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NEW QUESTION: 1
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

NEW QUESTION: 2
You need to compact an Active Directory database on a domain controller that runs Windows Server 2008 R2.
What should you do?
A. Run defrag.exe /a /c.
B. From Ntdsutil, use the Metadata cleanup option.
C. From Ntdsutil, use the Files option.
D. Run defrag.exe /c /u.
Answer: C
Explanation:
Reference 1: http://technet.microsoft.com/en-us/library/cc794920.aspx
Compact the Directory Database File (Offline Defragmentation)
You can use this procedure to compact the Active Directory database offline. Offline defragmentation
returns free disk space in the Active Directory database to the file system. As part of the offline
defragmentation procedure, check directory database integrity.
Performing offline defragmentation creates a new, compacted version of the database file in a different
location.
Reference 2:
Mastering Windows Server 2008 R2 (Sybex, 2010)
page 805
Performing Offline Defragmentation of Ntds.dit
These steps assume that you will be compacting the Ntds.dit file to a local folder. If you plan to defragment and compact the database to a remote shared folder, map a drive letter to that shared folder before you begin these steps, and use that drive letter in the path where appropriate.
1.Open an elevated command prompt. Click Start, and then right-click Command Prompt. Click Run as Administrator.
2.Type ntdsutil, and then press Enter.
3.Type Activate instance NTDS, and press Enter.
4.At the resulting ntdsutil prompt, type Files (case sensitive) and then press Enter.
5.At the file maintenance prompt, type compact to followed by the path to the destination folder for the defragmentation, and then press Enter.

NEW QUESTION: 3
Amazon EC2のc4.8xlargeインスタンスによって提供されるネットワークパフォーマンスはどのくらいですか？
A. 5ギガビット
B. 非常に高いが変数
C. 20ギガビット
D. 10ギガビット
Answer: D
Explanation:
Explanation
Networking performance offered by the c4.8xlarge instance is 10 Gigabit.
http://aws.amazon.com/ec2/instance-types/