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To prepare for the Microsoft AI-102 exam, candidates should have a strong understanding of Azure services and AI concepts. They should also have experience in designing and implementing AI solutions, as well as knowledge of programming languages such as Python and C#. In addition, candidates should be familiar with machine learning concepts such as supervised and unsupervised learning, deep learning, and reinforcement learning. With the Microsoft AI-102 certification, professionals can demonstrate their expertise in AI solution development and implementation on the Azure platform, opening up opportunities for career advancement and higher salaries.

Becoming a Microsoft Certified: Azure AI Engineer Associate by passing the AI-102 Exam shows that the candidate has the skills and knowledge required to design and implement AI solutions using Azure technologies. Designing and Implementing a Microsoft Azure AI Solution certification can help professionals advance their careers by demonstrating their expertise in AI and Azure technologies. Moreover, it can help organizations identify and hire skilled professionals who can design and implement AI solutions that can drive innovation and improve business outcomes.

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To pass the exam, candidates must demonstrate their ability to design and implement AI solutions that meet specific business requirements. They must also be proficient in using Azure services to build intelligent applications that can process natural language, recognize images and speech, and make predictions based on data. Additionally, they must have a clear understanding of how to train and evaluate machine learning models, and how to deploy these models in production environments.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q85-Q90):

NEW QUESTION # 85
You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
Which service should you include in the solution?

Answer: B

Explanation:
You can create a Custom FAQs PDF Solution Powered by Azure OpenAI with Citations from Grounded Data.
Business Problem
Imagine an organization that frequently deals with FAQs, legal documents, or reports. They want an automated system that can:
Generate answers from questions using the information found in existing PDF documents.
Ensure citations from those documents are included in the responses.
Output a structured PDF with the Q&A and citations formatted in a professional and readable way.
Solution Overview
By leveraging Azure OpenAI on your data and Azure Cognitive Search, we can ground the OpenAI GPT model with custom documents like PDFs. When queried, the model retrieves the most relevant responses from the documents and includes citations such as document titles or page numbers and create a question-and-answer format JSON file. The system then generates a structured, professional-looking PDF with bold questions, clear answers, and citations.
Reference:
https://www.linkedin.com/pulse/creating-custom-faqs-pdf-solution-powered-azure-openai-saqlain- tahir-x9gse


NEW QUESTION # 86
You build a conversational bot named bot1.
You need to configure the bot to use a QnA Maker application.
From the Azure Portal, where can you find the information required by bot1 to connect to the QnA Maker application?

Answer: D

Explanation:
Explanation
Obtain values to connect your bot to the knowledge base
1.In the QnA Maker site, select your knowledge base.
2.With your knowledge base open, select the SETTINGS tab. Record the value shown for service name. This value is useful for finding your knowledge base of interest when using the QnA Maker portal interface. It's not used to connect your bot app to this knowledge base.
3.Scroll down to find Deployment details and record the following values from the Postman sample HTTP request:
4.POST /knowledgebases/<knowledge-base-id>/generateAnswer
5.Host: <your-host-url>
6.Authorization: EndpointKey <your-endpoint-key>
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-qna
Topic 1, Wide World Importers
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 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 button to return to the question.
Overview
Existing Environment
A company named Wide World Importers is developing an e-commerce platform.
You are working with a solutions architect to design and implement the features of the e-commerce platform.
The platform will use microservices and a serverless environment built on Azure.
Wide World Importers has a customer base that includes English, Spanish, and Portuguese speakers.
Applications
Wide World Importers has an App Service plan that contains the web apps shown in the following table.

Azure Resources
You have the following resources:
* An Azure Active Directory (Azure AD) tenant
* The tenant supports internal authentication.
* All employees belong to a group named AllUsers.
* Senior managers belong to a group named LeadershipTeam.
* An Azure Functions resource
* A function app posts to Azure Event Grid when stock levels of a product change between OK, Low Stock, and Out of Stock. The function app uses the Azure Cosmos DB change feed.
* An Azure Cosmos DB account
* The account uses the Core (SQL) API.
* The account stores data for the Product Management app and the Inventory Tracking app.
* An Azure Storage account
* The account contains blob containers for assets related to products.
* The assets include images, videos, and PDFs.
* An Azure Cognitive Services resource named wwics
* A Video Indexer resource named wwivi
Requirements
Business Goals
Wide World Importers wants to leverage AI technologies to differentiate itself from its competitors.
Planned Changes
Wide World Importers plans to start the following projects:
* A product creation project: Help employees create accessible and multilingual product entries, while expediting product entry creation.
* A smart e-commerce project: Implement an Azure Cognitive Search solution to display products for customers to browse.
* A shopping on-the-go project: Build a chatbot that can be integrated into smart speakers to support customers.
Business Requirements
Wide World Importers identifies the following business requirements for all the projects:
* Provide a multilingual customer experience that supports English, Spanish, and Portuguese.
* Whenever possible, scale based on transaction volumes to ensure consistent performance.
* Minimize costs.
Governance and Security Requirements
Wide World Importers identifies the following governance and security requirements:
* Data storage and processing must occur in datacenters located in the United States.
* Azure Cognitive Services must be inaccessible directly from the internet.
Accessibility Requirements
Wide World Importers identifies the following accessibility requirements:
* All images must have relevant alt text.
* All videos must have transcripts that are associated to the video and included in product descriptions.
* Product descriptions, transcripts, and all text must be available in English, Spanish, and Portuguese.
Product Creation Requirements
Wide World Importers identifies the following requirements for improving the Product Management app:
* Minimize how long it takes for employees to create products and add assets.
* Remove the need for manual translations.
Smart E-Commerce Requirements
Wide World Importers identifies the following requirements for the smart e-commerce project:
* Ensure that the Cognitive Search solution meets a Service Level Agreement (SLA) of 99.9% availability for searches and index writes.
* Provide users with the ability to search insight gained from the images, manuals, and videos associated with the products.
* Support autocompletion and autosuggestion based on all product name variants.
* Store all raw insight data that was generated, so the data can be processed later.
* Update the stock level field in the product index immediately upon changes.
* Update the product index hourly.
Shopping On-the-Go Requirements
Wide World Importers identifies the following requirements for the shopping on-the-go chatbot:
Answer common questions.
* Support interactions in English, Spanish, and Portuguese.
* Replace an existing FAQ process so that all Q&A is managed from a central location.
* Provide all employees with the ability to edit Q&As. Only senior managers must be able to publish updates.
* Support purchases by providing information about relevant products to customers. Product displays must include images and warnings when stock levels are low or out of stock.
Product JSON Sample
You have the following JSON sample for a product.


NEW QUESTION # 87
You are building an Azure Cognitive Search custom skill.
You have the following custom skill schema definition.

For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Code Recap (Custom Skill JSON Schema){
"@odata.type": "#Microsoft.Skills.Custom.WebApiSkill",
"description": "My custom skill description",
"uri": "https://contoso-webskill.azurewebsites.net/api/process",
"context": "/document/organizations/*",
"inputs": [
{
"name": "companyName",
"source": "/document/organizations/*"
}
],
"outputs": [
{
"name": "companyDescription"
}
]
}
* CompanyDescription is available for indexing.
* Yes.
* The skill produces an output field called companyDescription. Outputs of a custom skill become part of the enrichment tree, which can then be projected into the search index or knowledge store.
* The definition calls a web API as part of the enrichment process.
* Yes.
* This is a Web API skill (@odata.type: #Microsoft.Skills.Custom.WebApiSkill) with a uri pointing to https://contoso-webskill.azurewebsites.net/api/process. This means an external web API is called to enrich data.
* The enrichment step is called only for the first organization under /document/organizations.
* No.
* The context is set to "/document/organizations/*", where the * means the skill runs for each element in the collection. It is not limited to the first element.
Statement Analysis
* CompanyDescription is available for indexing # Yes
* The definition calls a web API as part of the enrichment process # Yes
* The enrichment step is called only for the first organization under /document/organizations # No Final Answer
* Custom skills in Azure Cognitive Search
* Enrichment tree and skill context
Microsoft References
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping


NEW QUESTION # 88
Hotspot Question
You have a custom analyzer named analyzer1 that performs the following functions:
- The transcription of video content
- The extraction of key frames from videos
You run the following command.

You receive the following output.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Answer:

Explanation:

Explanation:
Box 1: Yes
A 202 response is not an error code, instead it means that your first POST API call was successful.
Box 2: No
This call returns HTTP 202 Accepted. That means, Document intelligence starts the processing of my uploaded document:
Box 3: Yes
Azure AI Content Understanding video solutions
The pre-built video analyzer outputs RAG-ready Markdown that includes:
* Transcript: Inline transcripts in standard WEBVTT format
* Description: Natural-language segment descriptions with visual and speech context Segmentation: Automatic scene segmentation breaking the video into logical chunks
*-> Key Frames: Ordered key-frame thumbnails enabling deeper analysis
Reference:
https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/202
https://github.com/MicrosoftDocs/azure-ai-docs/blob/main/articles/ai-services/content- understanding/video/overview.md


NEW QUESTION # 89
You are developing a photo application that will find photos of a person based on a sample image by using the Face API.
You need to create a POST request to find the photos.
How should you complete the request? 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.

Answer:

Explanation:

Explanation
Box 1: findsimilars
https://docs.microsoft.com/en-us/rest/api/faceapi/face/find-similar
Box 2: matchPerson
Find similar has two working modes, "matchPerson" and "matchFace". "matchPerson" is the default mode that it tries to find faces of the same person as possible by using internal same-person thresholds. It is useful to find a known person's other photos. Note that an empty list will be returned if no faces pass the internal thresholds.
"matchFace" mode ignores same-person thresholds and returns ranked similar faces anyway, even the similarity is low. It can be used in the cases like searching celebrity-looking faces.
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar


NEW QUESTION # 90
......

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