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The AWS Certified DevOps Engineer - Professional Certification Exam is intended for experienced DevOps professionals who have a deep understanding of AWS services and can design, manage, and operate applications on AWS. AWS-DevOps exam requires candidates to demonstrate their ability to design and manage scalable, fault-tolerant, and highly available systems on AWS. It also requires a comprehensive understanding of automation and continuous delivery processes, as well as the ability to implement and manage them using AWS services.
The AWS Certified DevOps Engineer - Professional certification is designed for IT professionals who are responsible for implementing and managing DevOps practices and processes in their organizations. This includes individuals who are responsible for designing and deploying AWS applications, as well as those who are responsible for managing and maintaining these applications over time. By earning this certification, IT professionals can demonstrate their expertise in these areas, and can position themselves as leaders in the DevOps field.
The AWS Certified DevOps Engineer - Professional certification exam covers a wide range of topics related to DevOps and AWS. Some of the topics covered in the exam include continuous delivery and deployment, monitoring and logging, security and compliance, infrastructure as code, and automation. AWS-DevOps Exam is designed to test an individual's ability to design and implement DevOps practices using AWS services.
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NEW QUESTION # 262
You have an application running on Amazon EC2 in an Auto Scaling group. Instances are being bootstrapped dynamically, and the bootstrapping takes over 15 minutes to complete. You find that instances are reported by Auto Scaling as being In Service before bootstrapping has completed. You are receiving application alarms related to new instances before they have completed bootstrapping, which is causing confusion. You find the cause: your application monitoring tool is polling the Auto Scaling Service API for instances that are In Service, and creating alarms for new previously unknown instances. Which of the following will ensure that new instances are not added to your application monitoring tool before bootstrapping is completed?
Answer: D
Explanation:
Explanation
Auto Scaling lifecycle hooks enable you to perform custom actions as Auto Scaling launches or terminates instances. For example, you could install or configure software on newly launched instances, or download log files from an instance before it terminates.
After you add lifecycle hooks to your Auto Scaling group, they work as follows:
1. Auto Scaling responds to scale out events by launching instances and scale in events by terminating instances.
2. Auto Scaling puts the instance into a wait state (Pending:Wait orTerminating:Wait). The instance remains in this state until either you tell Auto Scaling to continue or the timeout period ends.
For more information on rolling updates, please visit the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/lifecycle-hooks.htmI
NEW QUESTION # 263
An e-commerce company is running a web application in an AWS Elastic Beanstalk environment.
In recent months, the average load of the Amazon EC2 instances has been increased to handle more traffic. The company would like to improve the scalability and resilience of the environment.
The Development team has been asked to decouple long-running tasks from the environment if the tasks can be executed asynchronously. Examples of these tasks include confirmation emails when users are registered to the platform, and processing images or videos. Also, some of the periodic tasks that are currently running within the web server should be offloaded.
What is the most time-efficient and integrated way to achieve this?
Answer: D
NEW QUESTION # 264
A DevOps Engineer discovered a sudden spike in a website's page load times and found that a recent deployment occurred. A brief diff of the related commit shows that the URL for an external API call was altered and the connecting port changed from 80 to 443. The external API has been verified and works outside the application. The application logs show that the connection is now timing out, resulting in multiple retries and eventual failure of the call. Which debug steps should the Engineer take to determine the root cause of the issue?
Answer: A
NEW QUESTION # 265
When building a Docker image, you are searching through a persistent data volume's logs to provide parameters for the next build. You execute the following command. Which of the operations will cause a failure of the Docker RUNcommand? RUN cat ./data/log/*.error | grep service_status | grep ERROR
Answer: B
Explanation:
Some RUN commands depend on the ability to pipe the output of one command into another, using the pipe character (|), as in the following example:
RUN wget -O - https://some.site | wc -l > /number
Docker executes these commands using the /bin/sh -c interpreter, which only evaluates the exit code of the last operation in the pipe to determine success. In the example above this build step succeeds and produces a new image so long as the wc -lcommand succeeds, even if the wget command fails.
Reference:
https://docs.docker.com/engine/userguide/eng-image/dockerfile_best-practices/#run
NEW QUESTION # 266
Which of the following design strategies is ideal when designing loosely coupled systems. Choose 2 answers
from the options given below
Answer: A,B
Explanation:
Explanation
The below diagram shows the ideal design which uses SQS and separate environments for web and worker
processes. The SQS queue manages the communication
between the web and worker roles.
One example is the way Elastic beanstalk manages worker environments. For more information on this, please
visit the below URL:
http://docs.aws.a
mazon.com/elasticbeanstalk/latest/dg/using-features-managing-env-tiers.htm I
NEW QUESTION # 267
......
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