CV0-004 Deployment Practice Question
A cloud engineer is deploying a multi-tier web application on AWS using AWS Elastic Beanstalk. The application requires a relational database and must be able to scale automatically based on demand. The engineer wants to minimize management overhead. Which deployment approach should the engineer use?
⚠ Common exam trap
The trap here is assuming that any automated deployment service reduces management overhead equally, when Elastic Beanstalk specifically provides integrated database provisioning and automatic scaling with minimal configuration.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a new Elastic Beanstalk environment with a web server tier and configure an Amazon RDS database instance using the Elastic Beanstalk console.
Elastic Beanstalk is designed to simplify deployment by handling capacity provisioning, load balancing, scaling, and application health monitoring. Integrating an RDS database through the Elastic Beanstalk console automates database setup and lifecycle management, reducing administrative tasks. The other options require manual configuration of scaling or database management, which increases overhead and does not leverage Beanstalk's integrated features.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy the application as a container on Amazon ECS with an Amazon RDS database, and configure Application Auto Scaling.
Why it's wrong here
Amazon ECS with RDS and Application Auto Scaling can scale the application, but it involves more management overhead than Elastic Beanstalk because the engineer must configure task definitions, services, clusters, and scaling policies. Elastic Beanstalk provides a simpler, more integrated experience for this scenario, automatically handling capacity provisioning and load balancing.
- ✓
Create a new Elastic Beanstalk environment with a web server tier and configure an Amazon RDS database instance using the Elastic Beanstalk console.
Why this is correct
Elastic Beanstalk supports integrating an RDS database directly through the console, which automates the creation of the database and configures the necessary security groups and environment properties. This minimizes management overhead because Beanstalk handles provisioning, scaling, and monitoring of both the application and the database lifecycle. The web server tier handles HTTP requests and can scale automatically based on load.
- ✗
Use AWS CloudFormation to create an EC2 instance with a user data script that installs the application and a MySQL database.
Why it's wrong here
While CloudFormation can automate infrastructure provisioning, using a user data script to install and configure both application and database on a single EC2 instance does not provide automatic scaling or high availability. It also requires managing the database on the instance, increasing operational overhead. This does not meet the requirement for automatic scaling based on demand.
- ✗
Launch an Amazon EC2 instance, install the application and database software, and configure an Auto Scaling group manually.
Why it's wrong here
Manually launching EC2 instances and installing software requires significant management effort, including patching, scaling configuration, and database administration. This approach does not minimize overhead and is not the intended use of Elastic Beanstalk. The engineer would need to manage scaling policies and database backups independently, which contradicts the goal of reducing management tasks.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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