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NEW QUESTION: 1
프로젝트의 위험 평가 단계에서 CISO는 대학 내 대학이 자체 개발 한 응용 프로그램을 통해 PHI (Protected Health Information) 데이터를 수집하고 있음을 발견했습니다. 이 데이터를 수집하는 대학은 HIPAA (Health Insurance Portability and Accountability Act) 규정을 완전히 알고 있으며 이를 준수합니다.
CISO에 가장 적합한 방법은 무엇입니까?
다음은 BC / DR (Business Continuity / Disaster Recovery) 계획 작성의 일반적인 단계입니다. 나머지 BC \ DR 단계를 적절한 해당 위치로 끕니다.
Answer:
Explanation:
설명
NEW QUESTION: 2
会社は、モバイルワーカーが自分の場所の特定の半径内にある未割り当てのアクティビティを確認できるようにして、ルートに時間がある場合にそれらのジョブを割り当てて実行できるようにする必要があります。
その構成要件に対処するオプションはどれですか？
A. モバイルワーカーのユーザータイプのメインメニューコンテキスト内の[近くのアクティビティ]画面を有効にし、[ビジネスルール]画面の[近くの半径]パラメータを使用して特定の半径を設定します。
B. モバイルワーカーのユーザータイプのメインメニューコンテキスト内で[近くのアクティビティ]画面を有効にし、表示画面の[近くの半径]パラメータを使用して特定の半径を設定します。
C. モバイルワーカーのユーザータイプのアクティビティリストコンテキストに「近くのアクティビティ」アクションを追加し、表示画面の「近くの半径」パラメータを使用して特定の半径を設定します。
D. 「モバイルワーカーのアクティビティリストコンテキスト」ユーザータイプに「Nearby Activities1」アクションを追加し、[ビジネスルール]画面の[Nearby Radius]パラメータを使用して特定の半径を設定します。
Answer: B
NEW QUESTION: 3
You are designing an Azure application that stores data.
You have the following requirements:
* The data storage system must support storing more than 500 GB of data.
* Data retrieval must be possible from a large number of parallel threads.
* Threads must not block each other.
You need to recommend an approach for storing data.
What should you recommend?
A. Azure Notification Hubs
B. A single SQL database in Azure
C. Azure Queue storage
D. Azure Table storage
Answer: D
Explanation:
* Azure Table Storage can be useful for applications that must store large amounts of nonrelational data, and need additional structure for that data. Tables offer key-based access to unschematized data at a low cost for applications with simplified data-access patterns. While Azure Table Storage stores structured data without schemas, it does not provide any way to represent relationships between the data.
* As a solution architect/developer, consider using Azure Table Storage when:
/ Your application stores and retrieves large data sets and does not have complex relationships that require server-side joins, secondary indexes, or complex server-side logic.
/ You need to achieve a high level of scaling without having to manually shard your dataset.
Reference: https://msdn.microsoft.com/en-us/library/azure/jj553018.aspx