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NEW QUESTION: 1
Siehe Ausstellung.

Ziehen Sie die Netzwerkparameter von links auf die richtigen Werte rechts.

Answer:
Explanation:

Explanation

NIC vendor OUI -> 00:0C:22NIC MAC address -> 00:0C:22:83:79:A3default gateway ->
192.168.1.193host IP address -> 192.168.1.200subnet mask -> 255.255.255.192 The "ip route" and "ip addr show eth1" are Linux commands.+ "ip route": display the routing table+ "ip addr show eth1": get depth information (only on eth1 interface) about your network interfaces like IP Address, MAC Address information

NEW QUESTION: 2

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

NEW QUESTION: 3
You are analyzing a dataset by using Azure Machine Learning Studio.
YOU need to generate a statistical summary that contains the p value and the unique value count for each feature column.
Which two modules can you users? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Execute Python Script
B. Summarize Data
C. Export Count Table
D. Compute linear Correlation
E. Convert to Indicator Values
Answer: C,D
Explanation:
Explanation
The Export Count Table module is provided for backward compatibility with experiments that use the Build Count Table (deprecated) and Count Featurizer (deprecated) modules.
E: Summarize Data statistics are useful when you want to understand the characteristics of the complete dataset. For example, you might need to know:
How many missing values are there in each column?
How many unique values are there in a feature column?
What is the mean and standard deviation for each column?
The module calculates the important scores for each column, and returns a row of summary statistics for each variable (data column) provided as input.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-count-table
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/summarize-data