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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 notappear 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 vnetl. You plan to create a new Azure Cognitive Search service named service!

You need to ensure that app1 can connect directlyto servicel without routing traffic over the public internet. Solution: You deploy service1 and a public endpoint to a new virtual network, and you configure Azure Private Link. Does this meet the goal?

A.
Yes
A.
Yes
Answers
B.
No
B.
No
Answers
Suggested answer: B

Explanation:

The Azure Private Link should use a private endpoint, not a public endpoint.

Private Link service can be accessed from approved private endpoints in any public region.

Reference:

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

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 notappear 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 vnetl. You plan to create a new Azure Cognitive Search service named servicel.

You need to ensure that app1 can connect directlyto servicel without routing traffic over the public internet. Solution: You deploy servicel and a public endpoint, and you configure an IP firewall rule.

Does this meet the goal?

A.
Yes
A.
Yes
Answers
B.
No
B.
No
Answers
Suggested answer: B

Explanation:

E xp I an ati o n/Ref e re n ce:

Reference:

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

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 notappear 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 vnetl. You plan to create a new Azure Cognitive Search service named servicel.

You need to ensure that app1 can connect directlyto servicel without routing traffic over the public internet. Solution: You deploy servicel and a public endpoint, and you configure a network security group (NSG) for vnetl. Does this meet the goal?

A.
Yes
A.
Yes
Answers
B.
No
B.
No
Answers
Suggested answer: B

Explanation:

E xp I an ati o n/Ref e re n ce:

Reference:

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

You plan to perform predictive maintenance.

You collect loT sensor data from 100 industrial machines for a year. Each machine has 50 different sensors that generate data at one-minute intervals. In total, you have 5,000 time series datasets. You need to identify unusual values in each time series to help predict machinery failures.

Which Azure Cognitive Services service should you use?

A.
Anomaly Detector
A.
Anomaly Detector
Answers
B.
Cognitive Search
B.
Cognitive Search
Answers
C.
Form Recognizer
C.
Form Recognizer
Answers
D.
Custom Vision
D.
Custom Vision
Answers
Suggested answer: A

Explanation:

E xp I an ati o n/Ref e re n ce:

You plan to provision a QnA Maker service in a new resource group named RG1.

In RG1, you create an App Service plan named AP1.

Which two Azure resources are automatically created in RG1 when you provision the QnA Maker service? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A.
Language Understanding
A.
Language Understanding
Answers
B.
Azure SQL Database
B.
Azure SQL Database
Answers
C.
Azure Storage
C.
Azure Storage
Answers
D.
Azure Cognitive Search
D.
Azure Cognitive Search
Answers
E.
Azure App Service
E.
Azure App Service
Answers
Suggested answer: D, E

Explanation:

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/set-up-qnamaker-service-azure?tabs=v1#delete-azure-resources

You are building a language model by using a Language Understanding service.

You create a new Language Understanding resource.

You need to add more contributors.

What should you use?

A.
a conditional access policy in Azure Active Directory (Azure AD)
A.
a conditional access policy in Azure Active Directory (Azure AD)
Answers
B.
the Access control (IAM) page for the authoring resources in the Azure portal
B.
the Access control (IAM) page for the authoring resources in the Azure portal
Answers
C.
the Access control (IAM) page for the prediction resources in the Azure portal
C.
the Access control (IAM) page for the prediction resources in the Azure portal
Answers
Suggested answer: B

Explanation:

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-collaborate

DRAG DROP

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.

Question 77
Correct answer: Question 77

Explanation:

Box 1: AddPhraseListAsync

Example: Add phraselist feature

var phraselistId = await client.Features.AddPhraseListAsync(appId, versionId, new PhraselistCreateObject {

EnabledForAllModels = false,

IsExchangeable = true,

Name = "QuantityPhraselist",

Phrases = "few,more,extra"

});

Box 2: PhraselistCreateObject

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api

DRAG DROP

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.)

Question 78
Correct answer: Question 78

Explanation:

Step 1: Export the model using the Export for containers (GZIP) option.

Export versioned app's package from LUIS portal

The versioned app's package is available from the Versions list page.

1. Sign on to the LUIS portal.

2. Select the app in the list.

3. Select Manage in the app's navigation bar.

4. Select Versions in the left navigation bar.

5. Select the checkbox to the left of the version name in the list.

6. Select the Export item from the contextual toolbar above the list.

7. Select Export for container (GZIP).

8. The package is downloaded from the browser.

Step 2: Select v1.1 of app1.

A trained or published app packaged as a mounted input to the container with its associated App ID. Step 3: Run a contain and mount the model file.

Run the container, with the required input mount and billing settings.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto

HOTSPOT

You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:

Use a single key and endpoint to access multiple services.

Consolidate billing for future services that you might use.

Support the use of Computer Vision in the future.

How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question 79
Correct answer: Question 79

Explanation:

Box 1: PUT

Sample Request: PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/test-rg/providers/Microsoft.DeviceUpdate/accounts/contoso?api-version=2020-03-01-preview

Incorrect Answers:

PATCH is for updates.

Box 2: CognitiveServices

Microsoft Azure Cognitive Services provide us to use its pre-trained models for various Business Problems related to Machine Learning.

List of Different Services are:

Decision

Language (includes sentiment analysis)

Speech

Vision (includes OCR)

Web Search

Reference:

https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create

https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/

DRAG DROP

You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.

You need to ensure that the containerized deployments meet the following requirements:

Prevent billing and API information from being stored in the command-line histories of the devices that run the container. Control access to the container images by using Azure role-based access control (Azure RBAC).

Which four 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 four.)

NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Question 80
Correct answer: Question 80

Explanation:

Step 1: Pull the Anomaly Detector container image.

Step 2: Create a custom Dockerfile

Step 3: Push the image to an Azure container registry.

To push an image to an Azure Container registry, you must first have an image.

Step 4: Distribute the docker run script

Use the docker run command to run the containers.

Reference:

https://docs.microsoft.com/en-us/azure/container-registry/container-registry-intro

Total 309 questions
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