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NEW QUESTION 22
You currently have an Autoscalinggroup that has the following settings
Min capacity-2
Desired capacity - 2
Maximum capacity - 4
The current number of instances running in the Autoscaling Group is 2. You have been notified that for a duration of an hour, you need to ensure that no new instances are launched by the Autoscaling Group Which of the below 2 actions can be carried out to fulfil this requirement
- A. Change the Desired capacity to 4
- B. Suspend the Launch process of the Autoscaling Group
- C. Change the Minimum capacity to 2
- D. Change the Maximum capacity to 2
Answer: B,D
Explanation:
Explanation
You can temporarily suspend the creation of new instances by either reducing the Maximum capacity to 2, so that the current instances running which is 2, matches the maximum limit.
Secondly you can suspend the launch process of the Autoscaling Group
The AWS Documentation mentions
Scaling Processes
Amazon CC2 Auto Scaling supports the following scaling processes:
Launch Adds a new CC2 instance to the group, increasing its capacity. Warning If you suspend Launch, this disrupts other processes. For example, you can't return an instance in a standby state to service if the Launch process is suspended, because the group can't scale. For more information on Autoscaling Suspend and Resume, please visit the below URL:
http://docs.aws.amazon.com/autoscaling/latest/userguide/as-suspend-resume-processes.html
NEW QUESTION 23
Which of the following tools does not directly support AWS OpsWorks, for monitoring your stacks?
- A. Amazon CloudWatch Metrics
- B. Amazon CloudWatch Logs
- C. AWS Config
- D. AWS CloudTrail
Answer: C
Explanation:
You can monitor your stacks in the following ways: AWS OpsWorks uses Amazon CloudWatch to provide thirteen custom metrics with detailed monitoring for each instance in the stack; AWS OpsWorks integrates with AWS CloudTrail to log every AWS OpsWorks API call and store the data in an Amazon S3 bucket; You can use Amazon CloudWatch Logs to monitor your stack's system, application, and custom logs.
http://docs.aws.amazon.com/opsworks/latest/userguide/monitoring.html
NEW QUESTION 24
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. 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.
- B. 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 BeforeInstall lifecycle hook in the appspec.yml file
- C. 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.
- 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: B
Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html
NEW QUESTION 25
A DevOps Engineer has a single Amazon DynamoDB table that received shipping orders and tracks inventory.
The Engineer has three AWS Lambda functions reading from a DymamoDB stream on that table. The Lambda functions perform various functions such as doing an item count, moving items to Amazon Kinesis Data Firehose, monitoring inventory levels, and creating vendor orders when parts are low.
While reviewing logs, the Engineer notices the Lambda functions occasionally fail under increased load, receiving a stream throttling error.
Which is the MOST cost-effective solution that requires the LEAST amount of operational management?
- A. Use Amazon Kinesis streams instead of DynamoDB streams, then use Kinesis analytics to trigger the Lambda functions.
- B. Create a fourth Lambda function and configure it to be the only Lambda reading from the stream. Then use this Lambda function to pass the payload to the other three Lambda functions.
- C. Have the Lambda functions query the table directly and disable DynamoDB streams. Then have the Lambda functions query from a global secondary index.
- D. Use AWS Glue integration to ingest the DynamoDB stream, then migrate the Lambda code to an AWS Fargate task.
Answer: B
NEW QUESTION 26
A DevOps Engineer is developing a deployment strategy that will allow for data-driven decisions before a feature is fully approved for general availability. The current deployment process uses AWS CloudFormation and blue/green-style deployments. The development team has decided that customers should be randomly assigned to groups, rather than using a set percentage, and redirects should be avoided.
What process should be followed to implement the new deployment strategy?
- A. Configure Amazon Route 53 weighted records for the blue and green stacks, with 50% of traffic configured to route to each stack.
- B. Configure Amazon Route 53 with an AWS Lambda function to set a cookie when Amazon CloudFront receives a request. Assign the user to version A or B, then return the corresponding version to the viewer.
- C. Configure Amazon CloudFront with an AWS Lambda@Edge function to set a cookie when CloudFront receives a request. Assign the user to a version A or B, and configure the web server to redirect to version A or B.
- D. Configure Amazon CloudFront with an AWS Lambda@Edge function to set a cookie when CloudFront receives a request. Assign the user to a version A or B, then return the corresponding version to the viewer.
Answer: D
NEW QUESTION 27
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