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Pass Guaranteed Quiz 2025 Amazon Unparalleled AWS-DevOps: Best AWS Certified DevOps Engineer - Professional Preparation Materials
Individuals who hold Amazon AWS-DevOps certification exam demonstrate to their employers and clients that they have the knowledge and skills necessary to succeed in the AWS-DevOps exam. ExamcollectionPass AWS-DevOps Questions have numerous benefits, including the ability to demonstrate to employers and clients that you have the necessary knowledge and skills to succeed in the actual AWS Certified DevOps Engineer - Professional (AWS-DevOps) exam.
The AWS Certified DevOps Engineer - Professional (DOP-C01) certification exam is designed for individuals who have in-depth knowledge of AWS services and experience in implementing and managing continuous delivery systems and methodologies. AWS Certified DevOps Engineer - Professional certification exam is intended for professionals who are responsible for designing, managing, and maintaining AWS-based applications and infrastructures.
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One of the key areas covered in the Amazon DOP-C01 certification exam is the ability to design and implement automated, continuous delivery pipelines. This involves the use of AWS tools such as AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to build, test, and deploy applications in a seamless and efficient manner. Candidates for this certification must also have a solid understanding of infrastructure as code and be able to use tools such as AWS CloudFormation to automate the deployment of infrastructure resources.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q299-Q304):
NEW QUESTION # 299
You have a web application running on six Amazon EC2 instances, consuming about 45% of resources on each instance. You are using auto-scaling to make sure that six instances are running at all times. The number of requests this application processes is consistent and does not experience spikes. The application is critical to your business and you want high availability at all times. You want the load to be distributed evenly between all instances. You also want to use the same Amazon Machine Image (AMI) for all instances. Which of the following architectural choices should you make?
- A. Deploy3 EC2 instances in one region and 3 in another region and use Amazon ElasticLoad Balancer.
- B. Deploy3 EC2 instances in one availability zone and 3 in another availability zone anduse Amazon Elastic Load Balancer.
- C. Deploy6 EC2 instances in one availability zone and use Amazon Elastic Load Balancer.
- D. Deploy2 EC2 instances in three regions and use Amazon Elastic Load Balancer.
Answer: B
Explanation:
Explanation
Option A is automatically incorrect because remember that the question asks for high availability. For option A, if the A2 goes down then the entire application fails.
For Option B and D, the CLB is designed to only run in one region in aws and not across multiple regions. So these options are wrong.
The right option is C.
The below example shows an Elastic Loadbalancer connected to 2 EC2 instances connected via Auto Scaling.
This is an example of an elastic and scalable web tier.
By scalable we mean that the Auto scaling process will increase or decrease the number of CC2 instances as required.
For more information on best practices for AWS Cloud applications, please visit the below URL:
* https://d03wsstatic.com/whitepapers/AWS_Cloud_Best_Practices.pdf
NEW QUESTION # 300
A company is using AWS CodeDeploy to automate software deployment. The deployment must meet these requirements:
- A number of instances must be available to serve traffic during the
deployment. Traffic must be balanced across those instances, and the
instances must automatically heal in the event of failure.
- A new fleet of instances must be launched for deploying a new
revision automatically, with no manual provisioning.
- Traffic must be rerouted to the new environment to half of the new
instances at a time. The deployment should succeed if traffic is
rerouted to at least half of the instances; otherwise, it should fail.
- Before routing traffic to the new fleet of instances, the temporary
files generated during the deployment process must be deleted.
- At the end of a successful deployment, the original instances in the
deployment group must be deleted immediately to reduce costs.
How can a DevOps Engineer meet these requirements?
- A. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically option, and use CodeDeployDefault HalfAtAtime as the deployment copy Auto Scaling group configuration. Instruct AWS CodeDeploy to terminate the original isntances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files.
- B. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy option, and use CodeDeployDefault AllatOnce as a deployment configuration.
Auto Scaling group
Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appsec.yml to delete the temporary files. - C. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically option, create a custom deployment configuration with minimum copy Auto Scaling group healthy hosts defined as 50%, and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeBlock Traffic hook within appsec.yml to delete the temporary files.
- D. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the AllowTraffic hook within appspec.yml to delete the temporary files.
Answer: D
NEW QUESTION # 301
A user is accessing RDS from an application. The user has enabled the Multi AZ feature with the MS SQL RDS DB. During a planned outage how will AWS ensure that a switch from DB to a standby replica will not affect access to the application?
- A. RDS uses DNS to switch over to stand by replica for seamless transition
- B. RDS will have both the DBs running independently and the user has to manually switch over
- C. RDS will have an internal IP which will redirect all requests to the new DB
- D. The switch over changes Hardware so RDS does not need to worry about access
Answer: A
Explanation:
Explanation
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable.
In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete.
And as per the AWS documentation, the cname is changed to the standby DB when the primary one fails.
Q: What happens during Multi-AZ failover and how long does it take?
"Failover is automatically handled by Amazon RDS so that you can resume database operations as quickly as possible without administrative intervention. When failing over, Amazon RDS simply flips the canonical name record (CNAMC) for your DB instance to point at the standby, which is in turn promoted to become the new primary. We encourage you to follow best practices and implement database connection retry at the application layer".
* https://aws.amazon.com/rds/faqs/
Based on this, RDS Multi-AZ will use DNS to create the CNAM C and hence B is the right option. For more information on RDS Multi-AZ please visit the link:
* http://docs.aws.a
mazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html
NEW QUESTION # 302
You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging
any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is
going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very
hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your
CTO?
- A. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as
they come in and flag issues. - B. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to
perform at-scale stream processing queries on the log chunks and flag issues. - C. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR
clusterjobs to perform adhoc MapReduce analysis and write new queries when needed. - D. Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elastic search
Service Domain running Kibana 4 and perform log analysis on a search cluster.
Answer: D
Explanation:
Explanation
Amazon Dasticsearch Service makes it easy to deploy, operate, and scale dasticsearch for log analytics, full
text search, application monitoring, and more. Amazon
Oasticsearch Service is a fully managed service that delivers Dasticsearch's easy-to-use APIs and real-time
capabilities along with the availability, scalability, and
security required by production workloads. The service offers built-in integrations with Kibana, Logstash, and
AWS services including Amazon Kinesis Firehose, AWS
Lambda, and Amazon Cloud Watch so that you can go from raw data to actionable insights quickly.
For more information on Elastic Search, please refer to the below link:
* https://aws.amazon.com/elasticsearch-service/
NEW QUESTION # 303
A company has established tagging and configuration standards for its infrastructure resources running on AWS. A DevOps Engineer is developing a design that will provide a near-real-time dashboard of the compliance posture with the ability to highlight violations.
Which approach meets the stated requirements?
- A. Define the resource configurations in AWS Service Catalog, and monitor the AWS Service Catalog compliance and violations in Amazon CloudWatch. Then, set up and share a live CloudWatch dashboard. Set up Amazon SNS notifications for violations and corrections.
- B. Create a resource group that displays resources with the specified tags and those without tags. Use the AWS Management Console to view compliant and non-compliant resources.
- C. Define the compliance and tagging requirements in Amazon inspector. Output the results to Amazon CloudWatch Logs. Build a metric filter to isolate the monitored elements of interest and present the data in a CloudWatch dashboard.
- D. Use AWS Config to record configuration changes and output the data to an Amazon S3 bucket. Create an Amazon QuickSight analysis of the dataset, and use the information on dashboards and mobile devices.
Answer: D
NEW QUESTION # 304
......
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