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NEW QUESTION: 1
DRAG DROP You configure a SharePoint Server 2010 Service Pack 1 (SP1) farm. You create a.wsp file named SharePointProject2.wsp on the server in the following directory: C:\install. You need to deploy the .wsp file to the farm. From the SharePoint Server 2010 Service Pack 1 (SP1) Management Shell, which cmdlets should you run? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)

Answer:
Explanation:

Explanation:

http://technet.microsoft.com/en-us/library/ee906539.aspx New-SPSiteSubscriptionFeaturePack Creates a new SharePoint Feature set that can be used to limit the features available to a site subscription. Install-SPSolution Deploys an installed SharePoint solution in the farm. Install-SPUserSolution Activates a sandboxed solution in a site collection. Add-SPSolution Uploads a SharePoint solution package to the farm. Add-SPUserSolution Uploads a new sandboxed solution to the solution gallery.

NEW QUESTION: 2
Jennifer wants to form a corporation that will develop software. As she studies the pros and cons of a corporation entity, she learns that there are four distinct characteristics of a corporation. Which of the following is NOT a characteristic of a corporation?
A. There is not a central management structure.
B. Ownership of the corporation can be transferred by selling stock.
C. Liability is limited to the assets of the corporation.
D. Life of the corporation can extend beyond the life of the founder.
Answer: A
Explanation:
Explanation/Reference:
Answer option C is correct.
A corporation does have a central management structure called the board of directors for the company.
The board of directors establishes the mission, vision, and management direction for the structure.
Answer option A is incorrect. Liability is limited to the assets of the company, not its owners.
Answer option B is incorrect. Corporations can continue to exist beyond the life of its founder.
Answer option D is incorrect. Stock and shares of the company technically transfer ownership of the company to other people. These shareholders can sell and trade the stock if they'd like.
Reference: Professional in Human Resources Certification Study Guide, Sybex, ISBN: 978-0-470-43096-5.
Chapter Four: Workforce Planning and Employment. Official PHR and SPHR Certification Guide, HR Certification Institute, ISBN: 978-1-586-44149-4, Section III, The US Body of Knowledge.
Chapter: Workforce Planning and Employment
Objective: Global Considerations

NEW QUESTION: 3
あなたは会社のAzure管理者です。同社は、Platform as a Service（PaaS）のみを使用しています。
マイクロソフトが管理する必要があるソリューションコンポーネントとITスタッフが管理する必要があるソリューションコンポーネントを識別する必要があります。
各管理所有者をそのコンポーネントに一致させます。答えるには、責任者を左側の列から右側のコンポーネントにドラッグします。各当事者は、1回、複数回使用される場合もあれば、まったく使用されない場合もあります。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
References:
https://www.itprotoday.com/industry-perspectives/choosing-cloud-model-saas-versus-paas

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:

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