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NEW QUESTION: 1
During the first quarter of the calendar year, Worth Co. had income before taxes of $100,000, and its effective income tax rate was 15%. Worth's effective annual income tax rate for the previous year was 30%. Worth expects that its effective annual income tax rate for the current year will be 25%. The statutory tax rate for the current year is 35%. In its first quarter interim income statement, what amount of income tax expense should Worth report?
A. $35,000
B. $15,000
C. $30,000
D. $25,000
Answer: D

NEW QUESTION: 2
What is required for file system creation on Unity?
A. NAS Server
B. DNS configuration
C. Shares
D. NTP configuration
Answer: A
Explanation:
References:
https://www.dellemc.com/en-us/documentation/unity-family/unity-p-configure-nfs-file-sharing/03-unity-nfs-c-ch-configuring-file-systems.htm

NEW QUESTION: 3

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

NEW QUESTION: 4
Azure Machine Learning Studioの2クラスニューラルネットワークモジュールを使用して、バイナリ分類モデルを構築します。 Tune Model Hyperparametersモジュールを使用して、モデルの精度を調整します。
Tune Model Hyperparametersモジュールを使用して、調整する必要があるハイパーパラメーターを選択する必要があります。
どの2つのハイパーパラメーターを使用する必要がありますか？それぞれの正解はソリューションの一部を示しています。
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。
A. The type of the normalizer
B. Number of learning iterations
C. Learning Rate
D. Hidden layer specification
E. Number of hidden nodes
Answer: B,D
Explanation:
説明
D：学習反復回数に、アルゴリズムがトレーニングケースを処理する最大回数を指定します。
E：非表示層の仕様では、作成するネットワークアーキテクチャのタイプを選択します。
入力レイヤーと出力レイヤーの間に、複数の非表示レイヤーを挿入できます。ほとんどの予測タスクは、1つまたはいくつかの隠されたレイヤーだけで簡単に実行できます。
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network