CV0-004 Deployment Practice Test 4 — 15 Questions

Question 1

A company is deploying a containerized application on Amazon ECS using the Fargate launch type. The application must be highly available and scalable. The deployment must also minimize downtime during updates. Which two actions should be taken to meet these requirements? (Choose two.)

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Place the ECS tasks in multiple Availability Zones by using an Application Load Balancer and configuring the service to spread tasks across subnets in different AZs.. To achieve high availability and minimize downtime, the ECS service should be configured with a rolling update strategy that maintains full capacity (minimum healthy percent 100, maximum percent 200) and tasks should be spread across multiple Availability Zones behind an Application Load Balancer. These two actions ensure that updates do not reduce serving capacity and that the application remains available even if an AZ fails.

Answer

Set the ECS task placement strategy to binpack to optimize resource utilization.

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Configure the ECS service to use the blue/green deployment strategy with AWS CodeDeploy.

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Use the AWS Copilot CLI to deploy the application with a single command.

Question 2

A cloud engineer is deploying a new web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The engineer needs to ensure that the deployment does not disrupt existing user sessions and that the new version is automatically rolled back if health checks fail. Which deployment strategy should the engineer use?

Accepted Answer

Canary deployment using AWS CodeDeploy with gradual traffic shifting and automatic rollback. Canary deployment with AWS CodeDeploy supports gradual traffic shifting, which minimizes user impact and preserves sessions on the old version. It integrates with load balancer health checks and can automatically roll back if the new version fails, ensuring reliability. Blue/green shifts all traffic at once, rolling deployment lacks automated rollback, and in-place deployment causes downtime.

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Rolling deployment with EC2 Auto Scaling group and ELB health checks

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Blue/green deployment using AWS CodeDeploy with an Application Load Balancer

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In-place deployment with EC2 instances and manual rollback

Question 3

A cloud engineer is deploying a three-tier web application on AWS using AWS CloudFormation. The team wants to ensure that if any single resource creation fails during stack deployment, the entire stack creation is aborted and all partially created resources are automatically deleted. Which CloudFormation stack option should the engineer configure to meet this requirement?

Accepted Answer

Set the stack's OnFailure parameter to ROLLBACK during stack creation.. The OnFailure parameter is specifically designed to control what happens when stack creation fails. Setting it to ROLLBACK ensures that CloudFormation deletes all resources it created during the failed operation, preventing orphaned resources. The other options either do not directly control this behavior or are used for different purposes such as update rollbacks or stack policies.

Answer

Enable the stack's DisableRollback property to false.

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Set the stack's RollbackConfiguration to trigger a rollback on any resource creation failure.

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Configure a stack policy that denies deletion of resources during stack creation.

Question 4

A cloud engineer is deploying a web application on AWS and needs to ensure that the underlying compute instances are automatically replaced if they fail a health check. The solution must also distribute incoming traffic across multiple Availability Zones and support sticky sessions for user logins. Which AWS service should the engineer use to meet these requirements?

Accepted Answer

Auto Scaling group with Elastic Load Balancer. The scenario requires automatic replacement of unhealthy instances and distribution across Availability Zones with sticky sessions. An Auto Scaling group integrated with an Elastic Load Balancer performs health checks and replaces failed instances, while the ELB distributes traffic and supports session affinity. This combination provides both high availability and session persistence, which are essential for the web application.

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Network Load Balancer

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Application Load Balancer

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Amazon Route 53 with health checks

Question 5

A company is deploying a multi-tier application on AWS using AWS CloudFormation. The application requires an Amazon RDS database, an Application Load Balancer, and an Auto Scaling group. The database must be created before the application instances, and the load balancer must be associated with the Auto Scaling group. The team wants to define this infrastructure as code and ensure that resources are created in the correct order. Which CloudFormation feature should they use to define the dependencies between resources?

Accepted Answer

CloudFormation DependsOn attribute. The DependsOn attribute is the correct CloudFormation feature to establish explicit dependencies between resources. By specifying DependsOn, you ensure that CloudFormation creates the referenced resource first. In this scenario, the application instances should depend on the database, and the Auto Scaling group should depend on the load balancer. This guarantees that resources are provisioned in the required sequence and that references resolve correctly.

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CloudFormation nested stacks

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CloudFormation change sets

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CloudFormation stack policies

Question 6

A cloud operations team uses AWS OpsWorks for Chef Automake to manage configuration of Amazon EC2 instances. They need to ensure that a new cookbook version is applied to all instances only after successful testing in a staging environment. They have a pipeline that builds and tests the cookbook. Which deployment strategy should they use to roll out the cookbook to production instances while minimizing risk?

Accepted Answer

Use the OpsWorks for Chef Automate pipeline feature to deploy the cookbook to a staging stack, run tests, and then promote to production.. The OpsWorks for Chef Automate pipeline feature provides a native way to implement a deployment pipeline with stages, including testing and production. By configuring a pipeline with a staging environment that runs tests and a production environment that deploys the cookbook, the team ensures that changes are validated before reaching production. This minimizes risk and aligns with the requirement.

Answer

Use a canary deployment by applying the new cookbook to a small subset of production instances first, then gradually expand after monitoring.

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Use a blue/green deployment by creating a new stack with the updated cookbook and switching traffic after validation.

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Use a rolling deployment with a maximum of one instance at a time, and stop the rollout if any instance fails.

Question 7

A company is migrating a legacy application to AWS. The application runs on a physical server with 16 vCPUs and 64 GB of RAM. The company wants to minimize changes to the application and reduce operational overhead. They plan to use Amazon EC2. Which instance type family is most appropriate for this workload?

Accepted Answer

Memory optimized instances (e.g., R5). Memory optimized instances are specifically designed for workloads that require a high memory-to-vCPU ratio. The legacy application's specification of 64 GB RAM for 16 vCPUs indicates a memory-intensive workload, making the R5 family the most suitable. General purpose, compute optimized, and storage optimized families are optimized for different resource ratios and would not provide the optimal balance of memory and compute for this application.

Answer

Compute optimized instances (e.g., C5)

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General purpose instances (e.g., M5)

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Storage optimized instances (e.g., I3)

Question 8

A cloud operations team is deploying a multi-tier application on AWS. They need to ensure that the application can automatically recover from failures in a specific Availability Zone and that the database tier remains highly available. The application runs on Amazon EC2 instances behind an Application Load Balancer, and the database is Amazon RDS for MySQL. The team wants to implement a solution that provides automatic failover for the database and distributes traffic across multiple Availability Zones. (Choose two.)

Accepted Answer

Enable Multi-AZ deployment for the RDS instance.. Enabling Multi-AZ for RDS provides automatic database failover, while configuring the ALB to span multiple AZs ensures traffic distribution and application tier resilience. Together, they meet the requirement for automatic recovery from AZ failures and high availability. Other options either do not provide automatic failover or are not relevant to the specific requirements.

Answer

Place all EC2 instances in a single Availability Zone to reduce latency.

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Create a read replica of the RDS instance in a different region.

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Use an Auto Scaling group to launch instances in multiple Availability Zones.

Question 9

A cloud engineer is deploying a multi-tier application on AWS using AWS CloudFormation. The application requires a relational database, a load balancer, and auto scaling for the web tier. The engineer needs to ensure that the database is not accidentally deleted when the stack is updated and that the web tier can scale based on demand. Which two CloudFormation features should be used to meet these requirements? (Choose two.)

Accepted Answer

Define an AWS::AutoScaling::AutoScalingGroup resource with a LaunchConfiguration and scaling policies.. The DeletionPolicy attribute set to Retain on the RDS instance prevents its deletion when the stack is deleted, protecting the database. An AutoScalingGroup with scaling policies enables the web tier to scale automatically based on demand. Together, these features meet the requirements for database protection and web tier scalability.

Answer

Create a nested stack for the web tier and reference it from the parent stack.

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Use the DependsOn attribute to ensure the database is created before the web tier.

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Set the UpdateReplacePolicy attribute to Snapshot on the AWS::RDS::DBInstance resource.

Question 10

A cloud administrator is deploying a new application on AWS and needs to ensure that the application's Amazon EC2 instances can be updated without downtime. The administrator plans to use AWS CodeDeploy with an Auto Scaling group. Which two deployment configurations should be used to achieve zero-downtime deployments? (Choose two.)

Accepted Answer

Use a canary deployment with 10% traffic shifting and automatic rollback based on CloudWatch alarms. Blue/green deployment with a new Auto Scaling group and load balancer traffic shifting ensures zero downtime by maintaining the old environment until the new one is healthy. Canary deployment with gradual traffic shifting and automatic rollback also achieves zero downtime by limiting exposure to the new version. The other options either cause downtime or risk routing traffic to unhealthy instances.

Answer

Use an in-place deployment with a one-at-a-time configuration and enable load balancer health checks

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Use an all-at-once deployment with a new Auto Scaling group and no load balancer

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Use a rolling deployment with a minimum healthy host count of 50% and ignore load balancer health checks

Question 11

A cloud operations team manages a three-tier web application on AWS. The application runs on an Auto Scaling group of Amazon EC2 instances behind an Application Load Balancer. The team must deploy a new version of the application with zero downtime and the ability to immediately roll back if errors are detected. They want to shift a small percentage of live traffic to the new version first, monitor for issues, and then gradually increase traffic. Which deployment strategy should they implement?

Accepted Answer

Blue/green deployment using two Auto Scaling groups and weighted target groups on the Application Load Balancer. Blue/green deployment with weighted target groups on an Application Load Balancer enables shifting a small percentage of traffic to the new version, monitoring, and then gradually increasing traffic. If issues arise, weights can be adjusted to send all traffic back to the original version immediately. This satisfies zero downtime, gradual rollout, and immediate rollback.

Answer

In-place deployment by stopping all instances, updating the application, and restarting them

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Rolling deployment with the Auto Scaling group's instance refresh feature

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Canary deployment using AWS CodeDeploy with a linear deployment configuration

Question 12

A cloud engineer is deploying a new application on AWS using AWS Elastic Beanstalk. The application requires a specific version of the runtime and additional software packages to be installed on the instances. The engineer wants to ensure that the environment can be easily reproduced and that configuration changes are version-controlled. Which two actions should the engineer take to meet these requirements? (Choose two.)

Accepted Answer

Create a saved configuration in Elastic Beanstalk that includes the desired runtime and packages, and apply it to new environments.. Using .ebextensions configuration files allows you to define the installation of additional packages and runtime configuration in a version-controlled manner. Saved configurations capture the environment settings and can be applied to new environments for reproducibility. Together, these actions ensure that the environment can be easily recreated and configuration changes are tracked.

Answer

Create a custom Amazon Machine Image (AMI) with the required runtime and packages, and specify it in the Elastic Beanstalk environment configuration.

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Specify the runtime version in the Elastic Beanstalk environment's platform configuration and use a Procfile to define the application startup.

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Enable managed platform updates and specify a maintenance window for automatic updates.

Question 13

A cloud engineer is deploying a serverless application using AWS Lambda and Amazon API Gateway. The application must handle sudden spikes in traffic, but the Lambda function has a concurrency limit of 100. The engineer wants to ensure that the application remains available and responsive during traffic spikes without throttling legitimate users. Which solution should be implemented?

Accepted Answer

Request a service quota increase for Lambda concurrency and implement a queue-based load leveling pattern with Amazon SQS.. To handle traffic spikes without throttling, you need to increase the concurrency limit beyond the default and use an asynchronous buffering mechanism. Requesting a service quota increase for Lambda concurrency allows more concurrent executions. Adding an SQS queue between API Gateway and Lambda enables load leveling, so sudden spikes are queued and processed at a rate Lambda can handle. This architecture prevents throttling and maintains responsiveness for legitimate users.

Answer

Enable Lambda provisioned concurrency for the function.

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Increase the Lambda function's reserved concurrency to 1000.

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Configure API Gateway to use usage plans and API keys to throttle requests.

Question 14

A DevOps engineer is deploying a new version of an application to an AWS Elastic Beanstalk environment. The deployment must minimize downtime and allow for quick rollback if issues are detected. The application is sensitive to database schema changes, so the deployment should not run new code against the old database schema. Which deployment policy should the engineer choose?

Accepted Answer

Immutable. The Immutable deployment policy is best suited because it launches a full set of new instances with the new application version, performs health checks, and only then swaps them into service. This minimizes downtime and enables quick rollback by simply terminating the new instances if issues occur. It also isolates the new code from the old environment, avoiding schema conflicts.

Answer

All at once

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Rolling with additional batch

Answer

Rolling

Question 15

A cloud engineer is deploying a new application on AWS using AWS CodeDeploy. The application runs on a fleet of Amazon EC2 instances behind an Application Load Balancer. The engineer must ensure that during deployment, instances are taken out of service, updated, and then put back into service only after validation tests pass. The deployment should also automatically roll back if validation fails. (Choose two.)

Accepted Answer

Configure the deployment group to use a load balancer and enable load balancing for the deployment.. To achieve zero-downtime deployment with validation and automatic rollback on EC2 instances behind an ALB, you must use the CodeDeploy agent (EC2/On-Premises platform) and enable load balancing in the deployment group. The agent allows CodeDeploy to manage the lifecycle, and load balancing enables deregistration and re-registration of instances. Validation tests can be run via hooks, and rollback is triggered on failure.

Answer

Set the deployment configuration to 'AllAtOnce' to minimize deployment time.

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Use AWS CodePipeline to orchestrate the deployment and add a manual approval action before deployment.

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Configure the deployment group to use an in-place deployment with a one-at-a-time configuration.