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NEW QUESTION: 1
You are running a training experiment on remote compute in Azure Machine Learning.
The experiment is configured to use a conda environment that includes the mlflow and azureml-contrib-run packages.
You must use MLflow as the logging package for tracking metrics generated in the experiment.
You need to complete the script for the experiment.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: import mlflow
Import the mlflow and Workspace classes to access MLflow's tracking URI and configure your workspace.
Box 2: mlflow.start_run()
Set the MLflow experiment name with set_experiment() and start your training run with start_run().
Box 3: mlflow.log_metric(' ..')
Use log_metric() to activate the MLflow logging API and begin logging your training run metrics.
Box 4: mlflow.end_run()
Close the run:
run.endRun()
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-mlflow
NEW QUESTION: 2
One new regarding 802.1X. (Choose three)
A. Industry standard
B. Cisco proprietary
C. If the device does not support, allow the access automatically
D. Authenticates the user itself
E. Authenticates the device itself
Answer: A,D,E
NEW QUESTION: 3
For refinancing home and mortgage loans for example, the underwriter may request additional documentation such as:
A. Only A&B
B. Savings/source of money for down payment
C. Appraisal
D. Credit History
Answer: A
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