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NEW QUESTION: 1
Which REST API method is used to create an authentication session ID?
A. PUT
B. POST
C. GET
D. PATCH
Answer: C

NEW QUESTION: 2
DRAG DROP
You have a SQL Azure database named Database1.
You need to design the schema for a table named table1. Table1 will have less than one million rows. Table1 will contain the following information for each row:

The solution must minimize the amount of space used to store each row. Which data types should you recommend for each column?
To answer, drag the appropriate data type to the correct column in the answer area.

Answer:
Explanation:

NEW QUESTION: 3
You need to create an Azure storage account through Azure Storage Services to support an Azure Windows virtual machine (VM). You want to keep subscription costs to a minimum.
What type of storage account should you create?
A. Premium storage performance tier
B. Blob hot access tier
C. Standard storage performance tier
D. Blob cool access tier
Answer: B
Explanation:
Explanation
References:
https://www.petri.com/choosing-azure-storage-account-type
https://docs.microsoft.com/en-us/azure/storage/common/storage-introduction

NEW QUESTION: 4
You develop data engineering solutions for a company.
A project requires an in-memory batch data processing solution.
You need to provision an HDInsight cluster for batch processing of data on Microsoft Azure.
How should you complete the PowerShell segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: New-AzStorageContainer
# Example: Create a blob container. This holds the default data store for the cluster.
New-AzStorageContainer `
-Name $clusterName `
-Context $defaultStorageContext
$sparkConfig = New-Object "System.Collections.Generic.Dictionary``2[System.String,System.String]"
$sparkConfig.Add("spark", "2.3")
Box 2: Spark
Spark provides primitives for in-memory cluster computing. A Spark job can load and cache data into memory and query it repeatedly. In-memory computing is much faster than disk-based applications than disk-based applications, such as Hadoop, which shares data through Hadoop distributed file system (HDFS).
Box 3: New-AzureRMHDInsightCluster
# Create the HDInsight cluster. Example:
New-AzHDInsightCluster `
-ResourceGroupName $resourceGroupName `
-ClusterName $clusterName `
-Location $location `
-ClusterSizeInNodes $clusterSizeInNodes `
-ClusterType $"Spark" `
-OSType "Linux" `
Box 4: Spark
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
References:
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-jupyter-spark-sql-use-powershell
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-overview