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NEW QUESTION: 1
Refer to the exhibit.
A network administrator deploys a Mobility Master (MM)-Mobility Controller (MC) network with APs in different locations. Users in one of the locations report that the WiFi network works fine for several hours, ang then they are suddenly disconnected. The symptom may happen at any time, up to three times every day, and lasts no more than two minutes.
After some research, the network administrator logs into the MM and reviews the output shown in the exhibit.
Based on this information, the network administrator logs into the MM and reviews the output shown in the exhibit.
Based on this information, what is the most likely reason users get disconnected?
A. Users in the 2.4 GHz band are being affected by high interference.
B. AirMatch is reacting to non-scheduled RF events.
C. Adpative Radio Management is reacting to RF events.
D. AirMatch is applying a scheduled optimization solution.
Answer: A
NEW QUESTION: 2
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
NEW QUESTION: 3
All hosts on an IP network have a logical ID called a(n):
A. MAC address.
B. Datagram address.
C. TCP address.
D. IP address.
Answer: D
Explanation:
All hosts on a network have a logical ID that is called an IP address. An IP address is a numeric identifier that is assigned to each machine on an IP network. It designates the location of a device on a network. A MAC address is typically called a hardware address because it is "burned" into the NIC card. TCP address and Datagram address are imposter answers.
Source: KRUTZ, Ronald L. & VINES, Russel D., The CISSP Prep Guide: Mastering the
Ten Domains of Computer Security, 2001, John Wiley & Sons, Page 87.
NEW QUESTION: 4
You are tasked with setting up a cluster of EC2 Instances for a NoSOL database The database requires
random read 10 disk performance up to a 100.000 IOPS at 4KB block side per node
Which of the following EC2 instances will perform the best for this workload?
A. High I/O Quadruple Extra Large (hil 4xiarge) using instance storage
B. A Cluster GPU Quadruple Extra Large (cg1 4xlarge) using four separate 4000 PIOPS EBS volumes in
a RAID 0 configuration
C. A Cluster Compute Eight Extra Large (cc2 8xlarge) using instance storage
D. A High-Memory Quadruple Extra Large (m2 4xlarge) with EBS-Optimized set to true and a PIOPs EBS
volume
Answer: C