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NEW QUESTION: 1
Ordnen Sie den Azure-Dienst der richtigen Beschreibung zu.
Anleitung: Um zu antworten, ziehen Sie den entsprechenden Azure-Dienst aus der linken Spalte in die Beschreibung rechts. Jeder Dienst kann einmal, mehrmals oder gar nicht verwendet werden.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Abschnitt: Grundlegendes zu Azure-Kerndiensten
Answer:
Explanation:

NEW QUESTION: 2
조직에는 10 개의 부서가 있습니다. 조직은 각 부서의 AWS 사용을 추적하려고 합니다. 다음 중 언급 한 옵션 중 요구 사항을 충족시키는 것은 어느 것입니까?
A. 각 부서의 IAM 그룹을 설정하고 사용법을 추적합니다.
B. 각 부서별로 별도의 계정을 만들고 따로 추적합니다.
C. 부서마다 별도의 계정을 만들지 만 지불 및 추적을 위해 통합 결제를 사용하십시오.
D. 각 부서의 IAM 사용자를 설정하고 사용법을 추적합니다.
Answer: C
Explanation:
설명:
청구 목적으로 IAM 사용자 또는 그룹의 비용을 별도로 추적 할 수 없습니다.
이 경우 가장 좋은 해결책은 각 부서에 대해 별도의 계정을 만들고 통합 청구를 사용하는 것입니다.
http://docs.aws.amazon.com/IAM/latest/UserGuide/IAM_Introduction.html

NEW QUESTION: 3
Which of the following would be the least significant consideration when performing a risk analysis?
A. Financial exposure and potential loss.
B. Major operating changes.
C. Skills available within the audit staff.
D. Results of prior audits.
Answer: C

NEW QUESTION: 4
The four components of time series data are secular trend, cyclical variation, seasonality, and random variation. The seasonality in the data can be removed by:
A. Subtracting a seasonality factor from the data.
B. Taking the weighted average over four time periods.
C. Ignoring it.
D. Multiplying the data by a seasonality factor.
Answer: B
Explanation:
Time series analysis relies on past experience. Changes in the value of a variable may have several possible components including secular trends, cyclical variation, seasonality, and random variation. Seasonal variations are common in many businesses. A variety of methods exist for including seasonal variations in a forecasting model, but most methods use a seasonal index. Alternatively, seasonal variations can be removed from data by using a weighted average of several time periods instead of data from individual periods.

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