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NEW QUESTION: 1
あなたは、Salesという名前のMicrosoft Office 365グループのメンバーです。 Word Onlineを使用して顧客の提案を作成します。
すべてのチームメンバーは、同時にプロポーザルを確認および変更できる必要があります。提案が完了したら、最終ドキュメントを読み取り専用形式で顧客と共有する必要があります。
顧客にドキュメントの最新バージョンが表示されるようにする必要があります。

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/office365/admin/setup/set-up-file-storage-and-sharing?view=o365-worldwide

NEW QUESTION: 2
SysOps管理者が、インターネットからプライベートサブネットのインスタンスにパッチをダウンロードしようとしています。 VPC用のインターネットゲートウェイが存在し、パブリックサブネットにNATゲートウェイが展開されています。ただし、インスタンスにはインターネット接続がありません。プライベートサブネットに展開されるリソースは、パブリックインターネットから直接アクセスできない必要があります。

提供された情報を前提として、この問題に対処するためにプライベートサブネットのルートテーブルに追加する必要があるもの。
A. 0.0.0.0/0IGW
B. 10.0.1.0/24NAT
C. 0.0.0.0/0NAT
D. 10.0.1.0/24 IGW
Answer: C

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

NEW QUESTION: 4
Refer to the exhibit.

In a Cisco Finesse 10.0(x) deployment, in Supervisor Gadget under the Queue Statistics pane, which option describes what the Other column represents?
A. number of agents assigned to the queue who are on inbound calls
B. number of agents assigned to the queue who are on outbound calls
C. number of agents assigned to the queue who are on internal consult calls
D. number of agents assigned to the other queues
E. number of calls handled by the agents associated with that queue
Answer: C