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While the demo questions of the test engine is the screenshots.

NEW QUESTION: 1
You are creating a console application named App1. App1 will validate user input for order entries.
You are developing the following code segment (line numbers are included for reference only):

You need to complete the code segment.
The solution must ensure that prices are positive and have two decimal places.
Which code should you insert at line 03?

A. Option C
B. Option B
C. Option D
D. Option A
Answer: B
Explanation:
* Regex.IsMatch Method (String, String)
Indicates whether the specified regular expression finds a match in the specified input
string.
Syntax:
public static bool IsMatch(
string input,
string pattern
)

NEW QUESTION: 2
When the ProxySG processes a client request to a server that requires a client certificate, how does the ProxySG determine which certificate to present to the server?
A. The administrator configures this in policy.
B. The ProxySG negotiates with the client.
C. The client sends its certificate to the ProxySG.
D. The administrator configures this in the Management Console at Configuration > SSL.
E. The ProxySG negotiates with the server.
Answer: D

NEW QUESTION: 3

A. Option A
B. Option B
C. Option C
D. Option D
Answer: A,C

NEW QUESTION: 4
You are creating an experiment by using Azure Machine Learning Studio.
You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data. You must prepare the data for analysis.
You need to select appropriate methods for producing the experiment.
Which three modules should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation:
The Clean Missing Data module in Azure Machine Learning Studio, to remove, replace, or infer missing values.
Incorrect Answers:
Latent Direchlet Transformation: Latent Dirichlet Allocation module in Azure Machine Learning Studio, to group otherwise unclassified text into a number of categories. Latent Dirichlet Allocation (LDA) is often used in natural language processing (NLP) to find texts that are similar. Another common term is topic modeling.
Build Counting Transform: Build Counting Transform module in Azure Machine Learning Studio, to analyze training data. From this data, the module builds a count table as well as a set of count-based features that can be used in a predictive model.
Missing Value Scrubber: The Missing Values Scrubber module is deprecated.
Feature hashing: Feature hashing is used for linguistics, and works by converting unique tokens into integers.
Replace discrete values: the Replace Discrete Values module in Azure Machine Learning Studio is used to generate a probability score that can be used to represent a discrete value. This score can be useful for understanding the information value of the discrete values.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data