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NEW QUESTION: 1
View the Exhibit and examine the result of Automatic SQL Tuning for a period. None of the recommended SQL profiles are implemented. What would you do to allow the Automatic SQL Tuning implement the SQL profiles automatically?

A. Set the OPTIMIZER_MODE parameter to ALL_ROWS for the database instance.
B. Set the OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES parameter to TRUE for the database instance.
C. Use the DBMS_SQLTUNE.SET_TUNING_TASK_PARAMETERS procedure to set ACCEPT_SQL_PROFILES to TRUE.
D. Set the SQLTUNE_CATEGORY parameter to DEFAULT for the database instance.
Answer: C

NEW QUESTION: 2
A company uses Dynamics 365 Finance and Dynamic 365 Chain Management. The company is transitioning from a traditional discrete manufacturing shop floor layout to a lean manufacturing layout with work cells and inventory stores.
The company must be able to try out various configuration of existing equipment to maximize product and efficiently use all of the space within the existing plant without disrupting production.
You need to recommend a solution.
What should you recommend?
A. Layout
B. Power Virtual Agents
C. Remote Assist
D. Guides
Answer: D

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