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NEW QUESTION: 1
会社には、Microsoft 365サブスクリプションとMicrosoft Azureサポートプランがあります。
マイクロソフトがテクニカルサポートを提供するAzureサービスのみを実装する必要があります。
どの2種類のサービスと機能を実装できますか？ それぞれの正解はソリューションの一部を示しています。
注：それぞれの正しい選択には1ポイントの価値があります。
A. パブリックプレビュー
B. 一般提供
C. プライベートプレビュー
D. ターゲットリリース
Answer: A,B
NEW QUESTION: 2
Refer to the exhibit.
The Python script is supposed to make an API call to Cisco DNA Center querying a wireless profile for the
"ChicagoCampus" and then parsing out its enable FlexConnect value. Drag and drop the parts of the Python code from the left onto the item numbers on the right that match the missing sections in the exhibit.
Answer:
Explanation:
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. Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to 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 maximize.
D. Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to minimize.
E. 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.
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: B,C,F
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.