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The AWS Certified DevOps Engineer - Professional certification is highly valued in the industry, and achieving this certification can open up many career opportunities for professionals. AWS Certified DevOps Engineer - Professional certification demonstrates to potential employers that an individual has the advanced technical skills and knowledge required to design and implement DevOps practices using AWS services. Additionally, this certification can also lead to higher salaries and promotions within an organization.
The AWS DevOps certification is beneficial for individuals who are looking to advance their careers in DevOps and cloud computing. It is also useful for organizations that are looking to implement DevOps practices on the AWS platform. AWS Certified DevOps Engineer - Professional certification proves that the individual has the necessary skills and knowledge to design and implement scalable and reliable DevOps solutions on AWS. The AWS DevOps certification is a valuable asset in today's job market, as it is recognized worldwide as a standard for DevOps expertise on the AWS platform.
Amazon AWS-DevOps (AWS Certified DevOps Engineer - Professional (DOP-C01)) Certification Exam is a professional-level certification designed for IT professionals who have experience with DevOps practices and automation. AWS Certified DevOps Engineer - Professional certification validates the skills and knowledge needed to implement and manage continuous delivery systems and methodologies on AWS cloud platforms. DOP-C01 Exam Tests the ability to design, deploy, and manage distributed systems and applications on AWS, and also covers topics such as security, compliance, and automation.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q154-Q159):
NEW QUESTION # 154
UESTION NO: 129
A DevOps Engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web logs. The Engineer manages the Kinesis consumer application, which also runs on EC2. Spikes of data cause the Kinesis consumer application to fall behind, and the streams drop records before they can be processed.
What is the FASTEST method to improve stream handling?
- A. Convert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis Data Streams as the event source for the Lambda function to process the data streams.
- B. Modify the Kinesis consumer application to store the logs durably in amazon S3. Use Amazon EMR to process the data directly on S3 to derive customer insights and store the results in S3.
- C. Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the GetRecord.IteratorAgeMiliseconds Amazon CloudWatch metric. Increase the Kinesis Data Streams retention period.
- D. Increase the number of shards in the Kinesis Data Streams to increase the overall throughput so that the consumer processes data faster.
Answer: C
NEW QUESTION # 155
There is a very serious outage at AWS. EC2 is not affected, but your EC2 instance deployment scripts stopped working in the region with the outage. What might be the issue?
- A. The AWS Console is down, so your CLI commands do not work.
- B. S3 is unavailable, so you can't create EBS volumes from a snapshot you use to deploy new volumes.
- C. AWS turns off the DeployCode API call when there are major outages, to protect from system floods.
- D. None of the other answers make sense. If EC2 is not affected, it must be some other issue.
Answer: B
Explanation:
Explanation
The CBS Snapshots are stored in S3, so if you have an scripts which deploy CC2 Instances, the CBS volumes need to be constructed from snapshots stored in S3.
You can back up the data on your Amazon CBS volumes to Amazon S3 by taking point-in-time snapshots.
Snapshots are incremental backups, which means that only
the blocks on the device that have changed after your most recent snapshot are saved. This minimizes the time required to create the snapshot and saves on storage costs by not duplicating data. When you delete a snapshot, only the data unique to that snapshot is removed. Cach snapshot contains all of the information needed to restore your data (from the moment when the snapshot was taken) to a new CBS volume.
For more information on CBS Snapshots, please visit the below URL:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/CBSSnapshots.htmI
NEW QUESTION # 156
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application clue to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS Cloud Formation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 because of the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, although memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?
- A. Sign into the AWS Management Console, copy the old launch configuration, and create a new launch configuration that specifies the C3 instances. Update the Auto Scalinggroup with the new launch configuration. Auto Scaling will then update the instance type of all running instances.
- B. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies AutoScalingRollingUpdate. Run a stack update with the new template.
- C. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Run a stack update with the new template. Auto Scaling will then update the instances with the new instance type.
- D. Sign into the AWS Management Console, and update the existing launch configuration with the new C3 instance type. Add an UpdatePolicy attribute to your Auto Scaling group that specifies AutoScalingRollingUpdate.
Answer: B
Explanation:
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePoIicy attribute. This is used to define how an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified. For more information on rolling updates, please visit the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/
NEW QUESTION # 157
A company is migrating an application to AWS that runs on a single Amazon EC2 instance. Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost-effective manner?
- A. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.
- B. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
- C. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.
- D. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
Answer: B
Explanation:
Explanation/Reference:
NEW QUESTION # 158
A company using AWS CodeCommit for source control wants to automate its continuous integration and continuous deployment pipeline on AWS in its development environment. The company has three requirements:
1. There must be a legal and a security review of any code change to make sure sensitive information is not leaked through the source code.
2. Every change must go through unit testing.
3. Every change must go through a suite of functional testing to ensure functionality.
In addition, the company has the following requirements for automation:
1. Code changes should automatically trigger the CI/CD pipellline.
2. Any failure in the pipeline should notify devops-admin@xyz.com.
3. There must be an approval to stage the assets to Amazon S3 after tests have been performed.
What should a DevOps Engineer do to meet all of these requirements while following CI/CD best practices?
- A. Commit to mainline and trigger AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SES for emailing devops- admin@xyz.com.
- B. Commit to the development branch and trigger AWS CodePipeline from the development branch.
Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SNS for emailing devops-admin@xyz.com. - C. Commit to the development branch and trigger AWS CodePipeline from the development branch.
Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch metrics to detect changes in pipeline stages and Amazon SES for emailing devops-admin@xyz.com. - D. Commit to mainline and trigger AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use AWS CloudTrail logs to detect changes in pipeline stages and Amazon SNS for emailing devops- admin@xyz.com.
Answer: B
NEW QUESTION # 159
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