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NEW QUESTION: 1
Service Requests are often repetitive. Which action allows the Service Desk Agent to administer a predetermined set of values to the ticket?
A. Change status
B. Apply Service Request Template.
C. Select/Deselect SLAs.
D. Apply SLA .
Answer: B

NEW QUESTION: 2
共有制御環境を評価する最良の方法は、保証レポートを取得し、次のうちどれを確認することですか？
A. 補足的なユーザーエンティティコントロール
B. マスターサービス契約
C. 自己評価の管理
D. サービスレベル契約
Answer: A

NEW QUESTION: 3
You develop an app that allows users to upload photos and videos to Azure storage. The app uses a storage REST API call to upload the media to a blob storage account named Account1. You have blob storage containers named Container1 and Container2.
Uploading of videos occurs on an irregular basis.
You need to copy specific blobs from Container1 to Container2 when a new video is uploaded.
What should you do?
A. Use AzCopy with the Snapshot switch to copy blobs to Container2
B. Create an Event Grid topic that uses the Start-AzureStorageBlobCopy cmdlet
C. Download the blob to a virtual machine and then upload the blob to Container2
D. Copy blobs to Container2 by using the Put Blob operation of the Blob Service REST API
Answer: B
Explanation:
The Start-AzureStorageBlobCopy cmdlet starts to copy a blob.
Example 1: Copy a named blob
C:\PS>Start-AzureStorageBlobCopy -SrcBlob "ContosoPlanning2015" -DestContainer "ContosoArchives" -SrcContainer "ContosoUploads" This command starts the copy operation of the blob named ContosoPlanning2015 from the container named ContosoUploads to the container named ContosoArchives.
Reference:
https://docs.microsoft.com/en-us/powershell/module/azure.storage/start-azurestorageblobcopy?view=azurermps-6.13.0

NEW QUESTION: 4
Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.
A. Secondary NameNode
B. NameNode
C. TaskTracker
D. JobTracker
E. DataNode
Answer: D
Explanation:
JobTracker is the daemon service for submitting and tracking MapReduce jobs in
Hadoop. There is only One Job Tracker process run on any hadoop cluster. Job Tracker runs on
its own JVM process. In a typical production cluster its run on a separate machine. Each slave
node is configured with job tracker node location. The JobTracker is single point of failure for the
Hadoop MapReduce service. If it goes down, all running jobs are halted. JobTracker in Hadoop
performs following actions(from Hadoop Wiki:)
Client applications submit jobs to the Job tracker.
The JobTracker talks to the NameNode to determine the location of the data
The JobTracker locates TaskTracker nodes with available slots at or near the data
The JobTracker submits the work to the chosen TaskTracker nodes.
The TaskTracker nodes are monitored. If they do not submit heartbeat signals often enough, they
are deemed to have failed and the work is scheduled on a different TaskTracker.
A TaskTracker will notify the JobTracker when a task fails. The JobTracker decides what to do
then: it may resubmit the job elsewhere, it may mark that specific record as something to avoid,
and it may may even blacklist the TaskTracker as unreliable. When the work is completed, the JobTracker updates its status.
Client applications can poll the JobTracker for information.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What is a JobTracker in Hadoop? How many instances of JobTracker run on a Hadoop Cluster?