Vendor: Amazon
Exam Code: DOP-C01
Exam Name: AWS Certified DevOps Engineer - Professional (DOP-C01)
Certification: Amazon Certifications
Total Questions: 559 Q&A
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Updated on: Dec 16, 2024
Exam retired
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You have an Auto Sealing group of Instances that processes messages from an Amazon Simple Queue Service (SQS) queue. The group scales on the size of the queue. Processing Involves calling a third-party web service. The web service
is complaining about the number of failed and repeated calls it is receiving from you. You have noticed that when the group scales in, instances are being terminated while they are processing.
What cost-effective solution can you use to reduce the number of incomplete process attempts?
A. Create a new Auto Scaling group with minimum and maximum of 2 and instances running web proxy software. Configure the VPC route table to route HTTP traffic to these web proxies.
B. Modify the application running on the instances to enable termination protection while it processes a task and disable it when the processing is complete.
C. Increase the minimum and maximum size for the Auto Scaling group, and change the scaling policies so they scale less dynamically.
D. Modify the application running on the instances to put itself into an Auto Scaling Standby state while it processes a task and return itself to InService when the processing is complete.
A DevOps Engineer is researching the least-expensive way to implement an image batch processing cluster in AWS. The application cannot run in Docker containers and must run on Amazon EC2. The batch job stores checkpoint data on a Network File System (NFS) and can tolerate interruptions. Configuring the cluster software from a bare EC2 Amazon Linux image takes 30 minutes.
Which is the MOST cost-effective solution?
A. Use Amazon EFS for checkpoint data. To complete the job, use an EC2 Auto Scaling group and an On-Demand pricing model to provision EC2 instances temporarily.
B. Use GlusterFS on EC2 instances for checkpoint data. To run the batch job, configure EC2 instances manually. When the job completes, shut down the instances manually.
C. Use Amazon EFS for checkpoint data. Use EC2 Fleet to launch EC2 Spot Instances, and use user data to configure the EC2 Amazon Linux instance on startup.
D. Use Amazon EFS for checkpoint data. Use EC2 Fleet to launch EC2 Spot Instances. Create a standard cluster AMI and use the latest AMI when creating instances.
A company is deploying a container-based application using AWS CodeBuild. The Security team mandates that all containers are scanned for vulnerabilities prior to deployment using a password- protected endpoint. All sensitive information must be stored securely.
Which solution should be used to meet these requirements?
A. Encrypt the password using AWS KMS. Store the encrypted password in the buildspec.yml file as an environment variable under the variables mapping. Reference the environment variable to initiate scanning.
B. Import the password into an AWS CloudHSM key. Reference the CloudHSM key in the buildpec.yml file as an environment variable under the variables mapping. Reference the environment variable to initiate scanning.
C. Store the password in the AWS Systems Manager Parameter Store as a secure string. Add the Parameter Store key to the buildspec.yml file as an environment variable under the parameter-store mapping. Reference the environment variable to initiate scanning.
D. Use the AWS Encryption SDK to encrypt the password and embed in the buildspec.yml file as a variable under the secrets mapping. Attach a policy to CodeBuild to enable access to the required decryption key.
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