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Incident and Event Response (18%)
- Troubleshooting the issues and defining how to restore the operations.
- Applying the concepts required for implementing automated healing and setting up the event-driven automated actions;
- Defining how to automate event management & alerting;
Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) certification exam is a sought-after credential for professionals who want to demonstrate their expertise in DevOps practices and technologies on the Amazon Web Services (AWS) platform. AWS Certified DevOps Engineer - Professional certification exam is designed for experienced DevOps engineers who have a deep understanding of AWS services and can design, deploy, and manage scalable, fault-tolerant, and highly available systems.
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Achieving the Amazon DOP-C01 certification can open up new career opportunities for professionals in the DevOps field. It can demonstrate to employers that a candidate has the skills and knowledge necessary to design, deploy, and operate applications and infrastructure on the AWS platform. Additionally, it can help professionals increase their earning potential and gain recognition within the industry.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q11-Q16):
NEW QUESTION # 11
A rapidly growing company wants to scale for Developer demand for AWS development environments. Development environments are created manually in the AWS Management Console. The Networking team uses AWS CloudFormation to manage the networking infrastructure, exporting stack output values for the Amazon VPC and all subnets. The development environments have common standards, such as Application Load Balancers, Amazon EC2 Auto Scaling groups, security groups, and Amazon DynamoDB tables.
To keep up with the demand, the DevOps Engineer wants to automate the creation of development environments. Because the infrastructure required to support the application is expected to grow, there must be a way to easily update the deployed infrastructure.
CloudFormation will be used to create a template for the development environments.
Which approach will meet these requirements and quickly provide consistent AWS environments for Developers?
- A. Use nested stacks to define common infrastructure components. Use Fn::ImportValue intrinsic functions with the resources of the nested stack to retrieve Virtual Private Cloud (VPC) and subnet values. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.
- B. Use Fn:ImportValue intrinsic functions in the Parameters section of the master template to retrieve Virtual Private Cloud (VPC) and subnet values. Define the development resources in the order they need to be created in the CloudFormation nested stacks. Use the CreateChangeSet and commands to update existing development environments.
ExecuteChangeSet - C. Use nested stacks to define common infrastructure components. To access the exported values, use to reference the Networking team's template. To retrieve Virtual Private Cloud (VPC) TemplateURL and subnet values, use Fn::ImportValue intrinsic functions in the Parameters section of the master template. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.
- D. Use Fn:ImportValue intrinsic functions in the Resources section of the template to retrieve Virtual Private Cloud (VPC) and subnet values. Use CloudFormation StackSets for the development environments, using the Count input parameter to indicate the number of environments needed.
use the UpdateStackSet command to update existing development environments.
Answer: A
Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference- importvalue.html
NEW QUESTION # 12
A DevOps team manages an API running on-premises that serves as a backend for an Amazon API Gateway endpoint. Customers have been complaining about high response latencies, which the development team has verified using the API Gateway latency metrics in Amazon CloudWatch. To identify the cause, the team needs to collect relevant data without introducing additional latency.
Which actions should be taken to accomplish this? {Select TWO.)
- A. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request.
- B. Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch.
- C. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray.
- D. Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.
- E. Modify the on-premises application to send log information back to API Gateway with each request.
Answer: B,C
NEW QUESTION # 13
You have an asynchronous processing application using an Auto Scaling Group and an SQS Queue. The Auto Scaling Group scales according to the depth of the job queue. The completion velocity of the jobs has gone down, the Auto Scaling Group size has maxed out, but the inbound job velocity did not increase.
What is a possible issue?
- A. Someone changed the IAM Role Policy on the instances in the worker group and broke permissions to access the queue.
- B. The routing tables changed and none of the workers can process events anymore.
- C. The scaling metric is not functioning correctly.
- D. Some of the new jobs coming in are malformed and unprocessable.
Answer: D
Explanation:
The IAM Role must be fine, as if it were broken, NO jobs would be processed since the system would never be able to get any queue messages. The same reasoning applies to the routing table change. The scaling metric is fine, as instance count increased when the queue depth increased due to more messages entering than exiting. Thus, the only reasonable option is that some of the recent messages must be malformed and unprocessable.
https://github.com/andrew-templeton/cloudacademy/blob/fca920b45234bbe99cc0e8efb9c65134884dd48 9/questions/null
NEW QUESTION # 14
You need to grant a vendor access to your AWS account. They need to be able to read protected messages in a private S3 bucket at their leisure. They also use AWS. What is the best way to accomplish this?
- A. Create an 1AM User with API Access Keys. Grant the User permissions to access the bucket. Give the vendor the AWS Access Key ID and AWS Secret Access Key for the User.
- B. Create a cross-account I AM Role with permission to access the bucket, and grant permission to use the Role to the vendor AWS account.
D- Generate a signed S3 PUT URL and a signed S3 PUT URL, both with wildcard values and 2 year durations. Pass the URLs to the vendor. - C. Create an EC2 Instance Profile on your account. Grant the associated 1AM role full access to the bucket.
Start an EC2 instance with this Profile and give SSH access to the instance to the vendor.
Answer: B
Explanation:
Explanation
You can use AWS Identity and Access Management (I AM) roles and AWS Security Token Service (STS) to set up cross-account access between AWS accounts. When you assume an 1AM role in another AWS account to obtain cross-account access to services and resources in that account, AWS CloudTrail logs the cross-account activity For more information on Cross Account Access, please visit the below URL:
* https://aws.amazon.com/blogs/security/tag/cross-account-access/
NEW QUESTION # 15
A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the Development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met: *The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance. *The application must be able to scale to meet an unpredictable number of concurrent users during the trial. Which action will allow the team to quickly meet these objectives?
- A. Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user- data scripts to install the application and the MySQL database on each EC2 instance. Update the stack to deploy new application versions.
- B. Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production. Build the Node.js application using existing process and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type.
- C. Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.
- D. Configure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is configured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk "swap cname' to promote the test environment to production.
Answer: A
NEW QUESTION # 16
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