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NEW QUESTION: 1
The type of discretionary access control (DAC) that is based on an individual's identity is also called:
A. Lattice-based Access control
B. Rule-based Access control
C. Non-Discretionary Access Control
D. Identity-based Access control
Answer: D
Explanation:
An identity-based access control is a type of Discretionary Access Control
(DAC) that is based on an individual's identity.
DAC is good for low level security environment. The owner of the file decides who has
access to the file.
If a user creates a file, he is the owner of that file. An identifier for this user is placed in the
file header and/or in an access control matrix within the operating system.
Ownership might also be granted to a specific individual. For example, a manager for a
certain department might be made the owner of the files and resources within her
department. A system that uses discretionary access control (DAC) enables the owner of
the resource to specify which subjects can access specific resources.
This model is called discretionary because the control of access is based on the discretion
of the owner. Many times department managers, or business unit managers , are the
owners of the data within their specific department. Being the owner, they can specify who
should have access and who should not.
Reference(s) used for this question:
Harris, Shon (2012-10-18). CISSP All-in-One Exam Guide, 6th Edition (p. 220). McGraw-
Hill . Kindle Edition.

NEW QUESTION: 2
次の表に示すAzureリソースを含むAzureの注文処理システムを設計しています。

注文処理システムには、次のトランザクションフローがあります。
顧客はApp1を使用して注文します。
注文を受け取ると、App1はベンダー1とベンダー2での製品の入手可能性を確認するメッセージを生成します。
統合コンポーネントはメッセージを処理し、注文のタイプに応じてFunction1またはFunction2のいずれかをトリガーします。
ベンダーが製品の入手可能性を確認すると、App1のステータスメッセージがFunction1またはFunction2によって生成されます。
トランザクションのすべてのステップがstorage1に記録されます。
統合コンポーネントにはどのタイプのリソースを推奨する必要がありますか？
統合コンポーネントにはどのタイプのリソースを推奨する必要がありますか？
A. Azure ServiceBusキュー
B. Azure DataFactoryパイプライン
C. Azure EventHubsのキャプチャ
D. Azureイベントグリッドドメイン
Answer: B
Explanation:
A data factory can have one or more pipelines. A pipeline is a logical grouping of activities that together perform a task.
The activities in a pipeline define actions to perform on your data.
Data Factory has three groupings of activities: data movement activities, data transformation activities, and control activities.
Azure Functions is now integrated with Azure Data Factory, allowing you to run an Azure function as a step in your data factory pipelines.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities

NEW QUESTION: 3
Identify the two true statements about alias tables.
A. Alias tables are set up to create a copy of the data with a filter applied to it.
B. Alias tables are set up to create another physical copy of the data.
C. Alias tables are set up to avoid triangular or circular joins.
D. Alias tables are set up to include best practice naming conventions for physical table names.
Answer: D
Explanation:
It is a best practice to create aliases for all tables. Aliases are created in the Physical Layer of the repository. Some of the benefits of using aliases are given below: (A) * An alias is used to avoid circular joins and to configure self joins.
*You can create a join relationship which is different than the actual foreign key relationship in the database. This helps in defining relationships to meet business model criteria.
*Aliases can function in numerous ways to define business model e.g. a table can act both as a dimension and a fact using aliases.
(B) * You can rename aliases to make physical and business model easier to understand.