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NEW QUESTION: 1
DRAG DROP
You are developing a Windows Store app that allows the user to write reviews for a
company's products.
The product selection page must switch to a vertical list layout when the app is snapped.
You need to ensure that the product layout is updated.
Which four actions should you perform in sequence? (To answer, move the appropriate
actions from the list of actions to the answer area and arrange them in the correct order.)
Answer:
Explanation:
NEW QUESTION: 2
Examine the output from R1. Interface FastEthernet0/0 is used for all management of the device. A client is able to connect to R1 on port 22, however, they are unable to connect on port 23. What is the cause of the problem?
A. Management Plane Protection (MPP) is enabled, however telnet is not allowed
B. Management Plane Protection (MPP) is enabled, which only allows SSH
C. Management Plane Protection (MPP) is enabled on the wrong interface
D. Telnet and SSH are not allowed at the same time.
Answer: A
NEW QUESTION: 3
イベント中のコール数を推定する回帰モデルを構築しています。
特徴値がポアソン回帰モデルを構築する条件を満たしているかどうかを判断する必要があります。
機能セットに含める必要がある2つの条件はどれですか？私は正しい答えが解決策の一部を提示します。注意：
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。
A. データは整数でなければなりません。
B. ラベルデータは正でも負でもかまいませんが、
C. ラベルデータは負の値でなければなりません。
D. ラベルデータは非離散でなければなりません。
E. ラベルデータは正の値である必要があります
Answer: A,E
Explanation:
Poisson regression is intended for use in regression models that are used to predict numeric values, typically counts. Therefore, you should use this module to create your regression model only if the values you are trying to predict fit the following conditions:
The response variable has a Poisson distribution.
Counts cannot be negative. The method will fail outright if you attempt to use it with negative labels.
A Poisson distribution is a discrete distribution; therefore, it is not meaningful to use this method with non-whole numbers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression
NEW QUESTION: 4
以下は、ObjectServerプロファイルログファイルに記録された出力例です。
NCHOME / omnibus / log /NCOMS_profiler_report.log。
クライアント接続がObjectServerの粒度期間の29.98秒を費やしている理由を判断するために何を確認しますか？
A. 最高のプローブクライアントからのイベントフラッド
B. 最高のデスクトップクライアントによって使用されるイベントリストフィルター
C. nco_sqlを介して発行されたSQLコマンド
D. 最高のObjectServerトリガー内のSQL
Answer: D
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