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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows - Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks - Prepare application artifacts for deployment 1. Use infrastructure as code (AWS CloudFormation, AWS SAM) 2. Package code and dependencies
Topic 2: Troubleshooting and Optimization	18%	- Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems - Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput - Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
Topic 3: Security	26%	- Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely - Implement authentication and authorization 1. Use Amazon Cognito for identity management 2. Manage IAM roles, policies, and permissions - Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations
Topic 4: Development with AWS Services	32%	- Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies - Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Develop serverless applications 3. Implement architectural patterns

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Amazon AWS Certified Developer - Associate Sample Questions (Q433-Q438):

NEW QUESTION # 433
A company deploys a new application to AWS. The company is streaming application logs to Amazon CloudWatch Logs. The company's development team must receive notification by email when the word
"ERROR" appears in any log lines. A developer sets up an Amazon SNS topic and subscribes the development team to the topic.
What should the developer do next to meet the requirements?

A. Create a CloudWatch alarm that includes "ERROR" as a filter pattern, a log group dimension that defines the appropriate log group, and a destination that notifies the SNS topic.
B. In CloudWatch Logs Insights, select the appropriate log group. Create a metric query to search for the term "ERROR" in the logs. Create an alarm on this metric that notifies the SNS topic when the metric is
1 or higher.
C. Select the appropriate log group. Create an SNS subscription filter with "ERROR" as the filter pattern.
Select the SNS topic as the destination.
D. Select the appropriate log group. Create a CloudWatch metric filter with "ERROR" as the search term.
Create an alarm on this metric that notifies the SNS topic when the metric is 1 or higher.

Answer: D

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option A is Correct:Creating a CloudWatch metric filter with "ERROR" as the search term ensures that occurrences of the word "ERROR" in logs are counted. An alarm can then be set to notify the SNS topic when the count exceeds 1. This is the standard approach to monitor specific patterns in CloudWatch Logs.
* Why Other Options are Incorrect:
* Option B: CloudWatch Logs Insights is used for querying logs manually and does not integrate directly with alarms for automated notifications.
* Option C: SNS subscription filters are not a feature for filtering log patterns in CloudWatch Logs.
* Option D: CloudWatch alarms do not directly include log filter patterns; a metric filter is needed to create the metric first.
* AWS Documentation References:
* Creating CloudWatch Metric Filters

NEW QUESTION # 434
A developer has a financial application. The application uses AWS Secrets Manager to manage an Amazon RDS for PostgreSQL database's username and password. The developer needs to rotate the password while maintaining the application's high availability. Which solution will meet these requirements with LEAST development effort?

A. Rotate the secret by using the alternating-users rotation strategy. Update the application with an appropriate retry strategy to handle authentication failures.
B. Rotate the secret by using the single-user rotation strategy. Update the application with an appropriate retry strategy to handle authentication failures.
C. Use the PostgreSQL client to create a new database username and password. Include the new secret values by performing an immediate rotation. Use the AWS CLI to update the RDS database password. Perform an immediate rotation of the Secrets Manager secrets.
D. Rotate the secret by using multivalue answer rotation. Update the application with an appropriate retry strategy to handle authentication failures.

Answer: B

NEW QUESTION # 435
A developer needs to migrate an online retail application to AWS to handle an anticipated increase in traffic.
The application currently runs on two servers: one server for the web application and another server for the database. The web server renders webpages and manages session state in memory. The database server hosts a MySQL database that contains order details. When traffic to the application is heavy, the memory usage for the web server approaches 100% and the application slows down considerably.
The developer has found that most of the memory increase and performance decrease is related to the load of managing additional user sessions. For the web server migration, the developer will use Amazon EC2 instances with an Auto Scaling group behind an Application Load Balancer.
Which additional set of changes should the developer make to the application to improve the application's performance?

A. Use Amazon ElastiCache for Memcached to store and manage the session data and the application data.
B. Use the EC2 instance store to manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
C. Use Amazon ElastiCache for Memcached to store and manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
D. Use an EC2 instance to host the MySQL database. Store the session data and the application data in the MySQL database.

Answer: C

Explanation:
Using Amazon ElastiCache for Memcached to store and manage the session data will reduce the memory load and improve the performance of the web server. Using Amazon RDS for MySQL DB instance to store the application data will provide a scalable, reliable, and managed database service. Option A is not optimal because it does not address the memory issue of the web server. Option C is not optimal because it does not provide a persistent storage for the application data. Option D is not optimal because it does not provide a high availability and durability for the session data.
References: Amazon ElastiCache, Amazon RDS

NEW QUESTION # 436
A developer wants to reduce risk when deploying a new version of an existing AWS Lambda function. To test the Lambda function, the developer needs to split the traffic between the existing version and the new version of the Lambda function.
Which solution will meet these requirements?

A. Create the new version of the Lambda function as a Lambda layer on the existing version. Configure the function to split the traffic between the two layers.
B. Create an Application Load Balancer (ALB) that uses the Lambda function as a target. Configure the ALB to split the traffic between the two versions of the Lambda function.
C. Configure a weighted routing policy in Amazon Route 53. Associate the versions of the Lambda function with the weighted routing policy.
D. Create a function alias. Configure the alias to split the traffic between the two versions of the Lambda function.

Answer: D

Explanation:
AWS Lambda supports versions and aliases to manage deployments safely. An alias is a named pointer to a specific function version (for example, prod # version 5). Importantly, Lambda aliases can be configured with routing configuration to split incoming invocation traffic between two versions. This enables canary or linear deployments where most traffic goes to the stable version and a small percentage goes to the new version for testing. If issues occur, the developer can quickly shift traffic back by updating the alias.
Option B is the native, simplest, and recommended solution for Lambda traffic shifting.
Option A is not correct because Route 53 weighted routing can split DNS queries between endpoints, but it does not natively target Lambda versions directly for most invocation patterns, and it's not the standard mechanism for Lambda version traffic shifting.
Option C is unnecessary and adds operational overhead. ALB can invoke Lambda targets, but splitting between Lambda versions is more naturally handled by aliases without provisioning and managing an ALB.
Option D misunderstands layers: layers are for dependencies/shared code, not for deploying new versions or traffic splitting.
Therefore, using a Lambda alias with weighted routing between versions meets the requirement.

NEW QUESTION # 437
A company wants to deploy and maintain static websites on AWS. Each website's source code is hosted in one of several version control systems, including AWS CodeCommit, Bitbucket, and GitHub.
The company wants to implement phased releases by using development, staging, user acceptance testing, and production environments in the AWS Cloud. Deployments to each environment must be started by code merges on the relevant Git branch. The company wants to use HTTPS for all data exchange. The company needs a solution that does not require servers to run continuously.
Which solution will meet these requirements with the LEAST operational overhead?

A. Host each website in AWS Elastic Beanstalk with multiple environments. Use the EB CLI to link each repository branch. Integrate AWS CodePipeline to automate deployments from version control code merges.
B. Host each website by using AWS Amplify with a serverless backend. Conned the repository branches that correspond to each of the desired environments. Start deployments by merging code changes to a desired branch.
C. Host each website in different Amazon S3 buckets for each environment. Configure AWS CodePipeline to pull source code from version control. Add an AWS CodeBuild stage to copy source code to Amazon S3.
D. Host each website on its own Amazon EC2 instance. Write a custom deployment script to bundle each website's static assets. Copy the assets to Amazon EC2. Set up a workflow to run the script when code is merged.

Answer: B

Explanation:
Explanation
AWS Amplify is a set of tools and services that enables developers to build and deploy full-stack web and mobile applications that are powered by AWS. AWS Amplify supports hosting static websites on Amazon S3 and Amazon CloudFront, with HTTPS enabled by default. AWS Amplify also integrates with various version control systems, such as AWS CodeCommit, Bitbucket, and GitHub, and allows developers to connect different branches to different environments. AWS Amplify automatically builds and deploys the website whenever code changes are merged to a connected branch, enabling phased releases with minimal operational overhead. Reference: AWS Amplify Console

NEW QUESTION # 438
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