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Exam Code: CIS-CSM Dumps

Questions and Answers: 104

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NEW QUESTION: 1
Which of the following is the best encryption algorithm to encrypt and decrypt messages?
A. AES
B. RSA
C. TripleDES
D. DES
Answer: B

NEW QUESTION: 2
You are developing a Windows application.
The application will process data that is stored on the user's computer.
You plan to design a data storage strategy.
You need to ensure that the following requirements are met:
Local data can be accessed ony by the application
*Local data can be encrypted and compressed
*Local data can be shared between multiple users by sending them the data file by email
*Users must be able to open the data file directly from the email message
*Which local data storage technology should you use?
A. Microsoft SQL Server Express Edition database
B. XML File
C. Microsoft Access
D. Microsoft SQL Server Compact Edition database
Answer: D

NEW QUESTION: 3
ROI (Return on Investment ROI) 공식에 사용 된 분모는 한 조직 수준에서 수행 된 의사 결정의 효과와 다른 조직 수준에서 수행 된 재무 결정과 결합되므로 비판을 받습니다.
A. 운전 자본과 기타 자산.
B. 사용 가능한 총 자산.
C. 주식.
D. 사용 된 총 자산.
Answer: C
Explanation:
ROI equals income divided by invested capital. The denominator may be defined ink various ways, e.g., total assets available, assets employed, working capital plus other assets, and equity. If equity total assets -total liabilities) is chosen, a portion of longterm liabilities must be allocated to the investment center to determine the manager's resource base. One problem with this definition of the resource base is that, although it has the advantage of emphasizing return to owners, it reflects decisions at different levels of the entity: short-term liabilities incurred by the responsibility center operating decisions) and long-term liabilities controlled at the corporate level long-term financing decisions).

NEW QUESTION: 4
You are using a decision tree algorithm. You have trained a model that generalizes well at a tree depth equal to
10.
You need to select the bias and variance properties of the model with varying tree depth values.
Which properties should you select for each tree depth? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

Explanation

In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
References:
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/


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