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NEW QUESTION: 1
In a frame relay network, DLCI is only the identifier of a virtual circuit under an interface. It must be globally unique when planning and deploying.
A. Correct
B. Error
Answer: B

NEW QUESTION: 2
You need to deploy changes made to an Enterprise Portal Microsoft Dynamics AX 2012 object.
Which three tools can you use to deploy the changes? Each correct answer presents a complete solution.
A. Windows PowerShell
B. Microsoft Visual Studio 2013
C. Microsoft Dynamics AX 2012 Application Object Tree (AOT)
D. AxUpdatePortal utility
E. SharePoint Server
Answer: B,C,D
Explanation:
Explanation/Reference:
References:
https://technet.microsoft.com/en-gb/library/hh538462.aspx
https://msdn.microsoft.com/en-us/library/aa855178.aspx

NEW QUESTION: 3
HOTSPOT
You develop a webpage. You create the following HTML markup:

<!DOCTYPE html>
<html>
<head>
<style></style>
</head>
<body>
<div id"top">
The layout of the webpage must contain three rows. The first row spans the entire width of the page and is labeled #Top. The second row contains three columns. The first column is labeled #Left; the second column is labeled #Main; and the right column is labeled #Right. The #Left and #Right columns are a fixed width. The #Main column occupies the remaining available space. The third and final row spans the entire width of the page and is labeled #Bottom.
The layout of the webpage must resemble the following image:

You need to create the CSS styles to implement the layout.
How should you complete the relevant styles? (To answer, select the appropriate option from each drop-down list in the answer area.)


Answer:
Explanation:

* -ms-flexbox
To enable flexbox layout, you must first create a flexbox container. Do this by setting the display property of an element to either "-ms-flexbox" (for a block-level flexbox container) or "-ms-inline- flexbox" (for an inline flexbox container).
* -ms-flex-direction: row;
When creating a flexbox container, you can also set its orientation-that is, specify whether its children are displayed from right-to-left, left-to-right, top-to-bottom, or bottom-to-top.
* -ms-flex
Specifies whether the width or height of a child element is flexible based on the space available in the object. This value also indicates the proportion of space available that is allocated to the child element.
Reference: Flexible box ("Flexbox") layout in Internet Explorer 10

NEW QUESTION: 4
You create a binary classification model by using Azure Machine Learning Studio.
You must tune hyperparameters by performing a parameter sweep of the model. The parameter sweep must meet the following requirements:
* iterate all possible combinations of hyperparameters
* minimize computing resources required to perform the sweep
* You need to perform a parameter sweep of the model.
Which parameter sweep mode should you use?
A. Random grid
B. Entire grid
C. Random seed
D. Random sweep
E. Sweep clustering
Answer: A
Explanation:
Maximum number of runs on random grid: This option also controls the number of iterations over a random sampling of parameter values, but the values are not generated randomly from the specified range; instead, a matrix is created of all possible combinations of parameter values and a random sampling is taken over the matrix. This method is more efficient and less prone to regional oversampling or undersampling.
If you are training a model that supports an integrated parameter sweep, you can also set a range of seed values to use and iterate over the random seeds as well. This is optional, but can be useful for avoiding bias introduced by seed selection.
Incorrect Answers:
B: If you are building a clustering model, use Sweep Clustering to automatically determine the optimum number of clusters and other parameters.
C: Entire grid: When you select this option, the module loops over a grid predefined by the system, to try different combinations and identify the best learner. This option is useful for cases where you don't know what the best parameter settings might be and want to try all possible combination of values.
E: If you choose a random sweep, you can specify how many times the model should be trained, using a random combination of parameter values.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/tune-model-hyperparameters