You plan to deploy the Text Analytics and Computer Vision services. The Azure Cognitive Services will be deployed to the West US and East Europe Azure regions.
You need to identify the minimum number of service endpoints and API keys required for the planned deployment.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1: 2
After creating a Cognitive Service resource in the Azure portal, you'll get an endpoint and a key for authenticating your applications. You can access Azure Cognitive Services through two different resources: A multi-service resource, or a single-service one.
Multi-service resource: Access multiple Azure Cognitive Services with a single key and endpoint.
Note: You need a key and endpoint for a Text Analytics resource. Azure Cognitive Services are represented by Azure resources that you subscribe to.
Each request must include your access key and an HTTP endpoint. The endpoint specifies the region you chose during sign up, the service URL, and a resource used on the request Box 2: 2 You need at least one key per region.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account

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You have a container image that contains an Al solution. The solution will be used on demand and will only be needed a few hours each month.
You plan to use Azure Functions to deploy the environment on-demand.
You need to recommend the deployment process. The solution must minimize costs.
Which four actions should you recommend Azure Functions 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.

Correct Answer:

Explanation

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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 not appear in the review screen.
You create several Al models in Azure Machine Learning Studio.
You deploy the models to a production environment.
You need to monitor the compute performance of the models.
Solution: You enable Applnsights diagnostics.
Does this meet the goal?

• A.Yes
• B.No

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You have a Face API solution that updates in real time. A pilot of the solution runs successfully on a small dataset.
When you attempt to use the solution on a larger dataset that continually changes, the performance degrades, slowing how long it takes to recognize existing faces.
You need to recommend changes to reduce the time it takes to recognize existing faces without increasing costs.
What should you recommend?

• A.Change the solution to use the Computer Vision API instead of the Face API.
• B.Separate training into an independent pipeline and schedule the pipeline to run daily.
• C.Change the solution to use the Bing Image Search API instead of the Face API.
• D.Distribute the face recognition inference process across many Azure Cognitive Services instances.

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Your company has a data team of Transact-SQL experts.
You plan to ingest data from multiple sources into Azure Event Hubs.
You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team's existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.

• A.Azure Notification Hubs
• B.Azure Event Grid
• C.Apache Kafka streams
• D.Azure Stream Analytics

Correct Answer: B

Explanation
Event Hubs Capture is the easiest way to automatically deliver streamed data in Event Hubs to an Azure Blob storage or Azure Data Lake store. You can subsequently process and deliver the data to any other storage destinations of your choice, such as SQL Data Warehouse or Cosmos DB.
You to capture data from your event hub into a SQL data warehouse by using an Azure function triggered by an event grid.
Example:

First, you create an event hub with the Capture feature enabled and set an Azure blob storage as the destination. Data generated by WindTurbineGenerator is streamed into the event hub and is automatically captured into Azure Storage as Avro files.
Next, you create an Azure Event Grid subscription with the Event Hubs namespace as its source and the Azure Function endpoint as its destination.
Whenever a new Avro file is delivered to the Azure Storage blob by the Event Hubs Capture feature, Event Grid notifies the Azure Function with the blob URI. The Function then migrates data from the blob to a SQL data warehouse.
References:
https://docs.microsoft.com/en-us/azure/event-hubs/store-captured-data-data-warehouse

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