100% Pass 2025 DOP-C01: AWS Certified DevOps Engineer - Professional–Efficient New Exam Experience
100% Pass 2025 DOP-C01: AWS Certified DevOps Engineer - Professional–Efficient New Exam Experience
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In today's competitive IT industry, passing Amazon certification DOP-C01 exam has a lot of benefits. Gaining Amazon DOP-C01 certification can increase your salary. People who have got Amazon DOP-C01 certification often have much higher salary than counterparts who don't have the certificate. But Amazon Certification DOP-C01 Exam is not very easy, so TorrentVCE is a website that can help you grow your salary.
The AWS DevOps Engineer certification exam covers a wide range of topics, including continuous integration and delivery (CI/CD), infrastructure as code (IaC), monitoring and logging, security and compliance, and automation and optimization. Candidates are tested on their ability to design and implement scalable and efficient DevOps solutions using AWS services and tools.
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A person's career prospects are often linked to his abilities, so an international and authoritative certificate is the best proof of one's ability. The DOP-C01 exam certification is a proof of your IT ability. To pass this exam also needs a lot of preparation. The DOP-C01 Exam Materials provided by TorrentVCE are collected and sorted out by experienced team. Now you can have these precious materials. You can safely buy a full set of DOP-C01 exam software in our official website.
Another important area covered in the Amazon DOP-C01 Certification Exam is the ability to design and implement monitoring and logging solutions that provide real-time insights into the performance and health of applications and infrastructure resources. Candidates must have a strong understanding of AWS CloudWatch and other AWS monitoring tools, as well as the ability to use log aggregation tools such as AWS CloudTrail and AWS ElasticSearch to collect and analyze log data.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q238-Q243):
NEW QUESTION # 238
An education company has a Docker-based application running on multiple Amazon EC2 instances in an Amazon ECS cluster. When deploying a new version of the application, the Developer, pushes a new image to a private Docker container registry, and then stops and starts all tasks to ensure that they all have the latest version of the application. The Developer discovers that the new tasks are, occasionally running with an old image.
How can this issue be prevented?
- A. Use "latest" for the Docker image tag in the task definition.
- B. Use Amazon ECR for a Docker container registry.
- C. Update the digest on the task definition when pushing the new image.
- D. After pushing the new image, restart ECS Agent, and then start the tasks.
Answer: C
Explanation:
https://docs.aws.amazon.com/en_us/AmazonECS/latest/developerguide/task_definition_paramet ers.html When a new task starts, the Amazon ECS container agent pulls the latest version of the specified image and tag for the container to use. However, subsequent updates to a repository image are not propagated to already running tasks.
NEW QUESTION # 239
A company used AWS CloudFormation to deploy a three-tier web application that stores data in an Amazon RDS MySOL Multi-AZ DB instance. A DevOps Engineer must upgrade the RDS instance to the latest major version of MySQL while incurring minimal downtime.
How should the Engineer upgrade the instance while minimizing downtime?
- A. Update the DBEngineVersion property of the AWS::RDS::DBInstance resource type in the CloudFormation template to the latest desired version. Create a new RDS Read Replicas resource with the same properties as the instance to be upgraded. Perform an Update Stack operation.
- B. Update the EngineVersion property of the AWS::RDS::DBInstance resource type in the CloudFormation template to the latest version, and perform an operation. Update Stack
- C. Update the EngineVersion property of the AWS::RDS::DBInstance resource type in the CloudFormation template to the latest desired version. Launch a second stack and make the new RDS instance a read replica.
- D. Update the DBEngineVersion property of the AWS:: RDS::DBInstance resource type in the CloudFormation template to the latest desired version. Perform an Update Stack operation. Create a new RDS Read Replicas resource with the same properties as the instance to be upgraded. Perform a second Update Stack operation.
Answer: C
NEW QUESTION # 240
A DevOps Engineer needs to deploy a scalable three-tier Node.js application in AWS. The application must have zero downtime during deployments and be able to roll back to previous versions. Other applications will also connect to the same MySQL backend database. The CIO has provided the following guidance for logging:
- Centrally view all current web access server logs.
- Search and filter web and application logs in near-real time.
- Retain log data for three months.
How should these requirements be met?
- A. Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to store log files in Amazon S3. Use Amazon EMR to search and filter the data. Set an Amazon S3 lifecycle rule to expire objects after 90 days.
- B. Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to load streaming log data using Amazon Kinesis Data Firehouse into Amazon ES. Delete and create a new Amazon ES domain every 90 days.
- C. Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create the Amazon RDS MySQL instance outside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.
- D. Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create an Amazon RDS MySQL instance inside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.
Answer: C
Explanation:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.logging.html The Amazon EC2 instances in your Elastic Beanstalk environment generate logs that you can view to troubleshoot issues with your application or configuration files. Logs created by the web server, application server, Elastic Beanstalk platform scripts, and AWS CloudFormation are stored locally on individual instances. You can easily retrieve them by using the environment management console or the EB CLI. You can also configure your environment to stream logs to Amazon CloudWatch Logs in real-time.
NEW QUESTION # 241
You have deployed an application to AWS which makes use of Autoscaling to launch new instances. You now want to change the instance type for the new instances. Which of the following is one of the action items to achieve this deployment?
- A. Create a new launch configuration with the new instance type
- B. Use Cloudformation to deploy the new application with the new instance type
- C. Use Elastic Beanstalk to deploy the new application with the new instance type
- D. Create new EC2 instances with the new instance type and attach it to the Autoscaling Group
Answer: A
Explanation:
Explanation
The ideal way is to create a new launch configuration, attach it to the existing Auto Scaling group, and terminate the running instances.
Option A is invalid because Clastic beanstalk cannot launch new instances on demand. Since the current scenario requires Autoscaling, this is not the ideal option Option B is invalid because this will be a maintenance overhead, since you just have an Autoscaling Group.
There is no need to create a whole Cloudformation
template for this.
Option D is invalid because Autoscaling Group will still launch CC2 instances with the older launch configuration For more information on Autoscaling Launch configuration, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/l_aunchConfiguration.html
NEW QUESTION # 242
For AWS Auto Scaling, what is the first transition state an existing instance enters after leaving Standby state?
- A. Pending
- B. Detaching
- C. Terminating:Wait
- D. EnteringStandby
Answer: A
Explanation:
Explanation
The below diagram shows the Lifecycle policy. When the stand-by state is exited, the next state is pending.
For more information on Autoscaling Lifecycle, please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/AutoScaingGroupLifecycle.html
NEW QUESTION # 243
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