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NEW QUESTION: 1
Your firm's EPS last year was $1.00. You expect sales to increase by 15 percent during the coming year. If your firm has a degree of operating leverage equal to 1.25 and a degree of financial leverage equal to 3.50, then what is its expected EPS?
A. $1.3481
B. $2.5843
C. $1.6563
Answer: C
Explanation:
EPS(0) = $1.00. DOL = 1.25. EPS(1) = ? %Change S = 15%. DFL = 3.50. DTL = DOL(DFL)
= 1.25(3.50) = 4.375. EPS(1) = EPS(0)[1.0 + (DTL)(%Change Sales)] = $1.00[1.0 + (4.375)(0.15)] =
$ 1.00[1.6563] = $1.6563.

NEW QUESTION: 2
You are implementing Azure Stream Analytics functions.
Which windowing function should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Tumbling
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

Box 2: Hoppping
Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.

Box 3: Sliding
Sliding window functions, unlike Tumbling or Hopping windows, produce an output only when an event occurs. Every window will have at least one event and the window continuously moves forward by an € (epsilon). Like hopping windows, events can belong to more than one sliding window.

References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

NEW QUESTION: 3

A. Option C
B. Option B
C. Option A
D. Option D
Answer: D

NEW QUESTION: 4
DevOpsエンジニアは、3層Webアプリケーションのコンポーネントを展開するツールを推奨するように依頼されました。このアプリケーションでは、Amazon DynamoDBをデータベースとして使用しますどの展開で最も少ない運用管理が必要ですか？
A. AWS CloudFormationを使用して、クラシックロードバランサーとAuto Scalingグループを作成します。 AWS OpsWorksを使用してアプリケーションとデータベースリソースを作成するライフサイクルイベントを使用してOpsWorksでアプリケーションの更新をデプロイする
B. AWS CloudFormationを使用して、クラシックロードバランサー、Auto Scalingグループ、およびデータベースリソースを作成するCloudFormationローリングアップデートを使用してアプリケーションアップデートをデプロイする
C. AWS OpsWorksを使用してClassic Load Balancer Auto Scalingおよびアプリケーションリソースを作成するAWS CloudFormationを使用してデータベースリソースを作成するCloudFormationローリング更新を使用してアプリケーション更新をデプロイする
D. AWS OpsWorksを使用して、クラシックロードバランサー、Auto Scalingグループアプリケーション、およびデータベースリソースを作成するOpsWorksライフサイクルイベントを使用してアプリケーションの更新をデプロイする
Answer: D

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