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NEW QUESTION: 1
시스템이 수행 한 기능에 대해 사용자에게 책임을 부여 할 수있는 기능을 가진 제어 목표를 달성하는 데 가장 도움이 되는 구현 된 제어는 무엇입니까?
A. 활동
B. 트랜잭션 오류 로깅.
C. 중복 하드웨어.
D. 프로그램 컷오프.
Answer: A
Explanation:
Activity logging provides an audit trail of user activity.

NEW QUESTION: 2
Which United States law is focused on PII as it relates to the financial industry?
A. GLBA
B. HIPAA
C. Safe Harbor
D. SOX
Answer: A
Explanation:
Explanation
The GLBA, as it is commonly called based on the lead sponsors and authors of the act, is officially known as
"The Financial Modernization Act of 1999." It is specifically focused on PII as it relates to financial institutions. There are three specific components of it, covering various areas and use, on top of a general requirement that all financial institutions must provide all users and customers with a written copy of their privacy policies and practices, including with whom and for what reasons their information may be shared with other entities.

NEW QUESTION: 3
You design a Business Intelligence (BI) solution by using SQL Server 2008. A data warehouse named CustomerDW contains a Fact table named FactCustomer. The FactCustomer table contains two columns named CustomerKey and CustomerSales. You create a data mining model named CustomerModel by using SQL Server 2008 Analysis Services (SSAS). A report that is developed by using SQL Server 2008 Reporting Services (SSRS) lists the top 50 customers based on the sales amount. The report extracts data from a SQL Server relational database. You add a column named UpSell to the report. You need to ensure that the UpSell column displays the probability values of the expensive products that customers are likely to purchase.
Which Data Mining Extensions (DMX) query should you use?
A. SELECT PredictProbability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT TOP 50 [CustomerKey], [CustomerSales] FROM FactCustomer ORDER BY [CustomerSales] ') AS t
B. SELECT PredictProbability(t.[UpSell]) as [UpSell], [CustomerKey], m.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT [CustomerKey], [CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
C. SELECT Probability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT [CustomerKey], [CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
D. SELECT PredictProbability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT TOP 50 [CustomerKey],[CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
Answer: D

NEW QUESTION: 4

A. Modify
B. Execute
C. Write
D. Delete
Answer: B