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The AWS Certified DevOps Engineer - Professional (DOP-C02) web-based practice test works on all major browsers such as Safari, Chrome, MS Edge, Opera, IE, and Firefox. Users do not have to install any excessive software because this AWS Certified DevOps Engineer - Professional (DOP-C02) practice test is web-based. It can be accessed through any operating system like Windows, Linux, iOS, Android, or Mac. Another format of the practice test is the desktop software. It works offline only on Windows. Our AWS Certified DevOps Engineer - Professional (DOP-C02) desktop-based practice exam software comes with all specifications of the web-based version.
Amazon DOP-C02 Exam measures a candidate's ability to design and manage highly available and scalable systems on AWS. It covers a wide range of topics, including continuous integration and delivery (CI/CD) pipelines, monitoring and logging, security and compliance, infrastructure as code (IaC), and automation tools.
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The AWS Certified DevOps Engineer - Professional certification exam is delivered online and consists of multiple-choice and multiple-response questions. Candidates have 170 minutes to complete the exam, and the passing score is 750 out of 1000 points. DOP-C02 Exam Fee is $300 USD, and candidates can register for the exam through the AWS website. AWS also offers a range of study materials and resources to help candidates prepare for the exam, including practice exams, training courses, and whitepapers.
NEW QUESTION # 282
A company has a web application that runs on AWS. The web tier uses an Amazon Elastic Container Service (Amazon ECS) deployment with the Fargate launch type behind an Application Load Balancer (ALB) and Amazon Route 53. The application uses an Amazon Keyspaces (for Apache Cassandra) database. The company stores container images in Amazon Elastic Container Registry (Amazon ECR). New image versions are pushed regularly.
The company needs to implement a multi-Region recovery strategy with automatic failover to a secondary Region.
Which solution will meet these requirements?
Answer: C
Explanation:
For automatic failover to a secondary Region, several conditions must be met. Amazon Keyspaces multi- Region replication provides continuous, near-real-time data replication across Regions, ensuring data is available in the secondary Region without manual intervention, unlike point-in-time recovery. ECR private image replication automatically keeps container images synchronized to the secondary Region registry.
Setting the Fargate service desired count to 1 in the secondary Region creates a warm standby that can immediately accept traffic during failover, unlike desired count of 0 which would require scale-up time. Route
53 failover routing policy combined with ALB health checks automatically redirects DNS traffic to the secondary Region when the primary becomes unhealthy. A weighted routing policy does not support automatic failover behavior. Option C uses a manual image copy rather than automated replication, making it unsuitable for continuous DR.
NEW QUESTION # 283
A company needs a strategy for failover and disaster recovery of its data and application. The application uses a MySQL database and Amazon EC2 instances. The company requires a maximum RPO of 2 hours and a maximum RTO of 10 minutes for its data and application at all times.
Which combination of deployment strategies will meet these requirements? (Select TWO.)
Answer: A,B
Explanation:
Verified answer: B and E
Short To meet the requirements of failover and disaster recovery, the company should use the following deployment strategies:
Create an Amazon Aurora global database in two AWS Regions as the data store. In the event of a failure, promote the secondary Region to the primary for the application. Update the application to use the Aurora cluster endpoint in the secondary Region. This strategy can provide a low RPO and RTO for the data, as Aurora global database replicates data with minimal latency across Regions and allows fast and easy failover12. The company can use the Amazon Aurora cluster endpoint to connect to the current primary DB cluster without needing to change any application code1.
Set up the application in two AWS Regions. Configure AWS Global Accelerator to point to Application Load Balancers (ALBs) in both Regions. Add both ALBs to a single endpoint group. Use health checks and Auto Scaling groups in each Region. This strategy can provide high availability and performance for the application, as AWS Global Accelerator uses the AWS global network to route traffic to the closest healthy endpoint3. The company can also use static IP addresses that are assigned by Global Accelerator as a fixed entry point for their application1. By using health checks and Auto Scaling groups, the company can ensure that their application can scale up or down based on demand and handle any instance failures4.
The other options are incorrect because:
Creating an Amazon Aurora Single-AZ cluster in multiple AWS Regions as the data store would not provide a fast failover or disaster recovery solution, as the company would need to manually restore data from backups or snapshots in another Region in case of a failure.
Creating an Amazon Aurora cluster in multiple AWS Regions as the data store and using a Network Load Balancer to balance the database traffic in different Regions would not work, as Network Load Balancers do not support cross-Region routing. Moreover, this strategy would not provide a consistent view of the data across Regions, as Aurora clusters do not replicate data automatically between Regions unless they are part of a global database.
Setting up the application in two AWS Regions and using Amazon Route 53 failover routing that points to Application Load Balancers in both Regions would not provide a low RTO, as Route 53 failover routing relies on DNS resolution, which can take time to propagate changes across different DNS servers and clients. Moreover, this strategy would not provide deterministic routing, as Route 53 failover routing depends on DNS caching behavior, which can vary depending on different factors.
NEW QUESTION # 284
A security team is concerned that a developer can unintentionally attach an Elastic IP address to an Amazon EC2 instance in production. No developer should be allowed to attach an Elastic IP address to an instance. The security team must be notified if any production server has an Elastic IP address at any time How can this task be automated'?
Answer: A
Explanation:
Explanation
To prevent developers from unintentionally attaching an Elastic IP address to an Amazon EC2 instance in production, the best approach is to use IAM policies and AWS Config rules. By attaching an IAM policy that denies the associate-address permission to the developers' IAM group, you ensure that developers cannot perform this action. Additionally, creating a custom AWS Config rule to check for Elastic IP addresses associated with instances tagged as production provides ongoing monitoring. If the rule detects an Elastic IP address, it can trigger an alert to notify the security team. This method is proactive and enforces the necessary permissions while also providing a mechanism for detection and notification. References: from Amazon DevOps sources
NEW QUESTION # 285
A DevOps engineer is planning to deploy a Ruby-based application to production. The application needs to interact with an Amazon RDS for MySQL database and should have automatic scaling and high availability.
The stored data in the database is critical and should persist regardless of the state of the application stack.
The DevOps engineer needs to set up an automated deployment strategy for the application with automatic rollbacks. The solution also must alert the application team when a deployment fails.
Which combination of steps will meet these requirements? (Select THREE.)
Answer: B,C,F
Explanation:
For deploying a Ruby-based application with requirements for interaction with an Amazon RDS for MySQL database, automatic scaling, high availability, and data persistence, the following steps will meet the requirements:
B). Deploy the application on AWS Elastic Beanstalk. Deploy a separate Amazon RDS for MySQL DB instance outside of Elastic Beanstalk. This approach ensures that the database persists independently of the Elastic Beanstalk environment, which can be torn down and recreated without affecting the database123.
E). Use the immutable deployment method to deploy new application versions. Immutable deployments provide a zero-downtime deployment method that ensures that if any part of the deployment process fails, the environment is rolled back to the original state automatically4.
D). Configure an Amazon EventBridge rule to monitor AWS Health events. Use an Amazon Simple Notification Service (Amazon SNS) topic as a target to alert the application team. This setup allows for automated monitoring and alerting of the application team in case of deployment failures or other health events56.
AWS Elastic Beanstalk documentation on deploying Ruby applications1.
AWS documentation on application auto-scaling7.
AWS documentation on automated deployment strategies with automatic rollbacks and alerts456.
NEW QUESTION # 286
A company runs an application on Amazon EKS. The company needs comprehensive logging for control plane and nodes, analyze API requests, and monitor container performance with minimal operational overhead.
Which solution meets these requirements?
Answer: A
Explanation:
* EKS supportscontrol plane loggingsent directly to CloudWatch Logs.
* CloudWatch Container Insightsprovides metrics and logs collection for nodes and containers automatically with minimal setup.
* CloudWatch Logs Insights offers powerful querying and visualization integrated in AWS without managing additional infrastructure.
* Options A and C require deploying and managing additional components (Logstash, Event Exporter, S3, Athena).
* Option D adds complexity with OpenTelemetry and Redshift, which is more operationally heavy.
References:
Amazon EKS Control Plane Logging
CloudWatch Container Insights for EKS
NEW QUESTION # 287
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