Multiple Choice
During metric analysis, your team has determined that the company's website is experiencing response times during peak hours that are higher than anticipated. You currently rely on Auto Scaling to make sure that you are scaling your environment during peak windows. How can you improve your Auto Scaling policy to reduce this high response time? (Choose two.)
A) Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have better fine-grain insight.
B) Increase your Auto Scaling group's number of max servers.
C) Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.
D) Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.
E) Update the CloudWatch metric used for your Auto Scaling policy, and enable sub-minute granularity to allow auto scaling to trigger faster.
Correct Answer:

Verified
Correct Answer:
Verified
Q24: A company wants to implement a CI/CD
Q25: A company is using AWS for an
Q26: You have deployed an application to AWS
Q27: Consider the portion of a CloudTrail log
Q28: An AWS CodePipeline pipeline has implemented a
Q30: A company wants to use Amazon DynamoDB
Q31: You are responsible for a large-scale video
Q32: A DevOps Engineer is leading the implementation
Q33: A DevOps Engineer must track the health
Q34: A DevOps Engineer at a startup cloud-based