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Achieving the DOP-C02 certification demonstrates that an individual has in-depth knowledge of AWS services and how they can be used to implement and manage DevOps practices. It also validates the individual's ability to design and implement highly available, fault-tolerant, and scalable AWS systems. AWS Certified DevOps Engineer - Professional certification can enhance the individual's career prospects and make them more marketable to potential employers.
Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) certification exam is designed for individuals who possess a deep understanding of various DevOps practices and how to implement them on the AWS platform. AWS Certified DevOps Engineer - Professional certification validates the ability of an individual to design, deploy, operate, and manage highly available, scalable, and fault-tolerant systems on AWS.
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Amazon DOP-C02 certification exam is a challenging exam that requires extensive knowledge of DevOps methodologies and AWS services. It consists of multiple-choice questions and is administered in a proctored environment. DOP-C02 Exam is designed to test an individual's ability to apply their knowledge of DevOps methodologies and AWS services to real-world scenarios. Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q14-Q19):NEW QUESTION # 14
A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review.
The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:
What changes should be recommended to comply with AWS security best practices? (Select THREE.)
A. Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.
B. Move the environment variables to the 'db.-deploy-bucket 'Amazon S3 bucket, add a prebuild stage to download then export the variables.
C. Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.
D. Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.
E. Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.
Answer: A,D,E
Explanation:
B). Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable. C. Store the DB_PASSWORD as a SecureString value in AWS Systems Manager Parameter Store and then remove the DB_PASSWORD from the environment variables. E. Use AWS Systems Manager run command versus scp and ssh commands directly to the instance.
NEW QUESTION # 15
A company is implementing AWS CodePipeline to automate its testing process The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon EventBridge:
Which type of events will match this event pattern?
A. Failed deploy and build actions across all the pipelines
B. Approval actions across all the pipelines
C. All the events across all pipelines
D. All rejected or failed approval actions across all the pipelines
Answer: D
Explanation:
Explanation
Action-level states in events
Action state Description
STARTED The action is currently running.
SUCCEEDED The action was completed successfully.
FAILED For Approval actions, the FAILED state means the action was either rejected by the reviewer or failed due to an incorrect action configuration.
CANCELED The action was canceled because the pipeline structure was updated.
NEW QUESTION # 16
A company is using an organization in AWS Organizations to manage multiple AWS accounts. The company's development team wants to use AWS Lambda functions to meet resiliency requirements and is rewriting all applications to work with Lambda functions that are deployed in a VPC. The development team is using Amazon Elastic Pile System (Amazon EFS) as shared storage in Account A in the organization.
The company wants to continue to use Amazon EPS with Lambda Company policy requires all serverless projects to be deployed in Account B.
A DevOps engineer needs to reconfigure an existing EFS file system to allow Lambda functions to access the data through an existing EPS access point.
Which combination of steps should the DevOps engineer take to meet these requirements? (Select THREE.)
A. Create a new EFS file system in Account B Use AWS Database Migration Service (AWS DMS) to keep data from Account A and Account B synchronized.
B. Update the Lambda execution roles with permission to access the VPC and the EFS file system.
C. Create a VPC peering connection to connect Account A to Account B.
D. Configure the Lambda functions in Account B to assume an existing IAM role in Account A.
E. Create SCPs to set permission guardrails with fine-grained control for Amazon EFS.
F. Update the EFS file system policy to provide Account B with access to mount and write to the EFS file system in Account A.
Answer: C,D,F
Explanation:
A Lambda function in one account can mount a file system in a different account. For this scenario, you configure VPC peering between the function VPC and the file system VPC.https://docs.aws.amazon.com
/lambda/latest/dg/services-efs.html https://aws.amazon.com/ru/blogs/ ... nt-from-amazon-eks/
1. Need to update the file system policy on EFS to allow mounting the file system into Account B.
## File System Policy
$ cat file-system-policy.json
{
"Statement": [
{
"Effect": "Allow",
"Action": [
"elasticfilesystem:ClientMount",
"elasticfilesystem:ClientWrite"
],
"Principal": {
"AWS": "arn:aws:iam::<aws-account-id-A>:root" # Replace with AWS account ID of EKS cluster
}
}
]
}
2. Need VPC peering between Account A and Account B as the pre-requisite
3. Need to assume cross-account IAM role to describe the mounts so that a specific mount can be chosen.
NEW QUESTION # 17
A company uses AWS WAF to protect its cloud infrastructure. A DevOps engineer needs to give an operations team the ability to analyze log messages from AWS WAR. The operations team needs to be able to create alarms for specific patterns in the log output.
Which solution will meet these requirements with the LEAST operational overhead?
A. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Instruct the operations team to create AWS Lambda functions that detect each desired log message pattern. Configure the Lambda functions to publish to an Amazon Simple Notification Service (Amazon SNS) topic.
B. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Use Amazon Athena to create an external table definition that fits the log message pattern. Instruct the operations team to write SOL queries and to create Amazon CloudWatch metric filters for the Athena queries.
C. Create an Amazon OpenSearch Service cluster and appropriate indexes. Configure an Amazon Kinesis Data Firehose delivery stream to stream log data to the indexes. Use OpenSearch Dashboards to create filters and widgets.
D. Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.
Answer: D
Explanation:
Step 1: Sending AWS WAF Logs to CloudWatch Logs
AWS WAF allows you to log requests that are evaluated against your web ACLs. These logs can be sent directly to CloudWatch Logs, which enables real-time monitoring and analysis.
Action: Configure the AWS WAF web ACL to send log messages to a CloudWatch Logs log group.
Why: This allows the operations team to view the logs in real time and analyze patterns using CloudWatch metric filters.
Reference:
Step 2: Creating CloudWatch Metric Filters
CloudWatch metric filters can be used to search for specific patterns in log data. The operations team can create filters for certain log patterns and set up alarms based on these filters.
Action: Instruct the operations team to create CloudWatch metric filters to detect patterns in the WAF log output.
Why: Metric filters allow the team to trigger alarms based on specific patterns without needing to manually search through logs.
This corresponds to Option A: Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.
NEW QUESTION # 18
A company uses an Amazon Aurora PostgreSQL global database that has two secondary AWS Regions. A DevOps engineer has configured the database parameter group to guarantee an RPO of 60 seconds. Write operations on the primary cluster are occasionally blocked because of the RPO setting.
The DevOps engineer needs to reduce the frequency of blocked write operations.
Which solution will meet these requirements?
A. Remove one of the secondary clusters from the global database.
B. Add an additional secondary cluster to the global database.
C. Enable write forwarding for the global database.
D. Configure synchronous replication for the global database.
Answer: A
Explanation:
* Step 1: Reducing Replication Lag in Aurora Global DatabasesIn Amazon Aurora global databases, write operations on the primary cluster can be delayed due to the time it takes to replicate to secondary clusters, especially when there are multiple secondary regions involved.
* Issue:The write operations are occasionally blocked due to the RPO setting, which guarantees replication within 60 seconds.
* Action:Remove one of the secondary clusters from the global database.
* Why:Fewer secondary clusters will reduce the overall replication lag, improving write performance and reducing the frequency of blocked writes.
