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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q10-Q15):

NEW QUESTION # 10
An Engineering team manages a Node.js e-commerce application. The current environment consists of the following components:
* Amazon S3 buckets for storing content
* Amazon EC2 for the front-end web servers
* AWS Lambda for executing image processing
* Amazon DynamoDB for storing session-related data
The team expects a significant increase in traffic to the site. The application should handle the additional load without interruption. The team ran initial tests by adding new servers to the EC2 front-end to handle the larger load, but the instances took up to 20 minutes to become fully configured. The team wants to reduce this configuration time.
What changes will the Engineering team need to implement to make the solution the MOST resilient and highly available while meeting the expected increase in demand?

A. Configure Amazon CloudFront and have its origin point to Amazon S3 to host the web application.
Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the CloudFront DNS name.
B. Use AWS Elastic Beanstalk with a custom AMI including all web components. Deploy the platform by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Elastic Beanstalk load balancer.
C. Use AWS OpsWorks to automatically configure each new EC2 instance as it is launched. Configure the EC2 instances by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Application Load Balancer.
D. Deploy a fleet of EC2 instances, doubling the current capacity, and place them behind an Application Load Balancer. Increase the Amazon DynamoDB read and write capacity units. Add an alias record that contains the Application Load Balancer endpoint to the existing Amazon Route 53 DNS record that points to the application.

Answer: B

NEW QUESTION # 11
You have an application running a specific process that is critical to the application's functionality, and have added the health check process to your Auto Scaling Group. The instances are showing healthy but the application itself is not working as it should. What could be the issue with the health check, since it is still showing the instances as healthy.

A. You do not have the time range in the health check properly configured
B. It is not possible for a health check to monitor a process that involves the application
C. The health check is not checking the application process
D. The health check is not configured properly

Answer: C

Explanation:
If you have custom health checks, you can send the information from your health checks to Auto Scaling so that Auto Scaling can use this information. For example, if you determine that an instance is not functioning as expected, you can set the health status of the instance to Unhealthy. The next time that Auto Scaling performs a health check on the instance, it will determine that the instance is unhealthy and then launch a replacement instance For more information on Autoscaling health checks, please refer to the below document link: from AWS
http://docs.aws.a mazon.com/autoscaling/latest/userguide/healthcheck.html

NEW QUESTION # 12
You need the absolute highest possible network performance for a cluster computing application. You already
selected homogeneous instance types supporting 10 gigabit enhanced networking, made sure that your
workload was network bound, and put the instances in a placement group. What is the last optimization you
can make?

A. Turn off SYN/ACK on your TCP stack or begin using UDP for higher throughput.
B. Bake an AMI for the instances and relaunch, so the instances are fresh in the placement group and do
not have noisy neighbors.
C. Segregate the instances into different peered VPCs while keeping them all in a placement group, so each
one has its own Internet Gateway.
D. Use 9001 MTU instead of 1500 for Jumbo Frames, to raise packet body to packet overhead ratios.

Answer: D

Explanation:
Explanation
Jumbo frames allow more than 1500 bytes of data by increasing the payload size per packet, and thus
increasing the percentage of the packet that is not packet
overhead. Fewer packets are needed to send the same amount of usable data. However, outside of a given
AWS region (CC2-Classic), a single VPC, or a VPC peering
connection, you will experience a maximum path of 1500 MTU. VPN connections and traffic sent over an
Internet gateway are limited to 1500 MTU. If packets are over
1500 bytes, they are fragmented, or they are dropped if the Don't Fragment flag is set in the IP header.
For more information on Jumbo Frames, please visit the below URL:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/network_mtu.htm#jumbo_frame_instances

NEW QUESTION # 13
You are using CloudFormation to launch an EC2 instance and then configure an application after the instance
is launched. You need the stack creation of the ELB and Auto Scaling to wait until the EC2 instance is
launched and configured properly. How do you do this?

A. It is not possible for the stack creation to wait until one service is created and launched
B. Use the HoldCondition resource to hold the creation of the other dependent resources
C. Use a CreationPolicy to wait for the creation of the other dependent resources >/
D. Use the WaitCondition resource to hold the creation of the other dependent resources

Answer: C

Explanation:
Explanation
When you provision an Amazon EC2 instance in an AWS Cloud Formation stack, you might specify
additional actions to configure the instance, such as install
software packages or bootstrap applications. Normally, CloudFormation proceeds with stack creation after the
instance has been successfully created. However,
you can use a Creation Pol icy so that CloudFormation proceeds with stack creation only after your
configuration actions are done. That way you'll know your
applications are ready to go after stack creation succeeds.
A Creation Policy instructs CloudFormation to wait on an instance until CloudFormation receives the
specified number of signals
Option A is invalid because this is possible
Option B is invalid because this is used make AWS CloudFormation pause the creation of a stack and wait for
a signal before it continues to create the stack
For more information on this, please visit the below URL:
* https://aws.amazon.com/blogs/devops/use-a-creationpolicy-to-wait-for-on-instance-configurations/

NEW QUESTION # 14
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?

A. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec.yml file.
B. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings.
Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file
C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
D. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

Answer: D

NEW QUESTION # 15
......

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