource has been deployed, go to it and view its Keys and Endpoint page. You will need the endpoint and one of the keys from this page in the next procedure.
Step 2: Save Key and Endpoint values in Params.json
Open the configuration file, C:\Resources\Caption\Params.json. and update the configuration values it contains to reflect the endpoint and an authentication key for your cognitive services resource. Save your changes.
Reference:
https://microsoftlearning.github.io/AI-102-AIEngineer/Instructions/15-computer-vision.html
394. Frage
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.
Antwort:
Begründung:
Explanation:
To build narration for video training content using Custom Neural Voice, we must know where each step is done:
Creating a Custom Neural Voice
A Custom Neural Voice is a text-to-speech (TTS) feature within Azure AI Speech.
It allows you to create a unique, natural-sounding synthetic voice.
The correct tool to build and configure a custom voice is the Speech Studio portal.
Not the Language Understanding portal (LUIS), Azure portal directly, or Bot Framework Composer.
Generating narration
Narration requires converting written text into speech.
This is done via the Text-to-Speech service in Azure AI Speech.
Other options:
Language Understanding # For intent/utterance processing, not narration.
Speaker Recognition # For identifying/authenticating speakers, not narration.
Speech-to-text # Converts spoken words to text (the opposite direction).
Thus:
Custom Neural Voice # Speech Studio portal
Narration # Text-to-speech
Correct Answers:
Custom neural voice: The Speech Studio portal
Narration: Text-to-speech
Microsoft References
Custom Neural Voice in Speech Studio
Text-to-Speech overview
395. Frage
You have 100 chatbots that each has its own Language Understanding model.
Frequently, you must add the same phrases to each model.
You need to programmatically update the Language Understanding models to include the new phrases.
How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api
396. Frage
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Azure Databricks is an Apache Spark-based analytics platform. # Yes
Azure Analysis Services is used for transactional workloads. # No
Azure Data Factory orchestrates data integration workflows. # Yes
Let's break down each statement:
Azure Databricks is an Apache Spark-based analytics platform.
True.
Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics platform .
It is designed for data engineering, machine learning, and AI workloads.
The Answer: Yes
Azure Analysis Services is used for transactional workloads.
False.
Azure Analysis Services is an analytical service for semantic data modeling, OLAP (online analytical processing), and BI (business intelligence).
Transactional workloads belong to OLTP (online transaction processing) databases such as Azure SQL Database.
The Answer: No
Azure Data Factory orchestrates data integration workflows.
True.
Azure Data Factory (ADF) is a cloud-based ETL and data integration service that orchestrates and automates data movement and transformation across on-premises and cloud systems.
397. Frage
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Antwort:
Begründung:
398. Frage
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