Efficient Key AWS-DevOps-Engineer-Professional Concepts - Easy and Guaranteed AWS-DevOps-Engineer-Professional Exam Success
Efficient Key AWS-DevOps-Engineer-Professional Concepts - Easy and Guaranteed AWS-DevOps-Engineer-Professional Exam Success
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q494-Q499):
NEW QUESTION # 494
Which of the following tools from AWS allows the automatic collection of software inventory from EC2
instances and helps apply OS patches.
- A. EC2Systems Manager
- B. AWSCode Pipeline
- C. EC2AMI's
- D. AWSCode Deploy
Answer: A
Explanation:
Explanation
The Amazon CC2 Systems Manager helps you automatically collect software inventory, apply OS patches,
create system images, and configure Windows and Linux operating systems. These capabilities enable
automated configuration and ongoing management of systems at scale, and help maintain software compliance
for instances running in Amazon L~C2 or on-premises.
One feature within Systems Manager is Automation, which can be used to patch, update agents, or bake
applications into an Amazon Machine Image (AMI). With
Automation, you can avoid the time and effort associated with manual image updates, and instead build AMIs
through a streamlined, repeatable, and auditable process.
For more information on EC2 Systems manager, please refer to the below link:
*
https://aws.amazon.com/blogs/aws/streamline-ami-maintenance-and-patching-using-amazon-ec2-systems-manag
NEW QUESTION # 495
A company has multiple development teams sharing one AWS account. The development team's manager wants to be able to automatically stop Amazon EC2 instances and receive notifications if resources are idle and not tagged as production resources.
Which solution will meet these requirements?
- A. Use a scheduled Amazon CloudWatch Events rule to filter AWS Systems Manager events and identify idle EC2 instances and resources. Use the CloudWatch Events rule to target an AWS Lambda function to stop non-production instances and send notifications.
- B. Use a scheduled Amazon CloudWatch Events rule to target Amazon Inspector events for idle EC2 instances. Use the CloudWatch Events rule to target the AWS Lambda function to stop non-production instances and send notifications.
- C. Use a scheduled Amazon CloudWatch Events rule to filter for Amazon EC2 instance status checks and identify idle EC2 instances. Use the CloudWatch Events rule to target an AWS Lambda function to stop non-production instances and send notifications.
- D. Use a scheduled Amazon CloudWatch Events rule to target a custom AWS Lambda function that runs AWS Trusted Advisor checks. Create a second CloudWatch Events rule to filter events from Trusted Advisor to trigger a Lambda function to stop idle non-production instances and send notifications.
Answer: D
NEW QUESTION # 496
You are responsible for your company's large multi-tiered Windows-based web application running on Amazon EC2 instances situated behind a load balancer. While reviewing metrics, you've started noticing an upwards trend for slow customer page load time. Your manager has asked you to come up with a solution to ensure that customer load time is not affected by too many requests per second. Which technique would you use to solve this issue?
- A. Re-deploy your infrastructure using AWS CloudFormation, Elastic Beanstalk, and Auto Scaling. Set up your Auto Scalinggroup policies to scale based on the number of requests per second as well as the current customer load time. *>/ D- Re-deploy your application using an Auto Scaling template. Configure the Auto Scaling template to spin up a new Elastic Beanstalk application when the customer load time surpasses your threshold.
- B. Re-deploy your infrastructure using an AWS CloudFormation template. Spin up a second AWS CloudFormation stack. Configure Elastic Load Balancing SpillOver functionality to spill over any slow connections to the second AWS CloudFormation stack.
- C. Re-deploy your infrastructure usingan AWS CloudFormation template. Configure Elastic Load Balancing health checks to initiate a new AWS CloudFormation stack when health checks return failed.
Answer: A
Explanation:
Explanation
Auto Scaling helps you ensure that you have the correct number of Amazon CC2 instances available to handle the load for your application. You create collections of CC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Auto Scaling ensures that your group never goes below this size. You can specify the maximum number of instances in each Auto Scaling group, and Auto Scaling ensures that yourgroup never goes above this size. If you specify the desired capacity, either when you create the group or at any time thereafter.
Auto Scaling ensures that yourgroup has this many
instances. If you specify scaling policies, then Auto Scaling can launch or terminate instances as demand on your application increases or decreases.
Option A and B are invalid because Autoscaling is required to solve the issue to ensure the application can handle high traffic loads.
Option D is invalid because there is no Autoscaling template.
For more information on Autoscaling, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/Whatl sAutoScaling.html
NEW QUESTION # 497
A company has EC2 instances running in AWS. The EC2 instances are running via an Autoscaling solution.
There is a lot of requests being lost because of the load on the servers. The Autoscaling solution is launching new instances to take the load but there are still some requests which are being lost. Which of the following is likely to provide the most cost-effective solution to avoid losing recently submitted requests? Choose the correct answer from the options given below
- A. Keepone extra EC2 instance always powered on in case a spike occurs
- B. UseanSQS queue to decouple the application components
- C. Pre -warmyour Elastic Load Balancer
- D. Uselarger instances for your application
Answer: B
Explanation:
Explanation
Amazon Simple Queue Service (SQS) is a fully-managed message queuing service for reliably communicating among distributed software components and microservices - at any scale. Building applications from individual components that each perform a discrete function improves scalability and reliability, and is best practice design for modern applications For more information on SQS, please refer to the below link:
* https://aws.amazon.com/sqs/
NEW QUESTION # 498
The project you are working on currently uses a single AWS CloudFormation template to deploy its AWS
infrastructure, which supports a multi-tier web application. You have been tasked with organizing the AWS
CloudFormation resources so that they can be maintained in the future, and so that different departments such
as Networking and Security can review the architecture before it goes to Production. How should you do this
in a way that accommodates each department, using their existing workflows?
- A. Organize the AWS CloudFormation template so that related resources are next to each other in the
template, such as VPC subnets and routing rules for Networkingand security groups and 1AM
information for Security. - B. Organize the AWS CloudFormation template so that related resources are next to each other in the
template for each department's use, leverage your existing continuous integration tool to constantly
deploy changes from all parties to the Production environment, and then run tests for validation. - C. Use a custom application and the AWS SDK to replicate the resources defined in the current AWS
CloudFormation template, and use the existing code review system to allow other departments to
approve changes before altering the application for future deployments. - D. Separate the AWS CloudFormation template into a nested structure that has individual templates for the
resources that are to be governed by different departments, and use the outputs from the networking and
security stacks for the application template that you control. Report this page