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NEW QUESTION: 1
Which of the following statements about system hardening are true? (Choose two)
A. It is used for securing the computer hardware.
B. It can be achieved by locking the computer room.
C. It can be achieved by installing service packs and security updates on a regular basis.
D. It is used for securing an operating system.
Answer: C,D
Explanation:
Explanation/Reference:
Explanation:
System hardening is a term used for securing an operating system. It can be achieved by installing the latest service packs, removing unused protocols and services, and limiting the number of users with administrative privileges.

NEW QUESTION: 2
Universal Containersは、フィールド技術者に、サービスアポイントメントのいずれかが時間どおりに完了しないリスクがあるかどうかを示すことを望んでいます。彼らは、クイックアクションを使用してモバイルデバイスでこれを実現することを望んでいます。この要件を達成するためにコンサルタントは何を推奨する必要がありますか？
A. 「InJeopardy」の「ServiceAppointment」フィールドを更新します。
B. Service AppointmentChatterフィードを更新します。
C. [サービス予定ステータス]フィールドを更新します。
D. 後で使用するためにサービスの予定を再スケジュールします。
Answer: B

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
A company is developing a solution to manage inventory data for a group of automotive repair shops. The solution will use Azure Synapse Analytics as the data store.
Shops will upload data every 10 days.
Data corruption checks must run each time data is uploaded. If corruption is detected, the corrupted data must be removed.
You need to ensure that upload processes and data corruption checks do not impact reporting and analytics processes that use the data warehouse.
Proposed solution: Configure database-level auditing in Azure Synapse Analytics and set retention to 10 days.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Instead, create a user-defined restore point before data is uploaded. Delete the restore point after data corruption checks complete.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/backup-and-restore