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NEW QUESTION: 1
As an employer, you believe it is always a good idea to pay people for their contributions to organizational results. Which of the following plans would likely be the key component of the compensation plan?
A. base pay
B. pay for knowledge
C. performance pay
D. indirect pay
Answer: C

NEW QUESTION: 2
MMM is a large national bank. MMM has developed a vision statement which states that it aims to:
* Provide superior returns to our shareholders
* Offer customers the best financial products on the market
* Continuously train and develop our staff
* Continually improve our business processes by utilising the latest information technology Which of the following would be an appropriate performance measure within a Balanced Scorecard for MMM?
A. Reduction in staff numbers to increase profit levels.
B. Number of training days per member of staff.
C. Undertake customer satisfaction surveys.
D. Ensure that all IT equipment used is not more than two years old.
Answer: B

NEW QUESTION: 3
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

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