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NEW QUESTION: 1
管理者が企業ネットワークの承認済み侵入テストを開始しています。次のツールのうち、潜在的な攻撃を特定するのに最適なツールはどれですか。
A. Company directory
B. Netstat
C. Honeypot
D. Nmap
Answer: D

NEW QUESTION: 2
A customer needs to run a Linux application that is available for both x86 and POWERS
What is an advantage of a POWERS system for the requirement?
A. The ability to move live workloads without downtime
B. Better memory bandwidth on POWERS
C. More cores per socket on POWER8
D. More applications are compiled for POWERS than for x86.
Answer: A

NEW QUESTION: 3
Due to limited resources, a company must reduce their hardware budget while still maintaining availability. Which of the following would MOST likely help them achieve their objectives?
A. Network access control
B. Virtualization
C. Blade servers
D. Remote access
Answer: B

NEW QUESTION: 4
新しいAzureSQLデータベースがあります。データベースには、機密情報を格納する列が含まれています。
列の値がクエリで返されるたびに追跡する必要があります。追跡情報は、クエリが実行された日から365日間保存する必要があります。
どの3つのアクションを実行する必要がありますか？それぞれの正解は、解決策の一部を示しています。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. HighlyConfidentialという名前の感度ラベルを列に適用します。
B. 監査をオンにし、監査ログをAzureStorageアカウントに書き込みます。
C. AzureSQLサーバーの高度なデータセキュリティをオンにします。
D. 拡張プロパティを列に追加します。
E. Azure Advanced Threat Protection（ATP）をオンにします。
Answer: A,B,C
Explanation:
C: Advanced Data Security (ADS) is a unified package for advanced SQL security capabilities. ADS is available for Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics. It includes functionality for discovering and classifying sensitive data D: You can apply sensitivity-classification labels persistently to columns by using new metadata attributes that have been added to the SQL Server database engine. This metadata can then be used for advanced, sensitivity-based auditing and protection scenarios.
A: An important aspect of the information-protection paradigm is the ability to monitor access to sensitive data. Azure SQL Auditing has been enhanced to include a new field in the audit log called data_sensitivity_information. This field logs the sensitivity classifications (labels) of the data that was returned by a query. Here's an example:

Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overview