Free Amazon DOP-C01 Exam Dumps Questions & Answers

A company has an application that has predictable peak traffic times. The company wants the application instances to scale up only during the peak times. The application stores state in Amazon DynamoDB. The application environment uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository.
Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing rolling updates of the application environment?

• A.  Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the custom recipes are stored, and add a layer in OpsWorks for the Node.js application server.
  Then configure the custom recipe to deploy the application in the deploy step. Configure time- based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
• B.  Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom recipes to point to the S3 bucket. Then add an application layer type for a standard Node.js application server and configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
• C.  Create a Docker file that uses the Chef recipes for the application environment based on an official Node.js Docker image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role that provides permission to access DynamoDB.
• D.  Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto Scaling group and set up scheduled scaling for the required times, then set up an Amazon EC2 IAM role that provides permission to access DynamoDB.

A company is adopting AWS CodeDeploy to automate its application deployments for a Java- Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?

• A.  Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the Beforelnstall lifecycle hook in the appspec.yml file
• B.  Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings.
  Reference this script as part of the Install lifecycle hook in the appspec yml file.
• C.  Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec yml file.
• D.  Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec yml file.

Your company wants to understand where cost is coming from in the company's production AWS account. There are a number of applications and services running at any given time. Without expending too much initial development time, how best can you give the business a good understanding of which applications cost the most per month to operate?

• A.  Use AWS Cost Allocation Tagging for all resources which support it. Use the Cost Explorer to analyze costs throughout the month.
• B.  Create an automation script which periodically creates AWS Support tickets requesting detailed intra-month information about your bill.
• C.  Use custom CloudWatch Metrics in your system, and put a metric data point whenever cost is incurred.
• D.  Use the AWS Price API and constantly running resource inventory scripts to calculate total price based on multiplication of consumed resources over time.

What needs to be done in order to remotely access a Docker daemon running on Linux?

• A.  enable the TCP socket
• B.  add certificate authentication to the docker API
• C.  change the encryption level to TLS
• D.  bind the Docker API to a unix socket

A DevOps Engineer encountered the following error when attempting to use an AWS CloudFormation template to create an Amazon ECS cluster:
An error occurred (InsufficientCapabilitiesException) when calling the CreateStack operation.
What caused this error and what steps need to be taken to allow the Engineer to successfully execute the AWS CloudFormation template?

• A.  CloudFormation is not capable of fulfilling the request of the specified resources in the current AWS Region. The Engineer needs to specify a new region and rerun the template.
• B.  The AWS CloudFormation service cannot be reached and is not capable of creating the cluster.
  The Engineer needs to confirm that routing and firewall rules are not preventing the AWS CloudFormation script from communicating with the AWS service endpoints, and then rerun the template execution.
• C.  The AWS user or role attempting to execute the CloudFormation template does not have the permissions required to create the resources within the template. The Engineer must review the user policies and add any permissions needed to create the resources and then rerun the template execution.
• D.  The CloudFormation execution was not granted the capability to create IAM resources. The Engineer needs to provide CAPABILITY_IAM and CAPABILITY_NAMED_IAM as capabilities in the CloudFormation execution parameters or provide the capabilities in the AWS Management Console.