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NEW QUESTION: 1
Welche Kalkulationspositionen gelten für eine Simulationskalkulation? (Wählen Sie drei aus)
A. T - Textelement
B. M - Material
C. E - Interne Aktivität
D. K - Kostenstelle
E. S - Kundenauftragsposition
Answer: A,B,C
NEW QUESTION: 2
A. Option E
B. Option B
C. Option A
D. Option C
E. Option D
Answer: E
Explanation:
Explanation
References:
https://anytecho.wordpress.com/2015/05/22/importing-group-policies-using-powershell-almost/
NEW QUESTION: 3
A system administrator must set up a backup strategy for a Qlik Sense shared persistence environment. This multi-node environment consists of one central node and two consumer nodes Which throe slops are required? (Select three )
A. Back up the certificates on the consumer nodes using MMC
B. Back up the log and app data in the file share
C. Back up the certificate of the central node using MMC
D. Back up the repository database on the central node
E. Back up the log and app data on the nodes
Answer: B,C,D
NEW QUESTION: 4
Azure Machine Learningのハイパードライブ機能を使用して、モデルをトレーニングするときに最適なハイパーパラメーター値を決定することを計画しています。
次のハイパーパラメータ値の組み合わせを試すには、ハイパードライブを使用する必要があります。
* Learning_rate：0.001〜0.1の任意の値
* batch_size：16、32、または64
Hyperdrive実験の検索スペースを構成する必要があります。
どの2つのパラメータ式を使用する必要がありますか？それぞれの正解は、解決策の一部を示しています。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. learning_rateの統一式
B. batch_sizeの選択式
C. batch_sizeの統一式
D. learning_rateの選択式
E. batch_sizeの通常の式
Answer: A,B
Explanation:
B: Continuous hyperparameters are specified as a distribution over a continuous range of values. Supported distributions include:
* uniform(low, high) - Returns a value uniformly distributed between low and high D: Discrete hyperparameters are specified as a choice among discrete values. choice can be:
* one or more comma-separated values
* a range object
* any arbitrary list object
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters