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NEW QUESTION: 1
You create a multi-class image classification deep learning model that uses the PyTorch deep learning framework.
You must configure Azure Machine Learning Hyperdrive to optimize the hyperparameters for the classification model.
You need to define a primary metric to determine the hyperparameter values that result in the model with the best accuracy score.
Which three actions must you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to loss.
B. Add code to the bird_classifier_train.py script to calculate the validation loss of the model and log it as a float value with the key loss.
C. Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to maximize.
D. Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to minimize.
E. Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to accuracy.
F. Add code to the bird_classifier_train.py script to calculate the validation accuracy of the model and log it as a float value with the key accuracy.
Answer: C,E,F
Explanation:
AD:
primary_metric_name="accuracy",
primary_metric_goal=PrimaryMetricGoal.MAXIMIZE
Optimize the runs to maximize "accuracy". Make sure to log this value in your training script.
Note:
primary_metric_name: The name of the primary metric to optimize. The name of the primary metric needs to exactly match the name of the metric logged by the training script.
primary_metric_goal: It can be either PrimaryMetricGoal.MAXIMIZE or PrimaryMetricGoal.MINIMIZE and determines whether the primary metric will be maximized or minimized when evaluating the runs.
F: The training script calculates the val_accuracy and logs it as "accuracy", which is used as the primary metric.

NEW QUESTION: 2
An administrator is attempting to migrate a large Hadoop virtual machine using vMotion.
The administrator notices a delay when the machine is quiesced. The Hadoop virtual machine is processing many transactions a second to an in-memory database.
Which two actions would help reduce the amount of time needed to perform a vMotion on this virtual machine? (Choose two.)
A. Use multiple NICs for the vMotion vmkernel port.
B. Use a 10Gbps Network card for the vMotion vmkernel port.
C. Add an additional management network to help transmit the data quicker.
D. Disable Fault Tolerance before performing the vMotion.
Answer: A,B

NEW QUESTION: 3
Another administrator reports that she is unable to configure a web app named corplod7509086n3 to prevent all connections from an IP address of 11.0.0.11.
You need to modify corplod7509086n3 to successfully prevent the connections from the IP address. The solution must minimize Azure-related costs.
What should you do from the Azure portal?
Answer:
Explanation:
See explanation below.
Explanation
Step 1:
Find and select application corplod7509086n3:
1. In the Azure portal, on the left navigation panel, click Azure Active Directory.
2. In the Azure Active Directory blade, click Enterprise applications.
Step 2:
To add an IP restriction rule to your app, use the menu to open Network>IP Restrictions and click on Configure IP Restrictions

Step 3:
Click Add rule
You can click on [+] Add to add a new IP restriction rule. Once you add a rule, it will become effective immediately.

Step 4:
Add name, IP address of 11.0.0.11, select Deny, and click Add Rule

References:
https://docs.microsoft.com/en-us/azure/app-service/app-service-ip-restrictions