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NEW QUESTION: 1
Which two options describe how Taboo contracts differ from regular contracts in Cisco ACI? (Choose two.)
A. They are not associated with EPGs.
B. They are associated with one EPG.
C. Taboo contract entries are looked up with lower priority than entries in regular contracts.
D. They are associated with pair on EPGs.
E. Taboo contract entries are looked up based on administrator configured priority.
F. Taboo contract entries are looked up with higher priority than entries in regular contracts.
Answer: E,F

NEW QUESTION: 2
When you are using Oracle Compute Service Console and reviewing the network configuration of your database instance, what do the arrows that are shown within the Access Rules define?
A. They define the availability of network access to the database instance.
B. They define the direction of network access to the database instance.
C. They are used to show if the connection was completely secured.
D. They show the status of the database instance.
Answer: A
Explanation:
Explanation/Reference:
The arrows indicate if the access rule is enabled or not.
Example:

References: https://docs.oracle.com/en/cloud/paas/database-dbaas-cloud/csdbi/service-console-access- rules-page.html

NEW QUESTION: 3
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るrow_countという名前のメトリックとして行数を記録する必要があります。どのコードを使用する必要がありますか？
A. run.log_row('row_count', rows)
B. run.log('row_count', rows)
C. run.log_table('row_count', rows)
D. run.upload_file('row_count', './data.csv')
E. run.tag('row_count', rows)
Answer: B
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