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NEW QUESTION: 1
Which of the following steps of IT governance program establishes a balanced scorecard mechanism for measuring current performance that are related to the IT governance focus areas?
A. Understand and define the risks
B. Define target areas
C. Measure results
D. Develop improvement strategies
Answer: C

NEW QUESTION: 2
You have to decide which bucket logic to apply to the ATP buckets for the product availability check.
Which system settings for the bucket logic are possible?
Note: There are 2 correct answers to this question.
A. Opportunistic logic
B. Optimistic logic
C. Precautious logic
D. Progressive logic
E. Totally conservative logic
Answer: D,E

NEW QUESTION: 3
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Domäne enthält einen Server mit dem Namen Server1, auf dem Windows Server 2016 ausgeführt wird.
Sie haben eine Organisationseinheit mit dem Namen Administration, die das Computerkonto von Server1 enthält.
Sie importieren das Active Directory-Modul zu Server1.
Sie erstellen ein Gruppenrichtlinienobjekt mit dem Namen GPO1. Sie verknüpfen GPO1 mit der Organisationseinheit Administration.
Sie müssen jedes Mal ein Ereignis protokollieren, wenn ein Active Directory-Cmdlet von Server1 erfolgreich ausgeführt wurde.
Was tun?
A. Konfigurieren Sie unter Administrative Vorlagen in GPO1 eine Windows PowerShell-Richtlinie.
B. Konfigurieren Sie in der erweiterten Überwachungsrichtlinie in GPO1 die Überwachung für Verzeichnisdienständerungen.
C. Aus der erweiterten Überwachungsrichtlinie in GPO1. Konfigurieren Sie die Überwachung für andere Berechtigungsverwendungsereignisse.
D. Führen Sie den Befehl Add-NetEventProvider -Name "Microsoft-Active-Directory" -MatchAnyKeyword PowerShell aus.
Answer: A
Explanation:
Erläuterung
Am folgenden Speicherort für Gruppenrichtlinienobjekte können Sie die Einstellung "Modulprotokollierung aktivieren" aktivieren, um jedes Mal ein Ereignis aufzuzeichnen, wenn PowerShell ein Cmdlet eines bestimmten PowerShell-Moduls ausführt, z. B. "ActiveDirectory".
"Computerkonfiguration \\ Administrative Vorlagen \\ Windows-Komponenten \\ Windows PowerShell"

NEW QUESTION: 4
You are evaluating a Python NumPy array that contains six data points defined as follows:
data = [10, 20, 30, 40, 50, 60]
You must generate the following output by using the k-fold algorithm implantation in the Python Scikit-learn machine learning library:
train: [10 40 50 60], test: [20 30]
train: [20 30 40 60], test: [10 50]
train: [10 20 30 50], test: [40 60]
You need to implement a cross-validation to generate the output.
How should you complete the code segment? To answer, select the appropriate code segment in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: k-fold
Box 2: 3
K-Folds cross-validator provides train/test indices to split data in train/test sets. Split dataset into k consecutive folds (without shuffling by default).
The parameter n_splits ( int, default=3) is the number of folds. Must be at least 2.
Box 3: data
Example: Example:
>>>
>>> from sklearn.model_selection import KFold
>>> X = np.array([[1, 2], [3, 4], [1, 2], [3, 4]])
>>> y = np.array([1, 2, 3, 4])
>>> kf = KFold(n_splits=2)
>>> kf.get_n_splits(X)
2
>>> print(kf)
KFold(n_splits=2, random_state=None, shuffle=False)
>>> for train_index, test_index in kf.split(X):
... print("TRAIN:", train_index, "TEST:", test_index)
... X_train, X_test = X[train_index], X[test_index]
... y_train, y_test = y[train_index], y[test_index]
TRAIN: [2 3] TEST: [0 1]
TRAIN: [0 1] TEST: [2 3]
References:
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html