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NEW QUESTION: 1
How are the results of a signature analysis examined?
A. By sorting on the signature column in the Table view.
B. By sorting on the hash sets column in the Table view.
C. By sorting on the hash library column in the Table view.
D. By sorting on the category column in the Table view.
Answer: A

NEW QUESTION: 2
A server, which is used to collect data about the network and datacenter environment via SNMP, is running out of space. Which of the following should the server administrator implement to reduce disk utilization?
A. journald
B. logrotate
C. Snapshots
D. tar -cvf
Answer: C

NEW QUESTION: 3
セキュリティチームは、AWS Key Management Service（AWS KMS）暗号化を有効にするために、Amazon EC2インスタンスに接続されているすべてのAmazon EBSボリュームを必要とします。暗号化が有効になっていない場合、会社のポリシーでは、EBSボリュームを切り離して削除する必要があります。 DevOpsエンジニアは、暗号化されていないEBSボリュームの検出と削除を自動化する必要があります。最小の運用努力でこれを達成するために、エンジニアはどの方法を使用する必要がありますか？
A. EBSボリュームの作成時にAWS Lambda関数を呼び出すAmazon CloudWatch Eventsルールを作成します。 Lambda関数は、EBSボリュームの暗号化をチェックします。暗号化が有効になっておらず、ボリュームがインスタンスに接続されている場合、関数はボリュームを削除します。
B. AWS Configでルールを作成して、暗号化されていないEBSボリュームをチェックします。 AWS Configが変更通知を送信するAmazon SNSトピックにAWS Lambda関数をサブスクライブします。 Lambda関数は変更通知をチェックし、準拠していないEBSボリュームを削除します。
C. AWS Lambda関数を作成して、リージョン内のすべてのEBSボリュームを記述し、暗号化が有効になっていないEC2インスタンスにアタッチされているボリュームを識別します。次に、この機能はすべての非準拠ボリュームを削除します。 AWS Lambda関数は、Amazon CloudWatch Eventsのスケジュールされたルールによって5分ごとに呼び出されます。
D. ボリュームを記述および削除するアクセス許可を持つIAMロールでEC2インスタンスを起動します。 5分ごとにEC2インスタンスでスクリプトを実行して、すべてのリージョンのすべてのEBSボリュームを記述し、暗号化を有効にせずに接続されているボリュームを特定します。次に、スクリプトはそれらのボリュームを削除します。
Answer: C

NEW QUESTION: 4
Your company has on-premises Microsoft SQL Server instance.
The data engineering team plans to implement a process that copies data from the SQL Server instance to Azure Blob storage. The process must orchestrate and manage the data lifecycle.
You need to configure Azure Data Factory to connect to the SQL Server instance.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Deploy an Azure Data Factory
You need to create a data factory and start the Data Factory UI to create a pipeline in the data factory.
Step 2: From the on-premises network, install and configure a self-hosted runtime.
To use copy data from a SQL Server database that isn't publicly accessible, you need to set up a self-hosted integration runtime.
Step 3: Configure a linked service to connect to the SQL Server instance.
References:
https://docs.microsoft.com/en-us/azure/data-factory/connector-sql-server