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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. The domain contains a domain-based Distributed File System (DFS) namespace named Namespace1.
You need to view the shares to which users will be redirected when the users attempt to connect to a folder named Folder1 in the DFS namespace.
What cmdlet should you run? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
NEW QUESTION: 2
Which two statements about northbound and southbound APIs are true? (Choose two.)
A. Both northbound and southbound APIs allow program control of the network.
B. Only southbound APIs allow program control of the network.
C. Only southbound API interfaces use a Service Abstraction Layer.
D. Only northbound API interfaces use a Service Abstraction Layer.
E. Both northbound and southbound API interfaces use a Service Abstraction Layer.
F. Only northbound APIs allow program control of the network.
Answer: C,F
NEW QUESTION: 3
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. 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.
B. Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to accuracy.
C. Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to minimize.
D. 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.
E. Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to maximize.
F. Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to loss.
Answer: B,D,E
Explanation:
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.
