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NEW QUESTION: 1
ハイパードライブを使用して、モデルのトレーニング時に選択されたハイパーパラメーターを最適化する予定です。次のコードを作成して、ハイパーパラメータ実験のオプションを定義します


次の各ステートメントについて、ステートメントがtrueの場合は[はい]を選択します。それ以外の場合は、[いいえ]を選択します。注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: No
max_total_runs (50 here)
The maximum total number of runs to create. This is the upper bound; there may be fewer runs when the sample space is smaller than this value.
Box 2: Yes
Policy EarlyTerminationPolicy
The early termination policy to use. If None - the default, no early termination policy will be used.
Box 3: No
Discrete hyperparameters are specified as a choice among discrete values. choice can be:
one or more comma-separated values
* a range object
* any arbitrary list object
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.hyperdrive.hyperdriveconfig
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters

NEW QUESTION: 2
Depending on the complexity of an organization's business continuity plan (BCP), the plan may be developed as a set of more than one plan to address various aspects of business continuity and disaster recovery, in such an environment, it is essential that:
A. all plans are integrated into a single plan.
B. each plan is dependent on one another.
C. each plan is consistent with one another.
D. the sequence for implementation of all plans is defined.
Answer: C
Explanation:
Depending on the complexity of an organization, there could be more than one plan to address various aspects of business continuity and disaster recovery. These do not necessarily have to be integrated into one single plan. However, each plan has tobe consistent with other plans to have a viable business continuity planning strategy. It may not be possible to define a sequence in which plans have to be implemented, as it may be dependent on the nature of disaster, criticality, recovery time, etc.

NEW QUESTION: 3
次の自動スケール条件を含むApp1という名前のAzure Webアプリがあります。自動作成されたデフォルトのスケール条件には、特定のインスタンスカウントへのスケールが2に設定されたスケールモードがあります。
スケール条件1の構成は次のとおりです。
*スケールモード：特定のインスタンスカウントにスケーリング
*インスタンス数3
*スケジュール：開始日/終了日を指定します
*開始日：2019年8月1日
*終了日：2019年9月1日、18：00
スケール条件2の構成は次のとおりです。
*スケールモード：特定のインスタンスカウントにスケーリング
*インスタンス数4
*スケジュール：特定の日を繰り返す
*繰り返し：月曜日
*開始時間：06:00
*終了時間：18:00
スケール条件3の構成は次のとおりです。

Answer:
Explanation:

Explanation:
Box 1: 5
Scale condition 1, Scale condition 2, and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
Box 2: 5
Scale condition 1 does not apply as its end date is exceeded.
Scale condition 2 and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
When you configure multiple policies and rules, they could conflict with each other. Autoscale uses the following conflict resolution rules to ensure that there is always a sufficient number of instances running:
* Scale-out operations always take precedence over scale-in operations.
* When scale-out operations conflict, the rule that initiates the largest increase in the number of instances takes precedence.
* When scale in operations conflict, the rule that initiates the smallest decrease in the number of instances takes precedence.
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/auto-scaling