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NEW QUESTION: 1
A company is a leading provider for an online travel booking system with over a $1,000,000 turnover each
day. The company wants to leverage VMware cloud solutions to consolidate, scale, and ensure high
availability for all of its data centers,
Match each business requirement to its appropriate design concept.

Answer:
Explanation:

NEW QUESTION: 2
포괄적 인 IS 감사 정책에는 내부 감사 팀이 어떤 관련이 있어야하는지에 대한 세부 지침이 포함되어야 합니다.
A. 선택 사항이 없습니다.
B. 애플리케이션 개발 프로젝트의 인적 자원 관리주기.
C. 주요 WEB 애플리케이션의 획득 및 유지 관리.
D. 주요 OS 응용 프로그램 개발 및 코딩
E. 주요 응용 프로그램의 개발, 수집, 변환 및 테스트.
Answer: E
Explanation:
설명:
감사 정책에는 내부 감사가 주요 응용 프로그램의 개발, 획득, 변환 및 테스트에 어떤 영향을 미치는지에 대한 세부 지침이 포함되어야합니다. 이러한 정책은 최고 경영자의 승인을 받아야 효과적입니다.

NEW QUESTION: 3
Tran Holten, a quantitative analyst with Smith, Kleen & Beetchnutty Brokerage, has just been informed of an important error in one of his recent statistical endeavors. Specifically, in one hypothesis test, Mr. Holten rejected a null hypothesis that later was proven to be true. Which of the following best describes this type of error in hypothesis testing? Further, if the confidence level of the test were increased, would the probability of this error increase, decrease, or remain unchanged?
A. Type II error; remain unchanged
B. Type I error; decrease
C. Type II error; decrease
D. Type I error; remain unchanged
E. Type I error; increase
F. Type II error; increase
Answer: B
Explanation:
Explanation/Reference:
Explanation:
In this example, Tran Holten has incorrectly rejected a null hypothesis. This type of error in hypothesis testing is called a Type I error. In hypothesis testing, the Type I error is given much more attention than the Type II error. In most hypothesis tests, the probability of a null hypothesis is equal to the significance level of the test. A significance level of 0.01, for example, indicates that a 1% chance exists that the null hypothesis will be rejected when it is indeed true. Another way to think of the probability of a Type I error is to observe the following relationship:
{Probability of a Type I error = (1 - confidence level)}.
For example, a confidence level of 95% leaves a 5% probability of a Type I error occurring. If this confidence level were to increase to say, 98%, then the probability of a Type I error would reduce to 2%.
As you can see, there is a relationship between the confidence level of a test and the probability of a Type I error. If the confidence level of the test in this example were to increase, then the probability of a Type I error would decrease.

NEW QUESTION: 4
Cheryle would like to have access to her mail file while she is traveling and disconnected from the network. Once she arrives at her destination, she wants to connect to the network and synchronize her mail file updates with the server version of her mail file. How can she accomplish this?
A. Create a local copy of her mail file.
B. Create a local replica of her mail file.
C. Create a local mirror copy of her mail file.
D. Create a local synchronized copy of her mail file.
Answer: B