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NEW QUESTION: 1
DRAG DROP You are designing a SQL Server Integration Services (SSIS) package. The package moves order-related data to a staging table named Order. Every night the staging data is truncated and then all the recent orders from the online store database are inserted into the staging table. Your package must meet the following requirements:
If the truncate operation fails, the package execution must stop and report an error.
If the Data Flow task that moves the data to the staging table fails, the entire refresh operation must be rolled back.
For auditing purposes, a log entry must be entered in a SQL log table after each execution of the Data Flow task.
The TransactionOption property for the package is set to Required. You need to design the package to meet the requirements. How should you design the control flow for the package? (To answer, drag the appropriate setting from the list of settings to the correct location or locations in the answer area.)
Select and Place:

Answer:
Explanation:

Explanation:
According to these references, this answer looks correct.
References: http://msdn.microsoft.com/en-us/library/ms137690.aspx http://msdn.microsoft.com/en-us/library/ms141144.aspx

NEW QUESTION: 2

A. Option A
B. Option B
C. Option D
D. Option E
E. Option C
Answer: C,E
Explanation:
* scenario: You plan to change the way customers are classified. The new classifications will have four levels based on the number of orders. Classifications may be removed or added in the future.
Incorrect: not E: Change data capture provides information about DML changes on a table and a database. By using change data capture, you eliminate expensive techniques such as user
triggers, timestamp columns, and join queries.

NEW QUESTION: 3
Which of the following assumptions underlie the 'square root of time' rule used for computing VaR estimates over different time horizons?
I. the portfolio is static from day to day
II. asset returns are independent and identically distributed (i.i.d.)
III. volatility is constant over time
IV. no serial correlation in the forward projection of volatility
V. negative serial correlations exist in the time series of returns
VI. returns data display volatility clustering
A. I, II, III and IV
B. I and II
C. I, II, V and VI
D. III, IV, V and VI
Answer: A
Explanation:
Explanation
The square root of time rule can be used to convert, say a 1-day VaR to a 10-day VaR, by multiplying the known number by the square root of time to get the VaR over a different time horizon. However, there are key assumptions that underlie the application of this rule, and statements I to IV correctly state those assumptions.
Statements V and VI are not correct, because the application of the square root of time rule requires the absence of serial correlations, and also the absence of volatility clustering (ie independence). Therefore Choice
'c' is the correct answer.
The square root of time rule is also applied to convert volatility or standard deviation for one period to the volatility for a different time period. Remember that VaR is just a multiple of volatility, and therefore the assumptions that apply to the square root of time rule for VaR also apply to the same rule when used in the context of volatilities or standard deviation.

NEW QUESTION: 4
Which two steps should you perform to install a local printer that connects directly to your personal computer? (Each correct answer presents part of the solution. Choose two.)
A. Use the Add Network Printer feature from Control Panel.
B. Follow the manufacturer's directions by using the installation CD provided along with the printer.
C. Connect the printer to an available USB port and allow Windows to locate and install the appropriate driver.
D. Connect the Ethernet cable from your printer to the RJ45 connector on the personal computer and follow the Windows prompts.
Answer: A,C