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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) certification exam is designed for professionals who want to demonstrate their expertise in implementing and managing a DevOps environment on the AWS platform. AWS Certified DevOps Engineer - Professional certification exam is intended for individuals who have already obtained the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification and have at least two years of experience working in a DevOps environment.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q341-Q346):

NEW QUESTION # 341
A DevOps Engineer is designing a deployment strategy for a web application. The application will use an Auto Scaling group to launch Amazon EC2 instances using an AMI. The same infrastructure will be deployed in multiple environments (development, test, and quality assurance). The deployment strategy should meet the following requirements:
- Minimize the startup time for the instance
- Allow the same AMI to work in multiple environments
- Store secrets for multiple environments securely
How should this be accomplished?

• A. Preconfigure the AMI by installing all the software and configuration for all environments.
  Configure Auto Scaling to tag the instances at launch with their environment. Use the Amazon EC2 user data to trigger an AWS Lambda function that reads the instance ID and then reconfigures the setting for the proper environment. Use the AWS Systems Manager Parameter Store to store the secrets using AWS KMS.
• B. Use a standard AMI from the AWS Marketplace. Configure Auto Scaling to detect the current environment. Install the software using a script in Amazon EC2 user data. Use AWS Secrets Manager to store the credentials for all environments.
• C. Preconfigure the AMI by installing all the software using AWS Systems Manager automation and configure Auto Scaling to tag the instances at launch with their specific environment. Then use a bootstrap script in user data to read the tags and configure settings for the environment. Use the AWS Systems Manager Parameter Store to store the secrets using AWS KMS.
• D. Preconfigure the AMI using an AWS Lambda function that launches an Amazon EC2 instance, and then runs a script to install the software and create the AMI. Configure an Auto Scaling lifecycle hook to determine which environment the instance is launched in, and, based on that finding, run a configuration script. Save the secrets on an .ini file and store them in Amazon S3.
  Retrieve the secrets using a configuration script in EC2 user data.

Answer: C

NEW QUESTION # 342
Your company is planning on using the available services in AWS to completely automate their integration, build and deployment process. They are planning on usingAWSCodeBuild to build their artefacts. When using CodeBuild, which of the following files specifies a collection of build commands that can be used by the service during the build process.

• A. appspec.yml
• B. buildspec.yml
• C. appspec.json
• D. buildspecxml

Answer: B

Explanation:
Explanation
The AWS documentation mentions the following
AWS CodeBuild currently supports building from the following source code repository providers. The source code must contain a build specification (build spec) file, or the build spec must be declared as part of a build project definition. A buildspecs a collection of build commands and related settings, in YAML format, that AWS CodeBuild uses to run a build.
For more information on AWS CodeBuild, please refer to the below link:
* http://docs.aws.amazon.com/codebuild/latest/userguide/planning.html

NEW QUESTION # 343
A company is migrating an application to AWS that runs on a single Amazon EC2 instance. Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost-effective manner?

• A. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.
• B. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
• C. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
• D. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.

Answer: C

Explanation:
Explanation/Reference:

NEW QUESTION # 344
There is a very serious outage at AWS. EC2 is not affected, but your EC2 instance deployment scripts stopped working in the region with the outage. What might be the issue?

• A. AWS turns off the <code>DeployCode</code> API call when there are major outages, to protect from system floods.
• B. None of the other answers make sense. If EC2 is not affected, it must be some other issue.
• C. The AWS Console is down, so your CLI commands do not work.
• D. S3 is unavailable, so you can't create EBS volumes from a snapshot you use to deploy new volumes.

Answer: D

Explanation:
S3 stores all snapshots. If S3 is unavailable, snapshots are unavailable. Amazon EC2 also uses Amazon S3 to store snapshots (backup copies) of the data volumes. You can use snapshots for recovering data quickly and reliably in case of application or system failures. You can also use snapshots as a baseline to create multiple new data volumes, expand the size of an existing data volume, or move data volumes across multiple Availability Zones, thereby making your data usage highly scalable. For more information about using data volumes and snapshots, see Amazon Elastic Block Store.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AmazonS3.html

NEW QUESTION # 345
After reviewing the last quarter's monthly bills, management has noticed an increase in the overall bill from Amazon. After researching this increase in cost, you discovered that one of your new services is doing a lot of GET Bucket API calls to Amazon S3 to build a metadata cache of all objects in the applications bucket. Your boss has asked you to come up with a new cost-effective way to help reduce the amount of these new GET Bucket API calls. What process should you use to help mitigate the cost?

• A. Create a new DynamoDB table. Use the new DynamoDB table to store all metadata about all objects uploaded to Amazon S3. Any time a new object is uploaded, update the application's internal Amazon S3 object metadata cache from DynamoDB.
  C Using Amazon SNS, create a notification on any new Amazon S3 objects that automatical ly updates a new DynamoDB table to store all metadata about the new object. Subscribe the application to the Amazon SNS topic to update its internal Amazon S3 object metadata cache from the DynamoDB table.

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