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NEW QUESTION: 1
A company is adopting AWS CodeDeploy to automate its application deployments for a Java- Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?
A. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec yml file.
B. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings.
Reference this script as part of the Install lifecycle hook in the appspec yml file.
C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the Beforelnstall lifecycle hook in the appspec.yml file
D. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec yml file.
Answer: C

NEW QUESTION: 2
What is the first step in the reconciliation process? Choose the correct answer.
A. Communicate differences
B. Collect data from different companies
C. Present reconciled and non-reconciled data
Answer: C

NEW QUESTION: 3
Which option describes the objects to be configured to limit a user's access to selected accounts?
A. a Data Access Group, a Data Role, and a User Group
B. a Data Access Group and a Data Role
C. an Account Management Group and a User Group
D. an Account Management Group, a Data Access Group, a Data Role, and a User Group
E. an Account Management Group, a Data Access Group, a Data Role
Answer: B

NEW QUESTION: 4
企業は、製造機械を監視するためにIoTデバイスを購入します。同社はIoTアプライアンスを使用してIoTデバイスと通信します。
会社は、デバイスをリアルタイムで監視できる必要があります。
ソリューションを設計する必要があります。
何をお勧めしますか？
A. Microsoft Visual Studioを使用したAzure Analysis Services
B. Microsoft Visual Studioを使用したAzure Stream Analytics Edgeアプリケーション
C. Azure PowerShellを使用したAzure Analysis Services
D. Azure PowerShellを使用するAzure Data Factoryインスタンス
Answer: B
Explanation:
Azure Stream Analytics (ASA) on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge