Free DP-203 Exam Braindumps (page: 39)

Page 39 of 94

You have two Azure Data Factory instances named ADFdev and ADFprod. ADFdev connects to an Azure DevOps Git repository. You publish changes from the main branch of the Git repository to ADFdev.
You need to deploy the artifacts from ADFdev to ADFprod. What should you do first?

  1. From ADFdev, modify the Git configuration.
  2. From ADFdev, create a linked service.
  3. From Azure DevOps, create a release pipeline.
  4. From Azure DevOps, update the main branch.

Answer(s): C

Explanation:

In Azure Data Factory, continuous integration and delivery (CI/CD) means moving Data Factory pipelines from one environment (development, test, production) to another.

Note:
The following is a guide for setting up an Azure Pipelines release that automates the deployment of a data factory to multiple environments.

In Azure DevOps, open the project that's configured with your data factory. On the left side of the page, select Pipelines, and then select Releases.
Select New pipeline, or, if you have existing pipelines, select New and then New release pipeline. In the Stage name box, enter the name of your environment.
Select Add artifact, and then select the git repository configured with your development data factory. Select the publish branch of the repository for the Default branch. By default, this publish branch is adf_publish.
Select the Empty job template.


Reference:

https://docs.microsoft.com/en-us/azure/data-factory/continuous-integration-deployment



You are developing a solution that will stream to Azure Stream Analytics. The solution will have both streaming data and reference data. Which input type should you use for the reference data?

  1. Azure Cosmos DB
  2. Azure Blob storage
  3. Azure IoT Hub
  4. Azure Event Hubs

Answer(s): B

Explanation:

Stream Analytics supports Azure Blob storage and Azure SQL Database as the storage layer for Reference Data.


Reference:

https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-data



You are designing an Azure Stream Analytics job to process incoming events from sensors in retail environments.

You need to process the events to produce a running average of shopper counts during the previous 15 minutes, calculated at five-minute intervals. Which type of window should you use?

  1. snapshot
  2. tumbling
  3. hopping
  4. sliding

Answer(s): C

Explanation:

Unlike tumbling windows, hopping windows model scheduled overlapping windows. A hopping window specification consist of three parameters: the timeunit, the windowsize (how long each window lasts) and the hopsize (by how much each window moves forward relative to the previous one).


Reference:

https://docs.microsoft.com/en-us/stream-analytics-query/tumbling-window-azure-stream-analytics



HOTSPOT (Drag and Drop is not supported)
You are designing a monitoring solution for a fleet of 500 vehicles. Each vehicle has a GPS tracking device that sends data to an Azure event hub once per minute.

You have a CSV file in an Azure Data Lake Storage Gen2 container. The file maintains the expected geographical area in which each vehicle should be.

You need to ensure that when a GPS position is outside the expected area, a message is added to another event hub for processing within 30 seconds. The solution must minimize cost.

What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



Box 1: Azure Stream Analytics Box 2: Hopping
Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap and be emitted more often than the window size. Events can belong to more than one Hopping window result set. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.
Box 3: Point within polygon


Reference:

https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions



Page 39 of 94



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