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[Oct-2022] DOP-C01 Free Sample Questions to Practice One Year Update [Q18-Q40]

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[Oct-2022] DOP-C01 Free Sample Questions to Practice One Year Update

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NEW QUESTION 18
You are doing a load testing exercise on your application hosted on AWS. While testing your Amazon RDS MySQL DB instance, you notice that when you hit 100% CPU utilization on it, your application becomes non- responsive. Your application is read-heavy. What are methods to scale your data tier to meet the application's needs? Choose three answers from the options given below

  • A. Enable Multi-AZ for your Amazon RDS DB instance.
  • B. Add your Amazon RDS DB instance to an Auto Scalinggroup and configure your Cloud Watch metric based on CPU utilization.
  • C. Shard your data set among multiple Amazon RDS DB instances.
  • D. Add Amazon RDS DB read replicas, and have your application direct read queries to them.
  • E. Use an Amazon SQS queue to throttle data going to the Amazon RDS DB instance.
  • F. Use ElastiCache in front of your Amazon RDS DB to cache common queries.

Answer: C,D,F

Explanation:
Explanation
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances. This replication feature makes it easy to elastically scale out beyond the capacity constraints of a single DB Instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput For more information on Read Replica's please refer to the below link:
https://aws.amazon.com/rds/details/read-replicas/
Sharding is a common concept to split data across multiple tables in a database For more information on sharding please refer to the below link:
* https://forums.awsa mazon.com/thread jspa?messagelD=203052
Amazon OastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases Amazon OastiCache is an in-memory key/value store that sits between ycbetappiicipiJGra arcdalie data store (database) that it accesses. Whenever your application requests data, it first makes the request to the DastiCache cache. If the data exists in the cache and is current, OastiCache returns the data to your application. If the data does not exist in the cache, or the data in the cache has expired, your application requests the data from your data store which returns the data to your application. Your application then writes the data received from the store to the cache so it can be more quickly retrieved next time it is requested. For more information on Elastic Cache please refer to the below link:
* https://aws.amazon.com/elasticache/
Option B is not an ideal way to scale a database
Option C is not ideal to store the data which would go into a database because of the message size Option F is invalid because Multi-AZ feature is only a failover option

 

NEW QUESTION 19
A user has created a new EBS volume from an existing snapshot. The user mounts the volume on the instance to which it is attached. Which of the below mentioned options is a required step before the user can mount the volume?

  • A. Run a cyclic check on the device for data consistency
  • B. Resize the volume as per the original snapshot size
  • C. No step is required. The user can directly mount the device
  • D. Create the file system of the volume

Answer: C

Explanation:
When a user is trying to mount a blank EBS volume, it is required that the user first creates a file system within the volume. If the volume is created from an existing snapshot then the user needs not to create a file system on the volume as it will wipe out the existing data.

 

NEW QUESTION 20
An AWS CodePipeline pipeline has implemented a code release process. The pipeline is integrated with AWS CodeDeploy to deploy versions of an application to multiple Amazon EC2 instances for each CodePipeline stage.
During a recent deployment, the pipeline failed due to a CodeDeploy issue. The DevOps team wants to improve monitoring and notifications during deployment to decrease resolution times.
What should the DevOps Engineer do to create notifications when issues are discovered?

  • A. Implement AWS CloudTrail to record CodePipeline and CodeDeploy API call information, create an AWS Lambda function to evaluate code deployment issues, and create an Amazon SNS topic to notify stakeholders of deployment issues.
  • B. Implement AWS CloudWatch Events for CodePipeline and CodeDeploy, create an Amazon Inspector assessment target to evaluate code deployment issues, and create an Amazon SNS topic to notify stakeholders of deployment issues.
  • C. Implement AWS CloudWatch Events for CodePipeline and CodeDeploy, create an AWS Lambda function to evaluate code deployment issues, and create an Amazon SNS topic to notify stakeholders of deployment issues.
  • D. Implement AWS CloudWatch Logs for CodePipeline and CodeDeploy, create an AWS Config rule to evaluate code deployment issues, and create an Amazon SNS topic to notify stakeholders of deployment issues.

Answer: D

 

NEW QUESTION 21
A company is reviewing its IAM policies. One policy written by the DevOps Engineer has been flagged as too permissive. The policy is used by an AWS Lambda function that issues a stop command to Amazon EC2 instances tagged with Environment: NonProduction over the weekend.
The current policy is:

What changes should the Engineer make to achieve a policy of least permission? (Select THREE.)

  • A.
  • B.
  • C.
  • D.
  • E.
  • F.

Answer: C,D,F

Explanation:
https://docs.aws.amazon.com/ja_jp/IAM/latest/UserGuide/reference_policies_variables.html
https://aws.amazon.com/jp/premiumsupport/knowledge-center/restrict-ec2-iam/

 

NEW QUESTION 22
A DevOps Engineer is reviewing a system that uses Amazon EC2 instances in an Auto Scaling group. This system uses a configuration management tool that runs locally on each EC2 instance. Because of the volatility of the application load, new instances must be fully functional within 3 minutes of entering a running state. Current setup tasks include:
* Installing the configuration management agent - 2 minutes
* Installing the application framework - 15 minutes
* Copying configuration data from Amazon S3 - 2 minutes
* Running the configuration management agent to configure instances - 1 minute
* Deploying the application code from Amazon S3 - 2 minutes
How should the Engineer set up system so it meets the launch time requirement?

  • A. Trigger an AWS Lambda function from an Amazon CloudWatch Events rule when a new EC2 instance launches. Have the function install the configuration management agent and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
  • B. Write a bootstrap script to install the configuration management agent, install and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
  • C. Build a custom AMI that includes the configuration management agent and application framework. Write a bootstrap script to pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
  • D. Build a custom AMI that includes the configuration management agent, application framework, and configuration data. Write a bootstrap script to run the agent to configure the instance and deploy the application from Amazon S3.

Answer: B

 

NEW QUESTION 23
A DevOps engineer used an AWS CloudFormation custom resource to set up AD Connector. The AWS Lambda function executed and created AD Connector, but CloudFormation is not transitioning from CREATE_IN_PROGRESS to CREATE.COMPLETE.
Which action should the engineer take to resolve this issue?

  • A. Ensure the Lambda function code has exiled successfully.
  • B. Ensure the Lambda function code returns a response to the pre-signed URL.
  • C. Ensure the Lambda function IAM role has cloudformation:UpdateStack permissions for the stack ARN.
  • D. Ensure the Lambda function IAM role has ds:ConnectDirectory permissions for the AWS account.

Answer: A

 

NEW QUESTION 24
What needs to be done in order to remotely access a Docker daemon running on Linux?

  • A. add certificate authentication to the docker API
  • B. change the encryption level to TLS
  • C. enable the TCP socket
  • D. bind the Docker API to a unix socket

Answer: C

Explanation:
The Docker daemon can listen for Docker Remote API requests via three different types of Socket:
unix, tcp, and fd.
By default, a unix domain socket (or IPC socket) is created at /var/run/docker.sock, requiring either root permission, or docker group membership. If you need to access the Docker daemon remotely, you need to enable the tcp Socket. Beware that the default setup provides un- encrypted and un-authenticated direct access to the Docker daemon - and should be secured either using the built in HTTPS encrypted socket or by putting a secure web proxy in front of it.
Reference:
https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-socket-option

 

NEW QUESTION 25
Which of the following is incorrect when it comes to using the instances in an Opswork stack?

  • A. You can use custom AMI'S as long as they are based on one of the AWS OpsWorks Stacks-supported AMIs
  • B. You can use time-based automatic scaling with any stack
  • C. In a stack you can use a mix of both Windowsand Linux operating systems
  • D. You can start and stop instances manually in a stack

Answer: C

Explanation:
Explanation
The AWS documentation mentions the following about Opswork stack
* A stack's instances can run either Linux or Windows.
A stack can have different Linux versions or distributions on different instances, but you cannot mix Linux and Windows instances.
* You can use custom AMIs (Amazon Machine Images), but they must be based on one of the AWS Ops Works Stacks-supported AMIs
* You can start and stop instances manually or have AWS OpsWorks Stacks automatically scale the number of instances. You can use time-based automatic scaling with any stack; Linux stacks also can use load-based scaling.
* In addition to using AWS OpsWorks Stacks to create Amazon EC2 instances, you can also register instances with a Linux stack that were created outside of AWS OpsWorks Stacks.
For more information on Opswork stacks, please visit the below link:
* http://docs.aws.amazon.com/opsworks/latest/userguide/workinginstances-os.
html

 

NEW QUESTION 26
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. 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
  • B. 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.
  • C. 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.
  • D. 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.

Answer: C

 

NEW QUESTION 27
You meet once per month with your operations team to review the past month's data. During the meeting, you realize that 3 weeks ago, your monitoring system which pings over HTTP from outside AWS recorded a large spike in latency on your 3-tier web service API.
You use DynamoDB for the database layer, ELB, EBS, and EC2 for the business logic tier, and SQS, ELB, and EC2 for the presentation layer.
Which of the following techniques will NOT help you figure out what happened?

  • A. Review CloudWatch Metrics graphs to determine which component(s) slowed the system down.
  • B. Review your ELB access logs in S3 to see if any ELBs in your system saw the latency.
  • C. Check your CloudTrail log history around the spike's time for any API calls that caused slowness.
  • D. Analyze your logs to detect bursts in traffic at that time.

Answer: A

Explanation:
Metrics data are available for 2 weeks. If you want to store metrics data beyond that duration, you can retrieve it using our GetMetricStatistics API as well as a number of applications and tools offered by AWS partners.
https://aws.amazon.com/cloudwatch/faqs/

 

NEW QUESTION 28
You are building out a layer in a software stack on AWS that needs to be able to scale out to react to increased demand as fast as possible. You are running the code on EC2 instances in an Auto Scaling Group behind an ELB. Which application code deployment method should you use?

  • A. SSH into new instances that come online, and deploy new code onto the system by pulling it from an S3 bucket, which is populated by code that you refresh from source control on new pushes.
  • B. Create a Dockerfile when preparing to deploy a new version to production and publish it to S3.
    Use UserData in the Auto Scaling Launch configuration to pull down the Dockerfile from S3 and run it when new instances launch.
  • C. Create a new Auto Scaling Launch Configuration with UserData scripts configured to pull the latest code at all times.
  • D. Bake an AMI when deploying new versions of code, and use that AMI for the Auto Scaling Launch Configuration.

Answer: D

Explanation:
... the bootstrapping process can be slower if you have a complex application or multiple applications to install. Managing a fleet of applications with several build tools and dependencies can be a challenging task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take advantage of Auto Scaling.
https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf

 

NEW QUESTION 29
You are currently using Elastic Beanstalk to host your production environment. You need to rollout updates to your application hosted on this environment. This is a critical application which is why there is a requirement that the rollback, if required, should be carried out with the least amount of downtime. Which of the following deployment strategies would ideally help achieve this purpose

  • A. Create a Cloudformation template with the same resources as those in the Elastic beanstalk environment.
    If the deployment fails, deploy the Cloudformation template.
  • B. Create another parallel environment in elastic beanstalk. Create a new Route53 Domain name for the new environment and release that url to the users.
  • C. Use Rolling updates in Elastic Beanstalk so that if the deployment fails, the rolling updates feature would roll back to the last deployment.
  • D. Create another parallel environment in elastic beanstalk. Use the Swap URL feature.

Answer: D

Explanation:
Explanation
Since the requirement is to have the least amount of downtime, the ideal way is to create a blue green deployment environment and then use the Swap URL feature to swap environments for the new deployment and then do the swap back, incase the deployment fails.
The AWS Documentation mentions the following on the SWAP url feature of Elastic Beanstalk Because Elastic Beanstalk performs an in-place update when you update your application versions, your application may become unavailable to users for a short period of time. It is possible to avoid this downtime by performing a blue/green deployment, where you deploy the new version to a separate environment, and then swap CNAMCs of the two environments to redirect traffic to the new version instantly.

 

NEW QUESTION 30
Your company has an application hosted on an Elastic beanstalk environment. You have been instructed that
whenever application changes occur and new versions need to be deployed that the fastest deployment
approach is employed. Which of the following deployment mechanisms will fulfil this requirement?

  • A. Allatonce
  • B. Immutable
  • C. Rollingwith batch
  • D. Rolling

Answer: A

Explanation:
Explanation
The following table from the AWS documentation shows the deployment time for each deployment methods.

For more information on Elastic beanstalk deployments, please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.deploy-existing-
version, htm I

 

NEW QUESTION 31
You have a multi-docker environment that you want to deploy to AWS. Which of the following configuration files can be used to deploy a set of Docker containers as an Elastic Beanstalk application?

  • A. .ebextensions
  • B. Dockerrun.awsjson
  • C. Dockerrunjson
  • D. Dockerfile

Answer: B

Explanation:
Explanation
A Dockerrun.aws.json file is an Clastic Beanstalk-specific JSON file that describes how to deploy a set of Docker containers as an Clastic Beanstalk application. You can use aDockerrun.aws.json file for a multicontainer Docker environment.
Dockerrun.aws.json describes the containers to deploy to each container instance in the environment as well as the data volumes to create on the host instance for the containers to mount.
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker_v2config.html

 

NEW QUESTION 32
You have written a server-side Node.Js application and a web application with an HTML/JavaScript front end that uses the Angular.js framework.
The server-side application connects to an Amazon Redshift cluster, issues queries, and then returns the results to the front end for display.
Your user base is very large and distributed, but it is important to keep the cost of running this application low.
Which deployment strategy is both technically valid and the most cost-effective?

  • A. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon Simple Storage Service (S3) bucket.
    Create an Amazon CloudFront distribution with this bucket as its origin. Use AWS Elastic Beanstalk to deploy the Node.js application.
    Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
  • B. Upload the HTML, CSS, images, and JavaScript for the front end, plus the Node.js code for the server-side application, to an Amazon S3 bucket.
    Create a CloudFront distribution with this bucket as its origin.
    Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
  • C. Deploy an AWS OpsWorks stack with three layers: a static web server layer for your front end, a Node.js app server layer for your server-side application, and a Redshift DB layer for your Amazon Redshift duster.
  • D. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon S3 bucket.
    Use AWS Elastic Beanstalk to deploy the Node.js application.
    Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
  • E. Deploy an AWS Elastic Beanstalk application with two environments: one for the Node.js application and another for the web front end.
    Launch an Amazon Redshift cluster, and point your application to its Java Database Connectivity (JDBC) endpoint.

Answer: A

 

NEW QUESTION 33
A company wants to use Amazon ECS to provide a Docker container runtime environment. For compliance reasons, all Amazon EBS volumes used in the ECS cluster must be encrypted.
Rolling updates will be made to the cluster instances and the company wants the instances drained of all tasks before being terminated.
How can these requirements be met? (Select TWO.)

  • A. Use AWS CodePipeline to build a pipeline that discovers the latest Amazon-provided ECS AMI, then copies the image to an encrypted AMI outputting the encrypted AMI ID. Use the encrypted AMI ID when deploying the cluster.
  • B. Modify the default ECS AMI user data to create a script that executes docker rm {id} for all running container instances. Copy the script to the /etc/init.d/rc.d directory and execute chconfig enabling the script to run during operating system shutdown.
  • C. Create an IAM role that allows the action ECS::EncryptedImage. Configure the AWS CLI and a profile to use this role. Start the cluster using the AWS CLI providing the --use-encrypted-image and --kms-key arguments to the create-cluster ECS command.
  • D. Create an Auto Scaling lifecycle hook backed by an AWS Lambda function that uses the AWS SDK to mark a terminating instance as DRAINING. Prevent the lifecycle hook from completing until the running tasks on the instance are zero.
  • E. Copy the default AWS CloudFormation template that ECS uses to deploy cluster instances.
    Modify the template resource EBS configuration setting to set `Encrypted: True' and include the AWS KMS alias:
    `aws/ebs' to encrypt the AMI.

Answer: C,D

 

NEW QUESTION 34
A Development team creates a build project in AWS CodeBuild. The build project invokes automated tests of modules that access AWS services. Which of the following will enable the tests to run the MOST securely?

  • A. Have CodeBuild run only the integration tests as a build job on a Jenkins server. Create a role that has a policy attached to allow the actions on AWS services. Generate credentials for an IAM user that is allowed to assume the role. Configure the credentials as secrets in Jenkins, and allow the build job to use them to run the integration tests.
  • B. Use AWS managed credentials. Encrypt the credentials with AWS KMS. As part of the build script, decrypt with AWS KMS and use these credentials to run the integration tests.
  • C. Generate credentials for an IAM user with a policy attached to allow the actions on AWS services. Store credentials as encrypted environment variables for the build project. As part of the build script, obtain the credentials to run the integration tests.
  • D. Create a service role in IAM to be assumed by CodeBuild with a policy attached to allow the actions on AWS services. Configure the build project to use the role created.

Answer: A

 

NEW QUESTION 35
Your team wants to begin practicing continuous delivery using CloudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers.
You have a 3-tier, mission-critical system.
Which of the following is NOT a best practice for using CloudFormation in a continuous delivery environment?

  • A. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.
  • B. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
  • C. Use the AWS CloudFormation <code>ValidateTemplate</code> call before publishing changes to AWS.
  • D. Parametrize the template and use <code>Mappings</code> to ensure your template works in multiple Regions.

Answer: B

Explanation:
Putting all resources in one stack is a bad idea, since different tiers have different life cycles and frequencies of change. For additional guidance about organizing your stacks, you can use two common frameworks: a multi-layered architecture and service-oriented architecture (SOA).
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/best-
practices.html#organizingstack s

 

NEW QUESTION 36
You set up a scalable continuous integration platform on AWS.
The platform consists of a master node that can delegate project build jobs to multiple slave nodes, all running on Amazon EC2.
The build output will be stored in Amazon S3.
You always have five slave nodes deployed. Each slave node can handle 10 build jobs simultaneously.
Your master node publishes a custom Amazon CloudWatch metric with the name
"RunningBuildiobs" that Slows you to programmatically track how many build jobs are running across your platform.
Which two configuration options will allow you to flexibly scale your platform to support more than
50 simultaneous build jobs while minimizing costs? Choose 2 answers

  • A. Place your fleet of slave nodes in an Auto Scaling group.
    Configure a CloudWatch alarm that triggers an Auto Scaling policy to terminate Amazon EC2 instances when "RunningBuildJobs" is less than 40 for more than five minutes.
  • B. Run your fleet of slave nodes in an Auto Scaling group.
    Configure a Cloudwatch alarm that launches new Amazon EC2 Dedicated Instances when
    "RunningBuildJobs" is less than 40 for more than five minutes.
  • C. Place your fleet of slave nodes in an Auto Scaling group.
    Configure a CloudWatch alarm that triggers an Auto Scaling policy to launch Amazon EC2 Instances when "RunningBuildJobs" is greater than 45 for more than five minutes.
  • D. Configure your fleet of slave nodes to fully utilize all of your purchased Amazon EC2 Heavy Utilization Reserved Instances.
    Configure a CloudWatch alarm that launches new Amazon EC2 instances when
    "RunningBuildJobs" is less than 40 for more than five minutes.
  • E. Configure a CloudWatch alarm that sends an alert when "RunningBuildJobs" is greater than 45 for more than five minutes.
    Use Amazon Simple Queue Service to process additional build jobs when the CloudWatch alarm is triggered.

Answer: A,C

 

NEW QUESTION 37
You are designing an enterprise data storage system. Your data management software system requires mountable disks and a real filesystem, so you cannot use S3 for storage. You need persistence, so you will be using AWS EBS Volumes for your system. The system needs as low- cost storage as possible, and access is not frequent or high throughput, and is mostly sequential reads. Which is the most appropriate EBS Volume Type for this scenario?

  • A. gp1
  • B. io1
  • C. gp2
  • D. standard

Answer: D

Explanation:
standard volumes, or Magnetic volumes, are best for: Cold workloads where data is infrequently accessed, or scenarios where the lowest storage cost is important.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html

 

NEW QUESTION 38
One of your engineers has written a web application in the Go Programming language and has asked your DevOps team to deploy it to AWS. The application code is hosted on a Git repository.
What are your options? (Select Two)

  • A. Writea Dockerfile that installs the Go base image and fetches your application usingGit, Create an AWS CloudFormation template that creates and associates an AWS::EC2::lnstanceresource type with an AWS::EC2::Container resource type.
  • B. Create a new AWS Elastic Beanstalk application and configure a Go environment to host your application, Using Git check out the latest version of the code, once the local repository for Elastic Beanstalk is configured use "eb create" command to create an environment and then use "eb deploy" command to deploy the application.
  • C. Writea Dockerfile that installs the Go base image and fetches your application usingGit, Create a new AWS Elastic Beanstalk application and use this Dockerfile toautomate the deployment.
  • D. Writea Dockerf ile that installs the Go base image and uses Git to fetch yourapplication. Create a new AWS OpsWorks stack that contains a Docker layer thatuses the Dockerrun.aws.json file to deploy your container and then use theDockerfile to automate the deployment.

Answer: B,C

Explanation:
Explanation
Opsworks works with Chef recipes and not with Docker containers so Option B and C are invalid.
There is no AWS::CC2::Container resource for Cloudformation so Option D is invalid.
Below is the documentation on Clastic beanstalk and Docker
Clastic Beanstalk supports the deployment of web applications from Docker containers. With Docker containers, you can define your own runtime environment. You can choose your own platform, programming language, and any application dependencies (such as package managers or tools), that aren't supported by other platforms. Docker containers are self-contained and include all the configuration information and software your web application requires to run.
For more information on Clastic beanstalk and Docker, please visit the link:
* http://docs.aws.a
mazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html
* https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/eb-cli3-getting-started.htmI
* https://docs^ws.amazon.com/elasticbeanstalk/latest/dg/eb3-cli-git.html

 

NEW QUESTION 39
You have an application which consists of EC2 instances in an Auto Scaling group. Between a particular time frame every day, there is an increase in traffic to your website. Hence users are complaining of a poor response time on the application. You have configured your Auto Scaling group to deploy one new EC2 instance when CPU utilization is greater than 60% for 2 consecutive periods of 5 minutes. What is the least cost-effective way to resolve this problem?

  • A. Decrease the collection period to ten minutes
  • B. Decrease the threshold CPU utilization percentage at which to deploy a new instance
  • C. Increase the minimum number of instances in the Auto Scaling group
  • D. Decrease the consecutive number of collection periods

Answer: C

Explanation:
Explanation
If you increase the minimum number of instances, then they will be running even though the load is not high on the website. Hence you are incurring cost even though there is no need.
All of the remaining options are possible options which can be used to increase the number of instances on a high load.
For more information on On-demand scaling, please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html
Note: The tricky part where the question is asking for 'least cost effective way". You got the design consideration correctly but need to be careful on how the question is phrased.

 

NEW QUESTION 40
......

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