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NEW QUESTION: 1
You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:
age,city,income,home_owner
21,Chicago,50000,0
35,Seattle,120000,1
23,Seattle,65000,0
45,Seattle,130000,1
18,Chicago,48000,0
You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:
the number of observations in the dataset
a box plot of income by home_owner
a dictionary containing the city names and the average income for each city You need to use the appropriate logging methods of the experiment's run object to log the required information.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: log
The number of observations in the dataset.
run.log(name, value, description='')
Scalar values: Log a numerical or string value to the run with the given name. Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.
Example: run.log("accuracy", 0.95)
Box 2: log_image
A box plot of income by home_owner.
log_image Log an image to the run record. Use log_image to log a .PNG image file or a matplotlib plot to the run. These images will be visible and comparable in the run record.
Example: run.log_image("ROC", plot=plt)
Box 3: log_table
A dictionary containing the city names and the average income for each city.
log_table: Log a dictionary object to the run with the given name.

NEW QUESTION: 2

A. Option B
B. Option C
C. Option A
D. Option D
Answer: C
Explanation:
Ref: http://www.networkworld.com/community/blog/whats-new-operations-managersystem-center-2012-r2
Fabric Monitoring A close integration between System Center 2012 R2 Virtual Machine Manager and System Center 2012 R2 Operations Manager introduces System Center cloud monitoring of virtual layers for private cloud environments. To get this new functionality, use the System Center 2012 Management Pack for System Center 2012 R2 Virtual Machine Manager Dashboard, which is imported automatically when you integrate Operations Manager and Virtual Machine Manager. For information about how to integrate Operations Manager and Virtual Machine Manager, see Configuring Operations Manager Integration with VMM.

NEW QUESTION: 3
HOTSPOT
You have a server named Server1. Server1 runs Windows Server 2012. A user named Admin1 is a member of the local Administrators group.
You need to ensure that Admin1 receives a User Account Control (UAC) prompt when attempting to open Windows PowerShell as an administrator.
Which setting should you modify from the Local Group Policy Editor? To answer, select the appropriate setting in the answer area.

Answer:
Explanation:

NEW QUESTION: 4
DRAG DROP
Match the IPv4 address type to the corresponding definition.
To answer, drag the appropriate definition from the column on the left to the address type on the right. Each definition may be used once, more than once, or not at all. Each correct match is worth one point.

Answer:
Explanation: