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NEW QUESTION 43
You need to process long-running jobs once and only once. How might you do this?
- A. Use an SNS queue and set the reprocessing timeout to long enough for jobs to process.
- B. Use an SNS queue and set the visibility timeout to long enough for jobs to process.
- C. Use an SQS queue and set the reprocessing timeout to long enough for jobs to process.
- D. Use an SQS queue and set the visibility timeout to long enough for jobs to process.
Answer: D
Explanation:
The message timeout defines how long after a successful receive request SQS waits before allowing jobs to be seen by other components, and proper configuration prevents duplicate processing.
http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/MessageLife cycle.ht ml
NEW QUESTION 44
A company hosts parts of a Python-based application using AWS Elastic Beanstalk. An Elastic Beanstalk CLI is being used to create and update the environments. The Operations team detected an increase in requests in one of the Elastic Beanstalk environments that caused downtime overnight. The team noted that the policy used for AWS Auto Scaling is NetworkOut.
Based on load testing metrics, the team determined that the application needs to scale CPU utilization to improve the resilience of the environments. The team wants to implement this across all environments automatically. Following AWS recommendations, how should this automation be implemented?
- A. Using ebextensions, configure the option setting MeasureName to CPUUtilization within the aws:autoscaling:trigger namespace.
- B. Using ebextensions, place a script within the files key and place it in /opt/elasticbeanstalk/ to perform an API call to modify the scaling metric to CPUUtilization for hooks/appdeploy/pre the Auto Scaling configuration. Use leader_only to place this script in only the first instance launched within the environment.
- C. Using ebextensions, create a custom resource that modifies the and
AWSEBAutoScalingScaleDownPolicy resources to
AWSEBAutoScalingScaleUpPolicy
use CPUUtilization as a metric to scale for the Auto Scaling group. - D. Using ebextensions, place a command within the container_commands key to perform an API call to modify the scaling metric to CPUUtilization for the Auto Scaling configuration. Use leader_only to execute this command in only the first instance launched within the environment.
Answer: A
NEW QUESTION 45
A social networking service runs a web API that allows its partners to search public posts. Post data is stored in Amazon DynamoDB and indexed by AWS Lambda functions, with an Amazon ES domain storing the indexes and providing search functionality to the application. The service needs to maintain full capacity during deployments and ensure that failed deployments do not cause downtime or reduced capacity, or prevent subsequent deployments.
How can these requirements be met? (Select TWO )
- A. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy in-place deployment.
- B. Run the web application in AWS Elastic Beanstalk with the deployment policy set to All at Once.
Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template. - C. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Immutable Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
- D. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy blue/green deployment.
- E. Run the web.application in AWS Elastic Beanstalk with the deployment policy set to Rolling Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
Answer: C,D
NEW QUESTION 46
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