RELIABLE DOP-C01 EXAM PREP, DOP-C01 STUDY GUIDE PDF

Reliable DOP-C01 Exam Prep, DOP-C01 Study Guide Pdf

Reliable DOP-C01 Exam Prep, DOP-C01 Study Guide Pdf

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Often candidates fail the DOP-C01 exam due to the fact that they do not know the tactics of attempting the AWS Certified DevOps Engineer - Professional (DOP-C01) exam in an ideal way. The decisive part is often effective time management. Some Amazon DOP-C01 Exam Questions demand more attention than others, which disturbs the time allotted to each topic. The best way to counter them is to use an updated DOP-C01 Dumps.

To be eligible for the AWS Certified DevOps Engineer - Professional exam, candidates must have a valid AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification. Additionally, candidates should have at least two years of experience in a DevOps role on AWS and should be familiar with at least one high-level programming language.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q423-Q428):

NEW QUESTION # 423
An IT team has built an AWS CloudFormation template so others in the company can quickly and reliably deploy and terminate an application. The template creates an Amazon EC2 instance with a user data script to install the application and an Amazon S3 bucket that the application uses to serve static webpages while it is running.
All resources should be removed when the CloudFormation stack is deleted. However, the team observes that CloudFormation reports an error during stack deletion, and the S3 bucket created by the stack is not deleted.
How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?

  • A. Replace the EC2 and S3 bucket resources with a single AWS OpsWorks Stacks resource. Define a custom recipe for the stack to create and delete the EC2 instance and the S3 bucket.
  • B. Add a custom resource when an AWS Lambda function with the DependsOnattribute specifying the S3 bucket, and an IAM role. Writhe the Lambda function to delete all objects from the bucket when the RequestTypeis Delete.
  • C. Identify the resource that was not deleted. From the S3 console, empty the S3 bucket and then delete it.
  • D. Add DeletionPolicyattribute to the S3 bucket resource, with the value Deleteforcing the bucket to be removed when the stack is deleted.

Answer: C


NEW QUESTION # 424
A social networking service runs a web API that allows its partners to search public posts. Post data is stored in Amazon DynamoDB and indexed by AWS Lambda functions, with an Amazon ES domain storing the indexes and providing search functionality to the application.
The service needs to maintain full capacity during deployments and ensure that failed deployments do not cause downtime or reduced capacity, or prevent subsequent deployments.
How can these requirements be met? (Select TWO )

  • A. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy in-place deployment.
  • B. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy blue/green deployment.
  • C. Run the web application in AWS Elastic Beanstalk with the deployment policy set to All at Once.
    Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
  • D. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Rolling. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
  • E. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Immutable.
    Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.

Answer: A,E


NEW QUESTION # 425
For auditing, analytics, and troubleshooting purposes, a DevOps Engineer for a data analytics application needs to collect all of the application and Linux system logs from the Amazon EC2 instances before termination. The company, on average, runs 10,000 instances in an Auto Scaling group. The company requires the ability to quickly find logs based on instance IDs and date ranges.
Which is the MOST cost-effective solution?

  • A. Create an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon CloudWatch Logs, create a CloudWatch Events rule to trigger an AWS Lambda function to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.
  • B. Create an EC2 Instance-terminate Lifecycle Action on the group, push the logs into Amazon Kinesis Data Firehouse, and select Amazon ES as the destination for providing storage and search capability.
  • C. Create an EC2 Instance-terminate Lifecycle Action on the group, create an Amazon CloudWatch Events rule based on it to trigger an AWS Lambda function for storing the logs in Amazon S3, and create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.
  • D. Create an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon S3, and trigger an AWS Lambda function based on S3 PUT to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.

Answer: C

Explanation:
Because using Amazon CloudWatch Events rule is better than writing a script.


NEW QUESTION # 426
A company is using AWS CodeDeploy to automate software deployment. The deployment must meet these requirements:
*A number of instances must be available to serve traffic during the deployment. Traffic must be balanced across those instances, and the instances must automatically heal in the event of failure.
*A new fleet of instances must be launched for deploying a new revision automatically, with no manual provisioning.
*Traffic must be rerouted to the new environment to half of the new instances at a time. The deployment should succeed if traffic is rerouted to at least half of the instances; otherwise, it should fail.
*Before routing traffic to the new fleet of instances, the temporary files generated during the deployment process must be deleted.
*At the end of a successful deployment, the original instances in the deployment group must be deleted immediately to reduce costs.
How can a DevOps Engineer meet these requirements?

  • A. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault HalfAtAtime as the deployment configuration.
    Instruct AWS CodeDeploy to terminate the original isntances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files.
  • B. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, create a custom deployment configuration with minimum healthy hosts defined as 50%, and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeBlock Traffic hook within appsec.yml to delete the temporary files.
  • C. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault AllatOnce as a deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appsec.yml to delete the temporary files.
  • D. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy option, and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original Auto Scaling group instances in the deployment group, and use the AllowTraffic hook within appspec.yml to delete the temporary files.

Answer: D


NEW QUESTION # 427
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. UseSQS to cache the database queries
  • B. UseElastiCache in front of your Amazon RDS DB to cache common queries.
  • C. CreateAmazon DB Read Replica's. Configure the application layer to query the readreplica's for query needs.
  • D. UseAutoscaling to scale out and scale in the database tier

Answer: B,C

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 # 428
......

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