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DOP-C01 Study Materials - AWS Certified DevOps Engineer - Professional Realistic Latest Braindumps Files
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The AWS-DevOps exam covers a wide range of topics, including automation, infrastructure as code, monitoring and logging, security, and compliance. Candidates are required to have a deep understanding of AWS services and tools, as well as experience in designing and managing scalable, fault-tolerant, and highly available systems. DOP-C01 exam also tests the ability to implement continuous integration and continuous delivery (CI/CD) pipelines, perform testing and deployment automation, and troubleshoot common issues in AWS environments.
The DOP-C01 Exam covers a wide range of topics related to DevOps, including continuous integration and delivery, infrastructure as code, monitoring and logging, security and compliance, and automation and optimization. Candidates are required to have a deep understanding of these topics and how they relate to the AWS platform. DOP-C01 exam also tests candidates' ability to design, implement, and manage AWS services and applications in a DevOps environment.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q206-Q211):
NEW QUESTION # 206
Your company is hosting an application in AWS. The application consists of a set of web servers and AWS RDS. The application is a read intensive application. It has been noticed that the response time of the application decreases due to the load on the AWS RDS instance. Which of the following measures can be taken to scale the data tier. Choose 2 answers from the options given below
- A. CreateAmazon DB Read Replica's. Configure the application layer to query the readreplica's for query needs.
- B. UseSQS to cache the database queries
- C. UseAutoscaling to scale out and scale in the database tier
- D. UseElastiCache in front of your Amazon RDS DB to cache common queries.
Answer: A,D
Explanation:
Explanation
The AWS documentation mentions the following
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances. This replication feature makes it easy to elastically scale out beyond the capacity constraints of a single DB Instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas can also be promoted when needed to become standalone DB instances.
For more information on AWS RDS Read Replica's, please visit the below URL:
https://aws.amazon.com/rds/details/read-replicas/
Amazon OastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases.
For more information on AWS Clastic Cache, please visit the below URL:
* https://aws.amazon.com/elasticache/
NEW QUESTION # 207
A DevOps Engineer has been asked by the Security team to ensure that AWS CloudTrail files are not tampered with after being created. Currently, there is a process with multiple trails, using AWS IAM to restrict access to specific trails. The Security team wants to ensure they can trace the integrity of each file and make sure there has been no tampering. Which option will require the LEAST effort to implement and ensure the legitimacy of the file while allowing the Security team to prove the authenticity of the logs?
- A. Create an AWS Lambda function that is triggered each time a new file is delivered to the CloudTrail bucket. Configure the Lambda function to execute an MD5 hash check on the file, and store the result on a tag in an Amazon S3 object. The Security team can use the information on the tag to verify the integrity of the file.
- B. Enable the CloudTrail file integrity feature on an Amazon S3 bucket. Create an IAM policy that grants the Security team access to the file integrity logs stored in the S3 bucket.
- C. Create an Amazon CloudWatch Events rule that triggers an AWS Lambda function when a new file is delivered. Configure the Lambda function to perform an MD5 hash check on the file, store the name and location of the file, and post the returned hash to an Amazon DynamoDB table. The Security team can use the values stored in DynamoDB to verify the file authenticity.
- D. Enable the CloudTrail file integrity feature on the trail. Use the digest file created by CloudTrail to verify the integrity of the delivered CloudTrail files.
Answer: D
Explanation:
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-log-file-validation-intro.html
NEW QUESTION # 208
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. 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. - B. 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.
- 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 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.
Answer: C
NEW QUESTION # 209
A DevOps engineer is building a centralized CI/CD pipeline using AWS CodeBuild, AWS CodeDeploy, and Amazon S3. The engineer is required to have least privilege access and individual encryption at rest for all artifacts in Amazon S3. The engineer must be able to prune old artifacts without the ability to download or read them.
The engineer has already completed the following steps:
1. Created a unique AWS KMS CMK and S3 bucket for each project's
builds.
2. Updated the S3 bucket policy to only allow uploads that use the
associated KMS encryption.
Which final step should be taken to meet these requirements?
- A. Update the attached IAM policies to allow access to the appropriate KMS key from the CodeDeploy role where the application will be deployed.
- B. Update the CMK key policy to allow access to the appropriate KMS key from the CodeDeploy role where the application will be deployed.
- C. Update the attached IAM policies to allow access to the appropriate KMS key from the EC2 instance roles where the application will be deployed.
- D. Update the CMK key policy to allow to the appropriate KMS key from the EC2 instance roles where the application will be deployed.
Answer: A
NEW QUESTION # 210
A company's application is running on Amazon EC2 instances in an Auto Scaling group. A DevOps engineer needs to ensure there are at least four application servers running at all times. Whenever an update has to be made to the application, the engineer creates a new AMI with the updated configuration and updates the AWS CloudFormation template with the new AMI ID. After the stack update finishes, the engineer manually terminates the old instances one by one. verifying that the new instance is operational before proceeding. The engineer needs to automate this process.
Which action will allow for the LEAST number of manual steps moving forward?
- A. Use an Auto Scaling lifecycle hook to confirm there are at least four running instances before allowing the DevOps engineer's selected instance to terminate.
- B. Update the CloudFormation template to include the UpdatePolicy attribute with the AutoScalingRollingUpdate policy.
- C. Update the CloudFormation template to include the UpdatePolicy attribute with the AutoScalingReplacingUpdate policy.
- D. Use an Auto Scaling lifecycle hook to verify that the previous instance is operational before allowing the DevOps engineer's selected instance to terminate.
Answer: B
NEW QUESTION # 211
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