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NEW QUESTION: 1
After partially completing an internal control review of the accounts payable department, an auditor suspects that some type of fraud has occurred. To ascertain whether the fraud is present, the best sampling approach would be to use:
A. Simple random sampling to select a sample of vouchers processed by the department during the past year.
B. Judgmental sampling to select a sample of vouchers processed by clerks who were identified by the department manager as acting suspiciously.
C. Probability-proportional-to-size sampling to select a sample of vouchers processed by the department during the past year.
D. Discovery sampling to select a sample of vouchers processed by the department during the past year.
Answer: D
NEW QUESTION: 2
What are challenges when selecting traffic from UC&C soft devices for marking, in order to apply the appropriate prioritization? (Select two.)
A. UC&C traffic can share a port, mac, and VLAN combination with non-UC&C traffic.
B. UC&C traffic uses well-known port numbers.
C. UC&C traffic is routable.
D. UC&C traffic uses dynamic port numbers.
E. UC&C traffic is not peer-to-peer
Answer: B,C
Explanation:
Explanation/Reference:
C: UC&C signaling can be routed through centralized UC&C infrastructure components and that all interactions.
D (not A): UC&C signaling traffic is identified using the well know transport and port numbers used by the UC&C signaling protocol.
Reference: Automating QoS
http://johnacook.files.wordpress.com/2014/03/2014_02_27_use_case.pdf (page 7, bullet # 2)
NEW QUESTION: 3
Azure Machine Learning Studioで線形回帰モデルを開発しています。さまざまなアルゴリズムを比較する実験を実行します。
次の画像は、結果データセットの出力を示しています。
ドロップダウンメニューを使用して、画像に表示される情報に基づいて各質問に回答する回答の選択肢を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
NEW QUESTION: 4
You are developing a Windows Store app that allows users to compose musical beats and rhythms. The app must meet the following requirements:
You need to ensure that the app meets the requirements. How should the app save the work in progress?
A. by storing it in a memory-mapped file
B. by serializing it to a temporary app store
C. by serializing it to the local app store
D. by serializing it to the roaming app store
Answer: D