70-475日本語 無料問題集「Microsoft Design and Implement Big Data Analytics Solutions (70-475日本語版)」
正解：
Explanation
Box 1: TumblingWindow(second, 10)
Tumbling Windows define a repeating, non-overlapping window of time.
Example: Calculate the count of sensor readings per device every 10 seconds SELECT sensorId, COUNT(*) AS Count FROM SensorReadings TIMESTAMP BY time GROUP BY sensorId, TumblingWindow(second, 10) Box 2: [Count] >= 3 Count(*) returns the number of items in a group.
正解：
Explanation
Perform these operations in the following order:
* Create a data factory.
* Create linked services.
* Create datasets.
* Create a pipeline.
Step 1: New-AzureRMDataFactory
Create a data factory
The New-AzureRmDataFactory cmdlet creates a data factory with the specified resource group name and location.
Step 2: New-AzureRMDataFactoryLinkedService
Create linked services in a data factory to link your data stores and compute services to the data factory.
The New-AzureRmDataFactoryLinkedService cmdlet links a data store or a cloud service to Azure Data Factory.
Step 3: New-AzureRMDataFactoryDataset
You define a dataset that represents the data to copy from a source to a sink. It refers to the Azure Storage linked service you created in the previous step.
The New-AzureRmDataFactoryDataset cmdlet creates a dataset in Azure Data Factory.
Step 4: New-AzureRMDataFactoryPipeline
You create a pipeline.
The New-AzureRmDataFactoryPipeline cmdlet creates a pipeline in Azure Data Factory.
References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-powershell
https://docs.microsoft.com/en-us/powershell/module/azurerm.datafactories/new-azurermdatafactory
正解：
Explanation
Box 1. A sliding Window
Box 2: A sliding Window
With a Sliding Window, the system is asked to logically consider all possible windows of a given length and output events for cases when the content of the window actually changes - that is, when an event entered or existed the window.