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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Available Languages: | French, English, Arabic (Saudi Arabia), German, Indonesian, Chinese (Simplified), Spanish, Italian, Portuguese (Brazil), Korean, Japanese |
| Certificate Validity Period: | 1 year (renewable via free online assessment) |
| Passing Score: | 700 (scaled score out of 1000) |
| Exam Format: | Performance-based scenarios, Case studies, Hot area, Multiple choice, Drag-and-drop, Multiple select |
| Exam Price: | $165 USD (varies by region: £113 GBP, €126 EUR) |
| Exam Duration: | 100 minutes |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) Microsoft Certified: Azure Data Scientist Associate Microsoft Certified: Azure Developer Associate |
| Real Exam Qty: | 40-60 |
| 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 |
>> Microsoft AI-102 Pass Exam <<
The Microsoft AI-102 mock tests are specially built for you to evaluate what you have studied. These Designing and Implementing a Microsoft Azure AI Solution (AI-102) practice exams (desktop and web-based) are customizable, which means that you can change the time and questions according to your needs. Our Designing and Implementing a Microsoft Azure AI Solution (AI-102) practice tests teach you time management so you can pass the Designing and Implementing a Microsoft Azure AI Solution (AI-102) certification exam.
To be eligible for AI-102 exam, candidates must have a fundamental understanding of Azure services, including Azure storage, compute, networking, and security. They should also have experience with data science concepts and machine learning models. The AI-102 Exam is intended for professionals who work as AI engineers, data scientists, or developers who want to enhance their expertise in AI and Azure. Passing AI-102 exam validates their skills in designing and implementing end-to-end AI solutions that can leverage Azure AI services and tools.
NEW QUESTION # 272
You are developing a solution for the Management-Bookkeepers group to meet the document processing requirements. The solution must contain the following components:
* A form Recognizer resource
* An Azure web app that hosts the Form Recognizer sample labeling tool
The Management-Bookkeepers group needs to create a custom table extractor by using the sample labeling tool.
Which three actions should the Management-Bookkeepers group perform in sequence? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Create a new project and load sample documents
Create a new project. Projects store your configurations and settings.
Step 2: Label the sample documents
When you create or open a project, the main tag editor window opens.
Step 3: Train a custom model.
Finally, train a custom model.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool
NEW QUESTION # 273
You plan to use a Language Understanding application named app1 that is deployed to a container.
App1 was developed by using a Language Understanding authoring resource named lu1.
App1 has the versions shown in the following table.
You need to create a container that uses the latest deployable version of app1.
Which three 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. (Choose three.)
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
NEW QUESTION # 274
You have a web app that uses Azure Cognitive Search.
When reviewing billing for the app, you discover much higher than expected charges. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
Which three 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:
Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-api-keys
NEW QUESTION # 275
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Comprehensive Detailed Explanation
Relational databases (such as Azure SQL Database, SQL Server, or Azure Database for PostgreSQL) are designed for structured data and ACID-compliant transactions.
Let's analyze the options:
Changes to relationships between entities
While relational databases do handle relationships (via primary/foreign keys), this phrase alone does not describe the core usage scenario for "high volume." Geographically distributed writes This is better suited to NoSQL databases (e.g., Azure Cosmos DB) because they are optimized for global distribution and multi-region writes.
Transactional writes
Correct.
Relational databases excel at handling large volumes of transactional operations (INSERT, UPDATE, DELETE) while ensuring consistency, integrity, and rollback capabilities.
This is the primary workload for OLTP (Online Transaction Processing) systems.
Writes that have varying data structures
This is a use case for NoSQL/document databases like MongoDB or Azure Cosmos DB, not relational systems which require structured schema.
The Answer: Transactional writes
Microsoft References
Azure SQL Database - transactional processing
Data store considerations: relational vs non-relational
OLTP vs OLAP
NEW QUESTION # 276
SIMULATION
You need to create and publish a bot that will use Language Understanding and QnA Maker. The bot must be named bot12345678. You must publish the bot by using the User1-
12345678@abc.com account.
NOTE: Complete this task first. It may take several minutes to complete the required deployment steps. While this is taking place, you can complete tasks 2-6 in this lab during the deployment.
To complete this task, use the Microsoft Bot Framework Composer.
Answer:
Explanation:
Step 1: Sign in to the QnAMaker.ai portal with your Azure credentials. Use the User1-
12345678@abc.com account
Step 2: Publish the knowledge base. In the QnA Maker portal, select Publish. Then to confirm, select Publish on the page.
The QnA Maker service is now successfully published. You can use the endpoint in your application or bot code.
Step 3: In the QnA Maker portal, on the Publish page, select Create bot.
This button appears only after you've published the knowledge base.
After publishing the knowledge base, you can create a bot from the Publish page.
Step 4: A new browser tab opens for the Azure portal, with the Azure Bot Service's creation page.
Configure the Azure bot service.
Bot name: bot12345678
The bot will be created.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/quickstarts/create-publish- knowledge-base
NEW QUESTION # 277
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