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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Development with AWS Services	32%	- Application development and integration 1. Event-driven architectures with SNS/SQS 2. API Gateway and REST APIs - AWS core services development 1. Amazon S3 usage in applications 2. AWS Lambda functions development 3. Amazon DynamoDB integration patterns
Topic 2: Troubleshooting and Optimization	18%	- Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns - Monitoring and logging 1. Amazon CloudWatch metrics and logs
Topic 3: Deployment	24%	- CI/CD and deployment strategies 1. AWS CodePipeline workflows 2. AWS CodeBuild and CodeDeploy usage - Infrastructure as code 1. AWS CloudFormation templates
Topic 4: Security	26%	- Application authentication and authorization 1. Cognito user authentication 2. IAM roles and policies - Data security 1. Encryption using AWS KMS 2. Secure API access patterns

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Amazon AWS Certified Developer - Associate Sample Questions (Q249-Q254):

NEW QUESTION # 249
A developer is working on a web application that uses Amazon DynamoDB as its data store The application has two DynamoDB tables one table that is named artists and one table that is named songs The artists table has artistName as the partition key. The songs table has songName as the partition key and artistName as the sort key The table usage patterns include the retrieval of multiple songs and artists in a single database operation from the webpage. The developer needs a way to retrieve this information with minimal network traffic and optimal application performance.
Which solution will meet these requirements'?

A. Perform a BatchGetltem operation on the songs table that uses the songName/artistName keys. Perform a BatchGetltem operation on the artists table that uses artistName as the key.
B. Create a local secondary index (LSI) on the songs table that uses artistName as the partition key Perform a query operation for each artistName on the songs table that filters by the list of songName Perform a query operation for each artistName on the artists table
C. Perform a BatchGetltem operation that returns items from the two tables. Use the list of songName artistName keys for the songs table and the list of artistName key for the artists table.
D. Perform a Scan operation on each table that filters by the list of songName/artistName for the songs table and the list of artistName in the artists table.

Answer: C

Explanation:
* Scenario: Application needs to fetch songs and artists efficiently in a single operation.
* BatchGetItem: This DynamoDB operation retrieves multiple items across different tables based on their primary keys in a single request.
* Optimized for Request Batching: This approach reduces network traffic compared to performing multiple queries individually.
* Data Modeling: The songs table is designed appropriately for this access pattern using artistName as the sort key.

NEW QUESTION # 250
A company regularly receives route status updates from its delivery trucks as events in Amazon EventBridge. The company is building an API-based application in a VPC that will consume and process the events to create a delivery status dashboard. The API application must not be available by using public IP addresses because of security and compliance requirements. How should the company send events from EventBridge to the API application?

A. Create an AWS Lambda function that runs in the same VPC as the API application. Configure the function as an EventBridge target. Use the function to send events to the API.
B. Create an internet-facing Application Load Balancer (ALB) in front of the API application.
Associate a security group with rules that block access from all external sources except for EventBridge. Configure the ALB as an EventBridge target.
C. Create an internet-facing Network Load Balancer (NLB) in front of the API application. Associate a security group with rules that block access from all external sources except for EventBridge.
Configure the NLB as an EventBridge target.
D. Use the application API endpoint in the VPC as a target for EventBridge. Send events directly to the application API endpoint from EventBridge.

Answer: A

Explanation:
Running an AWS Lambda function within the same VPC ensures secure communication without exposing the API application to public IP addresses. The Lambda function can serve as a secure EventBridge target to send events to the API.

NEW QUESTION # 251
A developer at a company has created a containerized application to serve public reporting APIs.
The developer needs to migrate the application to run by using an Amazon ECS service.
However, the company does not want to manage the underlying hosts that run the application.
The developer must be able to monitor CPU and memory utilization of the application by using the Amazon CloudWatch console.
Which combination of actions will meet these requirements? (Choose two.)

A. Specify limits for the CPU field and the memory field of the task definition.
B. Configure the task definition to use an IAM role that has allow permissions for the cloudwatch:GetMetricData action.
C. Configure the ECS cluster instances to use an EC2 user data script. Set the Amazon ECS agent ECS_DISABLE_METRICS environment variable to false.
D. Write a script to publish a custom CloudWatch alarm for CPU utilization and memory utilization.
E. Specify FARGATE in the requiresCapabilities field of the task definition.

Answer: A,E

Explanation:
AWS Fargate lets the application run on Amazon ECS without managing underlying hosts, so the task definition must specify FARGATE as a required capability. To monitor CPU and memory utilization in the CloudWatch console, the task definition also needs CPU and memory values because ECS service utilization metrics are based on the resources defined for the task, and those metrics are automatically available for services running on Fargate.

NEW QUESTION # 252
A company is using Amazon OpenSearch Service to implement an audit monitoring system. A developer needs to create an AWS Cloudformation custom resource that is associated with an AWS Lambda function to configure the OpenSearch Service domain. The Lambda function must access the OpenSearch Service domain by using Open Search Service internal master user credentials.
What is the MOST secure way to pass these credentials to the Lambdas function?

A. Use CloudFoimalion to create an AWS Secrets Manager Secret. Use a CloudFormation dynamic reference to retrieve the secret's value for the OpenSearch Service domain's MasterUserOptions. Create an 1AM role that has the secrets manager. GetSecretvalue permission. Assign the role to the Lambda Function Store the secrets name as the Lambda function's environment variable. Resole the secret's value at runtime.
B. Use a CloudFormation parameter to pass the master user credentials at deployment to the OpenSearch Service domain's MasterUserOptions and the Lambda function's environment variable. Set the No Echo attenuate to true.
C. Use a CloudFormation parameter to pass the master user credentials at deployment to the OpenSearch Service domain's MasterUserOptions and to create a parameter. In AWS Systems Manager Parameter Store. Set the No Echo attribute to true. Create an 1AM role that has the ssm GetParameter permission.
Assign me role to the Lambda function. Store me parameter name as the Lambda function's environment variable. Resolve the parameter's value at runtime.
D. Use a CloudFormation parameter to pass the master uses credentials at deployment to the OpenSearch Service domain's MasterUserOptions and the Lambda function's environment varleWe Encrypt the parameters value by using the AWS Key Management Service (AWS KMS) encrypt command.

Answer: A

Explanation:
The solution that will meet the requirements is to use CloudFormation to create an AWS Secrets Manager secret. Use a CloudFormation dynamic reference to retrieve the secret's value for the OpenSearch Service domain's MasterUserOptions. Create an IAM role that has the secretsmanager:GetSecretValue permission.
Assign the role to the Lambda function. Store the secret's name as the Lambda function's environment variable. Resolve the secret's value at runtime. This way, the developer can pass the credentials to the Lambda function in a secure way, as AWS Secrets Manager encrypts and manages the secrets. The developer can also use a dynamic reference to avoid exposing the secret's value in plain text in the CloudFormation template. The other options either involve passing the credentials as plain text parameters, which is not secure, or encrypting them with AWS KMS, which is less convenient than using AWS Secrets Manager.
Reference: Using dynamic references to specify template values

NEW QUESTION # 253
An ecommerce company uses a set of AWS Lambda functions to process orders. The Lambda functions send logs to an Amazon CloudWatch Logs log group. The company observes timeout issues for one recently deployed processing function. The company needs to debug and identify the root cause of the timeout issue.
The Lambda function is already in production. The company wants to have a live feed of filtered logs that start with the word " ERROR " to identify the root cause of the issue. The company wants to review only relevant log lines in near real time. Which solution will meet these requirements?

A. Use Amazon Athena to query the log data that is stored in the Amazon CloudWatch log group.
B. Create an Amazon CloudWatch Logs subscription filter to a new log group. Apply a metric filter for " ERROR. "
C. Use the live tail feature in the Lambda console with a filter for " ERROR. "
D. Run an Amazon CloudWatch Logs Insights query with a filter expression after the function finishes running.

Answer: C

Explanation:
The correct answer is C because the requirement is for a live feed of log events in near real time , filtered to show only lines that begin with "ERROR." The live tail feature for AWS Lambda and CloudWatch Logs is specifically intended for this kind of operational debugging. It allows developers to watch logs as they are generated and apply filtering so they can focus only on relevant messages during active troubleshooting.
This is particularly suitable because the function is already in production , and the company wants immediate visibility into timeout-related issues without waiting for a full batch of logs to accumulate. With live tail and a filter expression for ERROR , the developer can observe only the important log lines as new invocations happen, which speeds up root-cause analysis.
Option A is not the best answer because CloudWatch Logs Insights is powerful for querying logs, but it is primarily used for searching and analyzing logs after they have been collected, not as a continuous near-real- time live stream. Option B is incorrect because a subscription filter is used to forward logs to another destination such as Lambda, Kinesis, or Firehose; it is not the simplest way to give an operator a live interactive filtered view. A metric filter also creates metrics from log patterns but does not present the actual live log lines for review. Option D is incorrect because Amazon Athena is not used directly for querying CloudWatch Logs in real-time operational troubleshooting.
Therefore, the best solution is to use live tail with an ERROR filter to inspect relevant Lambda log events as they occur.

NEW QUESTION # 254
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