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[General] AWS-DevOps-Engineer-Professional Exam Dumps Pdf - AWS-DevOps-Engineer-Profession

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【General】 AWS-DevOps-Engineer-Professional Exam Dumps Pdf - AWS-DevOps-Engineer-Profession

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q96-Q101):NEW QUESTION # 96
Which of the following is NOT an advantage of Docker's content addressable storage model?
  • A. avoids content ID collisions
  • B. random UUIDs improve filesystem performance
  • C. guarantees data integrity after push, pull, load, and save operations
  • D. improved security
Answer: B
Explanation:
Docker 1.10 introduced a new content addressable storage model. This is a completely new way to address image and layer data on disk. Previously, image and layer data was referenced and stored using a randomly generated UUID. In the new model this is replaced by a secure content hash.
The new model improves security, provides a built-in way to avoid ID collisions, and guarantees data integrity after pull, push, load, and save operations. It also enables better sharing of layers by allowing many images to freely share their layers even if they didn't come from the same build.
Reference:
https://docs.docker.com/engine/u ... ontainers/#content- addressable-storage

NEW QUESTION # 97
Your company is using an Autoscaling Group to scale out and scale in instances. There is an expectation of a
peak in traffic every Monday at 8am. The traffic is then expected to come down before the weekend on Friday
5pm. How should you configure Autoscaling in this?
  • A. Createdynamic scaling policies to scale up on Monday and scale down on Friday
  • B. Create a scheduled policy to scale up on Fridayand scale down on Monday
  • C. CreateascheduledpolicytoscaleuponMondayandscaledownonFriday
  • D. Manuallyadd instances to the Autoscaling Group on Monday and remove them on Friday
Answer: C
Explanation:
Explanation
The AWS Documentation mentions the following for Scheduled scaling
Scaling based on a schedule allows you to scale your application in response to predictable load changes. For
example, every week the traffic to your web application starts to increase on Wednesday, remains high on
Thursday, and starts to decrease on Friday. You can plan your scaling activities based on the predictable traffic
patterns of your web application.
For more information on scheduled scaling for Autoscaling, please visit the below URL
* http://docs.aws.amazon.com/autoscaling/latest/userguide/sched
ule_time.htm I

NEW QUESTION # 98
A web application for healthcare services runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier. How can the Engineer accomplish this task while ensuring availability and minimizing downtime?
  • A. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.
  • B. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to Amazon S3 for analysis.
  • C. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.
  • D. Terminate the EC2 instances manually. The Auto Scaling service will upload all log information to CloudWatch Logs for analysis prior to instance termination.
Answer: A

NEW QUESTION # 99
Your company has multiple applications running on AWS. Your company wants to develop a tool that notifies on-call teams immediately via email when an alarm is triggered in your environment. You have multiple on-call teams that work different shifts, and the tool should handle notifying the correct teams at the correct times. How should you implement this solution?
  • A. Create an Amazon SNS topic and configure your on-call team email addresses as subscribers. Use the AWS SDK tools to integrate your application with Amazon SNS and send messages to this new topic.
    Notifications will be sent to on-call users when a CloudWatch alarm is triggered.
  • B. Create an Amazon SNS topic and configure your on-call team email addresses as subscribers. Create a secondary Amazon SNS topic for alarms and configure your CloudWatch alarms to notify this topic when triggered. Create an HTTP subscriber to this topic that notifies your application via HTTP POST when an alarm is triggered. Use the AWS SDK tools to integrate your application with Amazon SNS and send messages to the first topic so that on-call engineers receive alerts.
  • C. Create an Amazon SNS topic and an Amazon SQS queue. Configure the Amazon SQS queue as a subscriber to the Amazon SNS topic.
    Configure CloudWatch alarms to notify this topic when an alarm is triggered. Create an Amazon EC2 Auto Scaling group with both minimum and desired Instances configured to 0. Worker nodes in this group spawn when messages are added to the queue. Workers then use Amazon Simple Email Service to send messages to your on call teams.
  • D. Create an Amazon SNS topic for each on-call group, and configure each of these with the team member emails as subscribers. Create another Amazon SNS topic and configure your CloudWatch alarms to notify this topic when triggered. Create an HTTP subscriber to this topic that notifies your application via HTTP POST when an alarm is triggered. Use the AWS SDK tools to integrate your application with Amazon SNS and send messages to the correct team topic when on shift.
Answer: D
Explanation:
Explanation
Option D fulfils all the requirements
1) First is to create a SNS topic for each group so that the required members get the email addresses.
2) Ensure the application uses the HTTPS endpoint and the SDK to publish messages Option A is invalid because the SQS service is not required.
Option B and C are incorrect. As per the requirement we need to provide notification to only those on-call teams who are working in that particular shift when an alarm is triggered. It need not have to be send to all the on-call teams of the company. With Option B & C, since we are not configuring the SNS topic for each on call team the notifications will be send to all the on-call teams. Hence these 2 options are invalid. For more information on setting up notifications, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/Amazo ... ng/US_SetupSNS.html

NEW QUESTION # 100
A healthcare company has a critical application running in AWS. Recently, the company experienced some down time. if it happens again, the company needs to be able to recover its application in another AWS Region. The application uses Elastic Load Balancing and Amazon EC2 instances. The company also maintains a custom AMI that contains its application. This AMI is changed frequently. The workload is required to run in the primary region, unless there is a regional service disruption, in which case traffic should fail over to the new region. Additionally, the cost for the second region needs to be low.
The RTO is 2 hours.
Which solution allows the company to fail over to another region in the event of a failure, and also meet the above requirements?
  • A. Maintain a copy of the AMI from the main region in the backup region. Create an Auto Scaling group with one instance using a launch configuration that contains the copied AMI. Use an Amazon Route 53 record to direct traffic to the load balancer in the backup region in the event of failure, as required.
    Allow the Auto Scaling group to scale out as needed during a failure.
  • B. Automate the copying of the AMI to the backup region. Create an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Set the Auto Scaling group maximum size to 0 and only increase it with the Lambda function during a failure.
    Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.
  • C. Place the AMI in a replicated Amazon S3 bucket. Generate an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Have one instance in this Auto Scaling group ready to accept traffic. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.
  • D. Automate the copying of the AMI in the main region to the backup region. Generate an AWS Lambda function that will create an EC2 instance from the AMI and place it behind a load balancer. Using the same Lambda function, point the Amazon Route 53 record to the load balancer in the backup region.
    Trigger the Lambda function in the event of a failure.
Answer: B
Explanation:
B is not the best answer. It will create an instance in the backup region which will have cost. We should keep the cost low by not starting up the instance unless failover.

NEW QUESTION # 101
......
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