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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. The domain contains a server named Server1 that runs Windows Server 2012 R2.
On a server named Server2, you perform a Server Core Installation of Windows Server 2012 R2. You join Server2 to the contoso.com domain.
You need to ensure that you can manage Server2 by using the Computer Management console on Server1.
What should you do on Server2?
A. Run sconfig.exe and configure remote management.
B. Install Remote Server Administration Tools (RSAT).
C. Install Windows Management Framework.
D. Run sconfig.exe and configure Remote Server Administration Tools (RSAT).
Answer: A
Explanation:
Explanation
In Windows Server 2012 R2, you can use the Server Configuration tool (Sconfig.cmd) to configure and manage several common aspects of Server Core installations. You must be a member of the Administrators group to use the tool. Sconfig.cmd is available in the Minimal Server Interface and in Server with a GUI mode.
References:
http://technet.microsoft.com/en-us/library/jj647766.aspx
Training Guide: Installing and Configuring Windows Server 2012 R2, Chapter 2: Deploying servers, p. 80

NEW QUESTION: 2
Which of the following are conclusions that could be drawn from the shape of the statistical distribution of
losses that a bank might incur over a future time period?
I. In most years a bank would look more profitable than it will be on average.
II. Most of the time a sufficiently well capitalized bank will appear over-capitalized.
III. Bad years do not come along very often, but when they do they lead to enormous losses.
A. I, III
B. II, III
C. I, II
D. I, II, III
Answer: D

NEW QUESTION: 3
行数をrow_countという名前のメトリックとして記録する必要があります。このメトリックは、実験の実行が完了した後、Runオブジェクトのget_metricsメソッドを使用して返すことができます。どのコードを使用する必要がありますか？
A. run.log_table('row_count', rows)
B. run.tag('row_count', rows)
C. run.upload_file('row_count', './data.csv')
D. run.log('row_count', rows)
E. run.log_row('row_count', rows)
Answer: D
Explanation:
Log a numerical or string value to the run with the given name using log(name, value, description=''). 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)
Incorrect Answers:
E: Using log_row(name, description=None, **kwargs) creates a metric with multiple columns as described in kwargs. Each named parameter generates a column with the value specified. log_row can be called once to log an arbitrary tuple, or multiple times in a loop to generate a complete table.
Example: run.log_row("Y over X", x=1, y=0.4)
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run