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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q262-Q267):

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?

  • A. Tag all instances on launch to identify that they are in a pending state. Change your application monitoring tool to look for this tag before adding new instances, and the use the Amazon API to set the instance state to 'pending' until bootstrapping is complete.
  • B. Use the default Amazon Cloud Watch application metrics to monitor your application's health.
    Configure an Amazon SNS topic to send these Cloud Watch alarms to the correct recipients.
  • C. Increase the desired number of instances in your Auto Scaling group configuration to reduce the time it takes to bootstrap future instances.
  • D. Create an Auto Scaling group lifecycle hook to hold the instance in a pending: wait state until your bootstrapping is complete. Once bootstrapping is complete, notify Auto Scaling to complete the lifecycle hook and move the instance into a pending:proceed state.

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?

  • A. Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group. Install and configure the application to listen for messages within the SQS queue from UserData and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk web server environment with a value pointing to the SQS queue endpoint.
  • B. Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group. Use an AMI that contains the application to process the asynchronous tasks, configure the application to listen for messages within the SQS queue, and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk environment with a value pointing to the SQS queue endpoint.
  • C. Create a second Elastic Beanstalk web server tier environment and deploy the application to process the asynchronous tasks. Send the tasks that should be decoupled from the original Elastic Beanstalk web server to the auto-generated Amazon SQS queue by the Elastic Beanstalk web server tier environment. Place a cron.yaml file within the root of the application source bundle for the second web server tier environment with the necessary periodic tasks. Use environment links to link both web server environments.
  • D. Create a second Elastic Beanstalk worker tier environment and deploy the application to process the asynchronous tasks there. Send the tasks that should be decoupled from the original Elastic Beanstalk web server environment to the auto-generated Amazon SQS queue by the Elastic Beanstalk worker environment. Place a cron.yaml file within the root of the application source bundle for the worker environment periodic tasks. Use environment links to link the web server environment with the worker environment.

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?

  • A. Check the egress security group rules and network ACLs for the VPC. Also check the VPC flow logs looking for accepts originating from the web Auto Scaling group.
  • B. Check the VPC Flow Logs looking for denies originating from Amazon EC2 instances that are part of the web Auto Scaling group. Check the ingress security group rules and routing rules for the VPC.
  • C. Check the existing egress security group rules and network ACLs for the VPC. Also check the application logs being written to Amazon CloudWatch Logs for debug information.
  • D. Check the application logs being written to Amazon CloudWatch Logs for debug information. Check the ingress security group rules and routing rules for the VPC.

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

  • A. any one of them
  • B. the second grep command
  • C. the cat command
  • D. the first grep command

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

  • A. Having the web and worker roles running on separate EC2 Instances
  • B. Using SQS to establish communication between the web and worker roles
  • C. Having the web and worker roles running on the same set of EC2 Instances
  • D. Using SNS to establish communication between the web and worker roles

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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