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NEW QUESTION: 1

A. Option A
B. Option B
C. Option C
Answer: B
Explanation:
Explanation
Integrity: Integrity for data means that changes made to data are done only by authorized individuals/systems.
Corruption of data is a failure to maintain data integrity.
Source: Cisco Official Certification Guide, Confidentiality, Integrity, and Availability, p.6

NEW QUESTION: 2
Which of the following phases is involved in the Data Extraction, Validation, Aggregation and Analysis?
A. Requirements gathering, Data access, Data validation, Data analysis, and Reporting and corrective action
B. Risk response and Risk monitoring
C. Risk identification, Risk assessment, Risk response and Risk monitoring
D. Data access and Data validation
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The basic concepts related to data extraction, validation, aggregation and analysis is important as KRIs often rely on digital information from diverse sources. The phases which are involved in this are:
Requirements gathering: Detailed plan and project's scope is required for monitoring risks. In the case

of a monitoring project, this step should involve process owners, data owners, system custodians and other process stakeholders.
Data access: In the data access process, management identifies which data are available and how

they can be acquired in a format that can be used for analysis. There are two options for data extraction:
- Extracting data directly from the source systems after system owner approval
- Receiving data extracts from the system custodian (IT) after system owner approval Direct extraction is preferred, especially since this involves management monitoring its own controls, instead of auditors/third parties monitoring management's controls. If it is not feasible to get direct access, a data access request form should be submitted to the data owners that detail the appropriate data fields to be extracted. The request should specify the method of delivery for the file.
Data validation: Data validation ensures that extracted data are ready for analysis. One of its important

objective is to perform tests examining the data quality to ensure data are valid complete and free of errors. This may also involve making data from different sources suitable for comparative analysis.
Following concepts should be considered while validating data:
- Ensure the validity, i.e., data match definitions in the table layout
- Ensure that the data are complete
- Ensure that extracted data contain only the data requested
- Identify missing data, such as gaps in sequence or blank records
- Identify and confirm the validity of duplicates
- Identify the derived values
- Check if the data given is reasonable or not
- Identify the relationship between table fields
- Record, in a transaction or detail table, that the record has no match in a master table Data analysis: Analysis of data involves simple set of steps or complex combination of commands and

other functionality. Data analysis is designed in such a way to achieve the stated objectives from the project plan. Although this may be applicable to any monitoring activity, it would be beneficial to consider transferability and scalability. This may include robust documentation, use of software development standards and naming conventions.
Reporting and corrective action: According to the requirements of the monitoring objectives and the

technology being used, reporting structure and distribution are decided. Reporting procedures indicate to whom outputs from the automated monitoring process are distributed so that they are directed to the right people, in the right format, etc. Similar to the data analysis stage, reporting may also identify areas in which changes to the sensitivity of the reporting parameters or the timing and frequency of the monitoring activity may be required.
Incorrect Answers:
D: These are the phases that are involved in risk management.

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
You work for a company named Contoso, Ltd.
The network contains an Active Directory forest named contoso.com. A forest trust exists between contoso.com and an Active Directory forest named adatum.com.
The contoso.com forest contains the objects configured as shown in the following table.

Group1 and Group2 contain only user accounts.
Contoso hires a new remote user named User3. User3 will work from home and will use a computer named Computer3 that runs Windows 10. Computer3 is currently in a workgroup.
An administrator named Admin1 is a member of the Domain Admins group in the contoso.com domain.
From Active Directory Users and Computers, you create an organizational unit (OU) named OU1 in the contoso.com domain, and then you create a contact named Contact1 in OU1.
An administrator of the adatum.com domain runs the Set-ADUser cmdlet to configure a user named User1 to have a user logon name of [email protected].
End or repeated scenario.
You need to ensure that Admin1 can add Group2 as a member of Group3.
What should you modify?
A. Set Admin1 as the manager of Group3.
B. Modify the Security settings of Group3.
C. Modify the group type of Group3.
D. Modify the group scope of Group3.
Answer: D

NEW QUESTION: 4
セキュリティ管理者は、Amazon S3でホストされるウェブサイトを持っています。管理者には次の要件が与えられています。
*ユーザーは、Amazon CloudFrontディストリビューションを使用してウェブサイトにアクセスできます。
*ユーザーは、Amazon S3 URLを使用してウェブサイトに直接アクセスすることはできません。
これらの要件をサポートする構成はどれですか？ （2つ選択してください。）
A. オリジンアクセスIDをCloudFrontディストリビューションに関連付けます。
B. オリジンアクセスIDのみがバケットのコンテンツにアクセスできるように、S3バケットのアクセス許可を変更します。
C. VPCエンドポイントからのみアクセスできるようにS3バケットポリシーを設定し、CloudFrontディストリビューションを指定されたVPCに配置します。
D. 目的のCloudFrontディストリビューションを使用することによってのみS3バケットにアクセスできるように、セキュリティグループを実装します。
E. S3バケットポリシーに「プリンシパル」：「cloudfront.amazonaws.com」条件を実装します。
Answer: A,B