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Microsoft AI-102 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing a Microsoft Azure AI Solution
Exam Number:AI-102
Related Certifications:Microsoft Certified: Azure AI Engineer Associate
Exam Price:$165 USD
Passing Score:700 (on a scale of 1-1000)
Exam Format:Case studies, Multiple-choice, Active screen questions, Drag-and-drop
Available Languages:English, Japanese, Korean, Chinese (Simplified)
Real Exam Qty:40-60
Exam Duration:120 minutes
Certificate Validity Period:No expiration; certification remains valid unless Microsoft deprecates it
Sample Questions:Microsoft AI-102 Sample Questions
Exam Way:In-person at Pearson VUE testing centers or online proctored exam
Pre Condition:Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/

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Microsoft AI-102 is a challenging exam that requires significant preparation and experience with Azure and AI technologies. Candidates must be able to design and implement solutions that leverage Azure's powerful AI services, as well as optimize and monitor these solutions for maximum efficiency and effectiveness.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q97-Q102):

NEW QUESTION # 97
You have an Azure Subscription that contains an Azure OpenAI resource named AI1 and a user named User1.
You need to ensure that User1 can add custom data sources to AI1. The solution must follow the principle of least privilege.
Which role should you assign to User1?

Answer: B


NEW QUESTION # 98
You develop a Conversational Language Undemanding model by using Language Studio During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model.
You need to ensure that the model identifies spurious requests.
What should you do?

Answer: B

Explanation:
* The None intent is a built-in intent in CLU/Language Understanding models.
* It is used to capture queries that don't match any of the defined intents.
* By adding representative irrelevant utterances to the None intent , the model learns how to reject spurious queries.
Reference: None intent in CLU


NEW QUESTION # 99
You are building an app by using the Speech SDK. The app will translate speech from French to German by using natural language processing.
You need to define the source language and the output 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:

Explanation


NEW QUESTION # 100
You are developing the shopping on-the-go project.
You are configuring access to the QnA Maker resources.
Which role should you assign to AllUsers and LeadershipTeam? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: QnA Maker Editor
Scenario: Provide all employees with the ability to edit Q&As.
The QnA Maker Editor (read/write) has the following permissions:
Create KB API
Update KB API
Replace KB API
Replace Alterations
"Train API" [in
new service model v5]
Box 2: Contributor
Scenario: Only senior managers must be able to publish updates.
Contributor permission: All except ability to add new members to roles
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/reference-role-based-access-control
Topic 2, Contoso, Ltd.Case Study
This is a case study Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab. note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
General Overview
Contoso, Ltd. is an international accounting company that has offices in France. Portugal, and the United Kingdom. Contoso has a professional services department that contains the

Infrastructure
Contoso has the following subscriptions:
* Azure
* Microsoft 365
* Microsoft Dynamics 365
Azure Active (Azure AD) Directory
Contoso has Azure Active Directory groups for securing role-based access. The company uses the following group naming conventions:
* ICountryJ-[Levell-[Role]
* [Level]-[Role]
Intellectual Property
Contoso has the intellectual property shown in the following table.

Text-based content is provided only in one language and is not translated.
Planned Projects
Contoso plans to develop the following:
* A document processing workflow to extract information automatically from PDFs and images of financial documents
* A customer-support chatbot that will answer questions by using FAQs
* A searchable knowledgebase of all the intellectual property
Technical Requirements
Contoso identifies the following technical requirements:
* All content must be approved before being published.
* All planned projects must support English, French, and Portuguese.
* All content must be secured by using role-based access control (RBAC).
* RBAC role assignments must use the principle of least privilege.
* RBAC roles must be assigned only to Azure Active Directory groups.
* Al solution responses must have a confidence score that is equal to or greater than 70 percent.
* When the response confidence score of an Al response is lower than 70 percent, the response must be improved by human input.
Chatbot Requirements
Contoso identifies the following requirements for the chatbot:
* Provide customers with answers to the FAQs.
* Ensure that the customers can chat to a customer service agent.
* Ensure that the members of a group named Management-Accountants can approve the FAQs.
* Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
* Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
* Ensure that access to the customer service agents is managed by using Omnichannel for Customer Service.
* When the response confidence score is low. ensure that the chatbot can provide other response options to the customers.
Document Processing Requirements
Contoso identifies the following requirements for document processing:
* The document processing solution must be able to process standardized financial documents that have the following characteristics:
* Contain fewer than 20 pages.
* Be formatted as PDF or JPEG files.
* Have a distinct standard for each office.
* The document processing solution must be able to extract tables and text from the financial documents.
* The document processing solution must be able to extract information from receipt images.
* Members of a group named Management-Bookkeeper must define how to extract tables from the financial documents.
* Members of a group named Consultant-Bookkeeper must be able to process the financial documents.
Knowledgebase Requirements
Contoso identifies the following requirements for the knowledgebase:
* Supports searches for equivalent terms
* Can transcribe jargon with high accuracy
* Can search content in different formats, including video
* Provides relevant links to external resources for further research


NEW QUESTION # 101
You have an Azure subscription that contains an Azure OpenAl resource named All and ari Azure Al Content Safety resource named CS1.
You build a chatbot that uses All to provide generative answers to specific questions and CS1 to check input and output for objectionable content You need to optimize the content filter configurations by running tests on sample questions.
Solution: From Content Safety Studio, you use the Moderate text content feature to run the tests.
Does this meet the requirement?

Answer: B

Explanation:
Comprehensive Detailed Explanation
You have a chatbot that uses Azure OpenAI for generative responses and Azure AI Content Safety to filter objectionable content.
The requirement is to optimize the content filter configurations by running tests on sample questions.
The proposed solution: Using Content Safety Studio # Moderate text content feature.
This solution is correct because:
Content Safety Studio provides tools to test and fine-tune content filters.
The Moderate text content feature allows you to run sample prompts and responses against filters for categories such as sexual, violence, hate, and self-harm.
This is exactly how you optimize and validate configurations before applying them to production workloads.
The Answer: Yes
Microsoft Reference:
Content Safety Studio overview
Azure AI Content Safety


NEW QUESTION # 102
......

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