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NEW QUESTION: 1
You have a computer that runs Windows 7.
Your network contains a VPN server that runs Windows Server 2008.
You need to authenticate to the VPN server by using a smart card.
Which authentication setting should you choose?
A. PAP
B. EAP
C. CHAP
D. MS-CHAP v2
Answer: B
Explanation:
VPN Server Software Requirements VPN server software requirements for smart card access are relatively straightforward. The remote access servers must run Windows 2000 Server or later, have Routing and Remote Access enabled, and must support Extensible Authentication Protocol-Transport Layer Security (EAPTLS). EAP-TLS is a mutual authentication mechanism developed for use in conjunction with security devices, such as smart cards and hardware tokens. EAP-TLS supports Point-to-Point Protocol (PPP) and VPN connections, and enables exchange of shared secret keys for MPPE, in addition to Ipsec. The main benefits of EAP-TLS are its resistance to brute-force attacks and its support for mutual authentication. With mutual authentication, both client and server must prove their identities to each other. If either client or server does not send a certificate to validate its identity, the connection terminates.Microsoft Windows Server 2003 supports EAP-TLS for dialup and VPN connections, which enables the use of smart cards for remote users. For more information about EAP-TLS, see the Extensible Authentication Protocol (EAP) topic at www.microsoft.com/resources/documentation/windows/xp/all/proddocs/en-us/auth_eap. mspx. For more information about EAP certificate requirements, see the Microsoft Knowledge Base article "Certificate Requirements when you use EAP-TLS or PEAP with EAP-TLS" at http://support.microsoft.com/default.aspx? scid=814394.

NEW QUESTION: 2
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:

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: 3
What is true about custom redirects? [Choose two answers]
A. When a visitor converts to a prospect completion actions on a custom redirect will trigger
B. When a visitor clicks a custom redirect any completion actions associated with the custom redirect will trigger.
C. Custom redirects will continue to work if they are deleted in Pardot.
D. Custom redirects are great for linking to files or pages you do not host.
Answer: C,D