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NEW QUESTION: 1
Which backup-archive client host operating system requires the use of a dsm.sys file?
A. any server in a Microsoft Windows cluster
B. Microsoft Windows workstation system
C. Microsoft Windows server 2008
D. UNIX/Linux
Answer: D
Explanation:
Explanation/Reference:
Configure the IBM Spectrum Protect client
After installing the backup-archive client, you must configure it before performing any operations.
The following applies to AIX, Linux, Solaris, and Mac OS X.
If you are upgrading the backup-archive client, it is unnecessary to reconfigure the scheduler, web client, or other configuration settings. If the dsm.opt and dsm.sys files used by the previous client installation are available in the default installation directory or the directory or file pointed to by the DSM_CONFIG and DSM_DIR environment variables, the client accesses these files for configuration information.
References: https://www.ibm.com/support/knowledgecenter/en/SSEQVQ_8.1.0/client/c_cfg.html

NEW QUESTION: 2
Which of the following is the BEST way to manage stakeholder expectations?
A. Obtain stakeholder buy-in.
B. Provide the stakeholder with a copy of the project charter.
C. Approve stakeholder requests.
D. Have the stakeholders complete a change request form.
Answer: A

NEW QUESTION: 3
Your data center contains 10 Hyper-V hosts that host 100 virtual machines.
You plan to secure access to the virtual machines by using the Datacenter Firewall service.
You have four servers available for the Datacenter Firewall service. The servers are configured as shown in the following table.

You need to install the required server roles for the planned deployment.
Which server role should you deploy? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/windows-server/networking/sdn/plan/installation-and-preparation-requirements
https://docs.microsoft.com/en-us/windows-server/networking/sdn/technologies/network-controller/install-the-net

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