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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q245-Q250):

NEW QUESTION # 245
You have 1,000 scanned images of hand-written survey responses. The surveys do NOT have a consistent layout.
You have an Azure subscription that contains an Azure Al Document Intelligence resource named Aldoc1.
You open Document Intelligence Studio and create a new project.
You need to extract data from the survey responses. The solution must minimize development effort.
To where should you upload the images, and which type of model should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 246
You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.

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

Answer:

Explanation:

Explanation:
Query successful
An analysis of the provided code segment is needed to determine the truth value of the statements, which are not explicitly provided in the prompt. Since I don ' t have the statements, I will analyze the code and infer common types of questions related to this code structure to provide a helpful response.
Code Analysis
The code segment is written in a C#-like syntax and iterates through a collection named brands .
C#
foreach ( var brand in brands)
{
if (brand.Confidence > = .75 )
Console.WriteLine( $ " Logo of {brand.Name} between {brand.Rectangle.X} , {brand.Rectangle.Y} and
{brand.Rectangle.W} , {brand.Rectangle.H} " );
}
Iteration: The foreach (var brand in brands) loop processes each item (presumably a detected brand or logo) in the brands collection.
Filtering/Condition: The if (brand.Confidence > = .75) statement acts as a filter. It only processes a brand if its associated Confidence value (likely a floating-point number between 0.0 and 1.0) is greater than or equal to 0.75 .
Output: For brands that pass the confidence threshold, a line of text is printed to the console using string interpolation ( $ " " ).
It reports the Name of the brand.
It reports the bounding box coordinates, presumably X (horizontal position), Y (vertical position), W (width), and H (height), which are properties of the nested brand.Rectangle object.


NEW QUESTION # 247
You have an Azure subscription that contains an Azure Al Content Safety resource named resource1.
You need to add a custom category to resource1.
How should you complete the cURL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Use " definition " for the first field and " sampleBlobUrl " for the second field When creating a custom text category in Azure AI Content Safety, you call the PUT /contentsafety/text
/categories/{categoryName} endpoint and provide a JSON body that includes:
categoryName : the identifier of your category.
definition : a natural-language description of what the category covers (e.g., "text prompts about learning advice while preparing for an exam").
sampleBlobUrl : a pointer to labeled sample data (typically a JSONL file in Azure Storage) used to help the service understand the category.
Keys like prompt or text are used when analyzing content (for example, text:detect ), not when defining a category. Likewise, blocklistName applies to blocklist operations, and outputType is not part of the category- creation schema. Therefore, the correct payload fields to complete the cURL are definition and sampleBlobUrl .
Microsoft Azure AI References (titles only)
Azure AI Content Safety - Create or update custom text categories (REST) Azure AI Content Safety - Custom categories concepts and training data (JSONL in blob storage) Azure AI Content Safety - Text analysis vs. category management endpoints


NEW QUESTION # 248
You have an app named App1 that uses an Azure Cognitive Services model to identify anomalies in a time series data stream. You need to run App1 in a location that has limited connectivity. The solution must minimize costs. What should you use to host the model?

Answer: D

Explanation:
* Azure Cognitive Services models can be containerized and run locally using Docker .
* This allows apps to function in disconnected or edge environments , while still using pre-trained AI models.
* A. Azure Kubernetes Service (AKS) # Cloud-managed; not suitable for limited connectivity.
* B. Azure Stack Hub Kubernetes cluster # Overkill and high cost.
* C. Azure Container Instances (ACI) # Cloud-based; requires connectivity.
* D. Docker Engine # Best for local, offline, and cost-effective deployment .
Reference: Run Cognitive Services in containers
Topic 1, 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 # 249
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1.
You plan to create a new Azure Cognitive Search service named service1.
You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.
Solution: You deploy service1 and a public endpoint, and you configure a network security group (NSG) for vnet1.
Does this meet the goal?

Answer: B

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/private-link/private-link-overview


NEW QUESTION # 250
......

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