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NEW QUESTION: 1
Which statement describes the supported integration method when Cisco Unity Connection and Cisco Unified Communications Manager are installed on the same server as Cisco Unified Communications Manager Business Edition?
A. Q-Sig integration is supported through a voice-enabled Cisco ISR router.
B. Circuit-switched integration is supported through PIMG.
C. Only SCCP integration is supported.
D. Only SIP integration is supported.
E. Both SCCP or SIP integration are supported, but you must choose one or the other.
Answer: C

NEW QUESTION: 2
App1という名前のAzure App ServiceをホストするASP1という名前のBasic App Serviceプランがあります。
カスタムドメインを構成し、App1のバックアップを有効にする必要があります。
最初に何をすべきですか？
A. ASP1をスケールアップします。
B. ASP1をスケールアウトします。
C. App1のアプリケーション設定を構成します。
D. App1のWebJobを構成します。
Answer: A
Explanation:
Explanation
Scale up ASP1 : Correct
Basic App service plan does not support backup/restore.

The Backup and Restore feature requires the App Service plan to be in the Standard, Premium or Isolated tier.
Since in question it is mentioned as a Basic service plan app so at first you need to do it to Scale up the service plan so that backup can be enabled on App1.
Scale up: Get more CPU, memory, disk space, and extra features like dedicated virtual machines (VMs), custom domains and certificates, staging slots, autoscaling, and more. You scale up by changing the pricing tier of the App Service plan that your app belongs to.
Configure a WebJob for App1 : Incorrect
WebJobs is a feature of Azure App Service that enables you to run a program or script in the same instance as a web app, API app, or mobile app. There is no additional cost to use WebJobs

Scale out ASP1 : Incorrect
Scale out: Increase the number of VM instances that run your app. You can scale out to as many as 30 instances, depending on your pricing tier.
Configure the application settings for App1 : Incorrect
This is the 2nd step you need to perform once azure service plan upgraded to standard.
Most folks don't realize how easy it is to configure a backup copy of your Azure App Service to ensure you have restorable archive copies of your app and database. In order to take advantage of this, you'll need to log into your Azure account and go to your App Service that you created and look under Settings then you will see Backup

Reference:
https://azure.microsoft.com/en-in/pricing/details/app-service/windows/
https://docs.microsoft.com/en-us/azure/app-service/manage-scale-up
https://docs.microsoft.com/en-us/azure/app-service/webjobs-create
https://microsoft.github.io/AzureTipsAndTricks/blog/tip28.html

NEW QUESTION: 3
展示を参照してください。

default-information originコマンドは、R1 OSPF構成で構成されます。サイトBのVLAN 20でワークステーションをテストした後、インターネット上のDNSサーバーに到達できない場合どの構成で問題が修正されますか？
A. R2でip route 0.0.0.0 0.0.0.0 10.10.10.2コマンドを設定します
B. default-information originateコマンドをR2に追加します
C. alwaysキーワードをR1のdefault-information originateコマンドに追加します
D. R1でip route 0.0.0.0 0.0.0.0 10.10.10.18コマンドを設定します
Answer: D

NEW QUESTION: 4
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

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