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It doesn’t matter.

NEW QUESTION: 1

A. Option F
B. Option C
C. Option D
D. Option B
E. Option E
F. Option A
Answer: A,B,F
Explanation:
AC (not E):
The md_restore command allows you to restore a disk group from the metadata created by the
md_backup command.
md_restore can't restore data, only metadata.

NEW QUESTION: 2
モデルトレーニング要件に適した早期停止基準を実装する必要があります。
ソリューションの開発に使用する必要がある3つのコードセグメントはどれですか?回答するには、適切なコードセグメントをコードセグメントのリストから回答領域に移動し、正しい順序で並べます。
注:回答の選択肢の複数の順序が正しいです。選択した正しい注文のいずれかのクレジットを受け取ります。

Answer:
Explanation:

Explanation:
You need to implement an early stopping criterion on models that provides savings without terminating promising jobs.
Truncation selection cancels a given percentage of lowest performing runs at each evaluation interval. Runs are compared based on their performance on the primary metric and the lowest X% are terminated.
Example:
from azureml.train.hyperdrive import TruncationSelectionPolicy
early_termination_policy = TruncationSelectionPolicy(evaluation_interval=1, truncation_percentage=20, delay_evaluation=5) Incorrect Answers:
Bandit is a termination policy based on slack factor/slack amount and evaluation interval. The policy early terminates any runs where the primary metric is not within the specified slack factor / slack amount with respect to the best performing training run.
Example:
from azureml.train.hyperdrive import BanditPolicy
early_termination_policy = BanditPolicy(slack_factor = 0.1, evaluation_interval=1, delay_evaluation=5 References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-tune-hyperparameters

NEW QUESTION: 3
次のサービスのうち、必要に応じてストレージを自動的に拡張するMySQL互換データベースはどれですか。
A. Amazon Lightsail
B. Amazon Elastic Compute Cloud(Amazon EC2)
C. アマゾンオーロラ
D. MySQL用のAmazon Relational Database Service(Amazon RDS)
Answer: C
Explanation:
Amazon Aurora is a relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The MySQL-compatible edition of Aurora delivers up to 5X the throughput of standard MySQL running on the same hardware, and enables existing MySQL applications and tools to run without requiring modification.
Amazon Aurora will automatically grow the size of your database volume as your database storage needs grow. Your volume will grow in increments of 10 GB up to a maximum of 64 TB. You don't need to provision excess storage for your database to handle future growth.