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NEW QUESTION: 1
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application due to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS CloudFormation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 due to the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, while memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?
A. Signin to the AWS Management Console, copy the old launch configuration, and createa new launch configuration that specifies the C3 instances. Update the AutoScaling group with the new launch configuration. Auto Scaling will then updatethe instance type of all running instances
B. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies an AutoScalingRollingUpdate. Run a stack update with thenew template
C. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3 instance type. Run a stack update with the new template. Auto Scalingwill then update the instances with the new instance type.
D. Signinto the AWS Management Console and update the existing launch configurationwith the new C3 instance type. Add an UpdatePolicy attribute to your AutoScaling group that specifies an AutoScaling RollingUpdate.
Answer: B
Explanation:
Explanation
The AWS Documentation mentions the below
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePolicy attribute. This is used to define how an Auto Scaling group resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified.
For more information on Rolling Updates for Autoscaling please see the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION: 2
You need to collect application metrics, streaming query events, and application log messages for an Azure Databrick cluster.
Which type of library and workspace should you implement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

You can send application logs and metrics from Azure Databricks to a Log Analytics workspace. It uses the Azure Databricks Monitoring Library, which is available on GitHub.
References:
https://docs.microsoft.com/en-us/azure/architecture/databricks-monitoring/application-logs

NEW QUESTION: 3
침입 탐지 시스템 / 침입 방지 시스템 (IDS / IPS) 경고에 대한 초기 대응은 무엇이 되어야 합니까?
A. 위협을 확인하고 공격 범위를 결정합니다.
B. 의심되는 대상 및 소스 시스템을 비활성화 하거나 연결을 끊습니다.
C. 트래픽의 초기 소스를 확인하고 해당 포트를 차단하십시오.
D. 사고 대응 계획이 현재 사용되고 있는지 확인하십시오.
Answer: A