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The AWS Certified DevOps Engineer - Professional certification exam is intended for professionals who have a minimum of two years of experience working with AWS and at least five years of experience working in a DevOps role. Candidates for this certification are expected to have a thorough understanding of the principles and practices of continuous integration and continuous delivery (CI/CD), as well as the ability to automate and manage infrastructure using AWS tools.

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To prepare for the DOP-C02 Exam, candidates should have a solid understanding of DevOps principles and practices, as well as experience working with AWS services and tools. Amazon recommends that candidates have at least two years of experience in a DevOps role and a strong understanding of programming languages and scripting. Candidates can also take advantage of AWS training and certification resources, including online courses, practice exams, and instructor-led training, to prepare for the exam and enhance their skills and knowledge in DevOps and AWS.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q66-Q71):

NEW QUESTION # 66
A company uses AWS Directory Service for Microsoft Active Directory as its identity provider (IdP). The company requires all infrastructure to be defined and deployed by AWS CloudFormation.
A DevOps engineer needs to create a fleet of Windows-based Amazon EC2 instances to host an application. The DevOps engineer has created a CloudFormation template that contains an EC2 launch template, IAM role, EC2 security group, and EC2 Auto Scaling group. The DevOps engineer must implement a solution that joins all EC2 instances to the domain of the AWS Managed Microsoft AD directory.
Which solution will meet these requirements with the MOST operational efficiency?

A. In the CloudFormation template, create an AWS::SSM::Document resource that joins the EC2 instance to the AWS Managed Microsoft AD domain by using the parameters for the existing directory. Update the launch template to include the SSMAssociation property to use the new SSM document. Attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed policies to the IAM role that the EC2 instances use.
B. Store the existing AWS Managed Microsoft AD domain administrator credentials in AWS Secrets Manager. In the CloudFormation template, update the EC2 launch template to include user data. Configure the user data to pull the administrator credentials from Secrets Manager and to join the AWS Managed Microsoft AD domain. Attach the AmazonSSMManagedlnstanceCore and SecretsManagerReadWrite AWS managed policies to the IAM role that the EC2 instances use.
C. Store the existing AWS Managed Microsoft AD domain connection details in AWS Secrets Manager. In the CloudFormation template, create an AWS::SSM::Association resource to associate the AWS-CreateManagedWindowslnstanceWithApproval Automation runbook with the EC2 Auto Scaling group. Pass the ARNs for the parameters from Secrets Manager to join the domain. Attach the AmazonSSMDirectoryServiceAccess and SecretsManagerReadWrite AWS managed policies to the IAM role that the EC2 instances use.
D. In the CloudFormation template, update the launch template to include specific tags that propagate on launch. Create an AWS::SSM::Association resource to associate the AWS-JoinDirectoryServiceDomain Automation runbook with the EC2 instances that have the specified tags. Define the required parameters to join the AWS Managed Microsoft AD directory. Attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed policies to the IAM role that the EC2 instances use.

Answer: D

Explanation:
To meet the requirements, the DevOps engineer needs to create a solution that joins all EC2 instances to the domain of the AWS Managed Microsoft AD directory with the most operational efficiency. The DevOps engineer can use AWS Systems Manager Automation to automate the domain join process using an existing runbook called AWS-JoinDirectoryServiceDomain. This runbook can join Windows instances to an AWS Managed Microsoft AD or Simple AD directory by using PowerShell commands. The DevOps engineer can create an AWS::SSM::Association resource in the CloudFormation template to associate the runbook with the EC2 instances that have specific tags. The tags can be defined in the launch template and propagated on launch to the EC2 instances. The DevOps engineer can also define the required parameters for the runbook, such as the directory ID, directory name, and organizational unit. The DevOps engineer can attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed policies to the IAM role that the EC2 instances use. These policies grant the necessary permissions for Systems Manager and Directory Service operations.

NEW QUESTION # 67
A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.
The company's DevOps team has noticed high latency during the processing and ingestion of some logs.
Which combination of steps will reduce the latency? (Select THREE.)

A. Increase the ParallelizationFactor setting in the Lambda event source mapping.
B. Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer.
C. Configure reserved concurrency for the Lambda function that processes the logs.
Increase the batch size in the Kinesis data stream.
D. Turn off the ReportBatchltemFailures setting in the Lambda event source mapping.
Increase the number of shards in the Kinesis data stream.

Answer: A,B,C

Explanation:
The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:
Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function to receive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.
Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.
Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.
The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.
Reference:
1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda
2: AWS Lambda event source mappings - AWS Lambda
3: Managing concurrency for a Lambda function - AWS Lambda
4: AWS Lambda function scaling - AWS Lambda
: AWS Lambda event source mappings - AWS Lambda
: Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams

NEW QUESTION # 68
A company has set up AWS CodeArtifact repositories with public upstream repositories The company's development team consumes open source dependencies from the repositories in the company's internal network.
The company's security team recently discovered a critical vulnerability in the most recent version of a package that the development team consumes. The security team has produced a patched version to fix the vulnerability. The company needs to prevent the vulnerable version from being downloaded. The company also needs to allow the security team to publish the patched version.
Which combination of steps will meet these requirements? {Select TWO.)

A. Update the status of the affected CodeArtifact package version to archived.
B. Update the CodeArtifact package origin control settings to block direct publishing and to allow upstream operations.
C. Update the CodeArtifact package origin control settings to allow direct publishing and to block upstream operations
D. Update the status of the affected CodeArtifact package version to unlisted
E. Update the status of the affected CodeArtifact package version to deleted

Answer: C,E

Explanation:
Update the status of the affected CodeArtifact package version to deleted:
Deleting the vulnerable package version prevents it from being available for download by any users or systems, ensuring that the compromised version is not consumed.
Update the CodeArtifact package origin control settings to allow direct publishing and to block upstream operations:
By allowing direct publishing, the security team can publish the patched version of the package directly to the CodeArtifact repository.
Blocking upstream operations prevents the repository from automatically fetching and serving the vulnerable package version from upstream public repositories.
By deleting the vulnerable version and configuring the origin control settings to allow direct publishing and block upstream operations, the company ensures that only the patched version is available and the vulnerable version cannot be downloaded.
Reference:
Managing Package Versions in CodeArtifact
Package Origin Controls in CodeArtifact

NEW QUESTION # 69
A DevOps team operates an integration service that runs on an Amazon EC2 instance. The DevOps team uses Amazon Route 53 to manage the integration service's domain name by using a simple routing record. The integration service is stateful and uses Amazon Elastic File System (Amazon EFS) for data storage and state storage. The integration service does not support load balancing between multiple nodes. The DevOps team deploys the integration service on a new EC2 instance as a warm standby to reduce the mean time to recovery.
The DevOps team wants the integration service to automatically fail over to the standby EC2 instance. Which solution will meet these requirements?

A. Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB.
Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group's weighting to 100. Set the standby target group's weighting to 0.
B. Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 100. For the same domain, add a new DNS record that points to the standby EC2 instance.
Set the new DNS record's weighting to 0. Associate an application health check with each record.
C. Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB.
Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group's weighting to 99. Set the standby target group's weighting to 1.
D. Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 99. For the same domain, add a new DNS record that points to the standby EC2 instance.
Set the new DNS record's weighting to 1. Associate an application health check with each record.

Answer: B

NEW QUESTION # 70
A company has deployed an application in a single AWS Region. The application backend uses Amazon DynamoDB tables and Amazon S3 buckets.
The company wants to deploy the application in a secondary Region. The company must ensure that the data in the DynamoDB tables and the S3 buckets persists across both Regions. The data must also immediately propagate across Regions.
Which solution will meet these requirements with the MOST operational efficiency?

A. Implement S3 Batch Operations copy jobs between the primary Region and the secondary Region for all S3 buckets. Convert the DynamoDB tables into global tables. Set the secondary Region as the additional Region.
B. Implement S3 Batch Operations copy jobs between the primary Region and the secondary Region for all S3 buckets. Enable DynamoDB streams on the DynamoDB tables in both Regions. In each Region, create an AWS Lambda function that subscribes to the DynamoDB streams. Configure the Lambda function to copy new records to the DynamoDB tables in the other Region.
C. Implement two-way S3 bucket replication between the primary Region's S3 buckets and the secondary Region's S3 buckets. Enable DynamoDB streams on the DynamoDB tables in both Regions. In each Region, create an AWS Lambda function that subscribes to the DynamoDB streams. Configure the Lambda function to copy new records to the DynamoDB tables in the other Region.
D. Implement two-way S3 bucket replication between the primary Region's S3 buckets and the secondary Region's S3 buckets. Convert the DynamoDB tables into global tables. Set the secondary Region as the additional Region.

Answer: D

Explanation:
The company needs multi-Region data persistence with immediate propagation and minimal operational overhead. For S3, the correct mechanism is S3 replication (Cross-Region Replication or Same-Region Replication), which continuously and asynchronously replicates new objects as they are written. Configuring two-way replication between the primary and secondary Region buckets ensures that objects written in either Region are replicated to the other automatically without custom code.
For DynamoDB, the native solution for multi-Region replication is DynamoDB global tables. Global tables provide multi-master, multi-Region replication with low-latency reads and writes in each Region and automatic propagation of changes. Converting existing tables into global tables and adding the secondary Region as a replica gives immediate, managed cross-Region replication with minimal maintenance.
Option A combines these two fully managed features: two-way S3 replication and DynamoDB global tables.
This yields the highest operational efficiency.
Options B, C, and D rely on S3 Batch Operations or DynamoDB Streams + Lambda to manually copy data cross-Region. These approaches add complexity, custom code, and operational risk, and they are less suitable when AWS provides managed replication mechanisms specifically designed for this purpose.
Therefore, Option A is the correct and most efficient solution.

NEW QUESTION # 71
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