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NEW QUESTION: 1
In a WAAS Application Traffic Policy, what are three valid match conditions for traffic classifiers? (Choose three.)
A. TCP Port
B. Subnet
C. IP Address
D. Routing
Answer: A,B,C

NEW QUESTION: 2
To undelete a file in the FAT file system, EnCase obtains the starting extent from the
A. Directory entry
B. File header
C. Operating system
D. FAT
Answer: A

NEW QUESTION: 3
Mobile workers and teleworkers do not have direct access to coworkers, but they must engage with them regularly. Which three collaboration tools benefit these workers? (Choose three.)
A. Cisco Unified Communications
B. Cisco Video Conferencing
C. Cisco Unified Contact Center Express
D. Cisco Emergency Responder
E. Cisco Jabber
Answer: A,B,E

NEW QUESTION: 4
PyTorch深層学習フレームワークを使用するマルチクラス画像分類深層学習モデルを作成します。
分類モデルのハイパーパラメーターを最適化するには、Azure Machine Learningハイパードライブを構成する必要があります。
精度が最も高いモデルとなるハイパーパラメーター値を決定するには、プライマリメトリックを定義する必要があります。
どの3つのアクションを実行する必要がありますか？それぞれの正解が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は1ポイントの価値があります。
A. bird_classifier_train.pyスクリプトにコードを追加して、モデルの検証精度を計算し、それをキー精度の浮動小数点値として記録します。
B. bird_classifier_train.pyスクリプトにコードを追加して、モデルの検証損失を計算し、キー損失のある浮動小数点値としてログに記録します。
C. bird_classifier_train.pyスクリプトを実行して最大化するために使用される推定器のprimary_metric_goalを設定します。
D. bird_classifier_train.pyスクリプトの実行に使用される推定器のprimary_metric_nameをlossに設定します。
E. bird_classifier_train.pyスクリプトを実行するために使用される推定器のprimary_metric_nameを正確に設定します。
F. 最小化するためにbird_classifier_train.pyスクリプトを実行するために使用される推定器のprimary_metric_goalを設定します。
Answer: A,C,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.