Valid DVA-C02 Exam Guide & DVA-C02 Simulation Questions

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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security26%- Application authentication and authorization
  • 1. IAM roles and policies
    • 2. Cognito user authentication
      - Data security
      • 1. Secure API access patterns
        • 2. Encryption using AWS KMS
          Topic 2: Deployment24%- Infrastructure as code
          • 1. AWS CloudFormation templates
            - CI/CD and deployment strategies
            • 1. AWS CodePipeline workflows
              • 2. AWS CodeBuild and CodeDeploy usage
                Topic 3: Development with AWS Services32%- Application development and integration
                • 1. API Gateway and REST APIs
                  • 2. Event-driven architectures with SNS/SQS
                    - AWS core services development
                    • 1. Amazon S3 usage in applications
                      • 2. Amazon DynamoDB integration patterns
                        • 3. AWS Lambda functions development
                          Topic 4: Troubleshooting and Optimization18%- Performance optimization
                          • 1. Application performance tuning
                            • 2. Fault tolerance and resilience patterns
                              - Monitoring and logging
                              • 1. Amazon CloudWatch metrics and logs

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                                Amazon AWS Certified Developer - Associate Sample Questions (Q151-Q156):

                                NEW QUESTION # 151
                                An application development team decides to use AWS X-Ray to monitor application code to analyze performance and perform root cause analysis.
                                What does the team need to do to begin using X-Ray? (Select TWO.)

                                Answer: A,D

                                Explanation:
                                To begin using AWS X-Ray, the team must (1) instrument the application to emit trace segments
                                /subsegments and (2) ensure there is a component that can send trace data to the X-Ray service.
                                Instrumenting code is typically done with the AWS X-Ray SDK (language-specific). This adds tracing to inbound requests and downstream calls, creates segments/subsegments, and attaches annotations/metadata.
                                That corresponds to Option C.
                                For many compute environments (especially EC2, ECS on EC2, and on-prem servers), the application sends trace data via the X-Ray daemon/agent running locally. The daemon batches segments and forwards them to the X-Ray service endpoint. That corresponds to Option D.
                                Option B is helpful after traces exist (using the X-Ray console or CloudWatch ServiceLens), but it is not a prerequisite to "begin using" X-Ray.
                                Option A is unrelated. X-Ray does not require SQS for instrumentation output.
                                Option E is incorrect because X-Ray stores trace data in its managed backend; you do not create a DynamoDB table for trace logs.
                                Therefore, the team needs to instrument the code with the X-Ray SDK and install/run the X-Ray agent
                                /daemon on the servers where the application runs.


                                NEW QUESTION # 152
                                A development team is creating a serverless application that uses AWS Lambda functions. The team wants to streamline a testing workflow by sharing test events across multiple developers within the same AWS account. The team wants to ensure all developers can use consistent test events without compromising security.

                                Answer: B

                                Explanation:
                                Comprehensive and Detailed Step-by-Step Explanation:
                                * Option A: Use Amazon S3 for Shared Test Events:
                                * Storing JSON test event files in an S3 bucket provides a centralized, cost-effective, and highly available solution.
                                * Granular IAM policies can restrict access to specific developers or roles, ensuring security while maintaining consistency for shared test events.
                                * This solution has minimal operational overhead and integrates easily with existing workflows.
                                * Why Other Options Are Incorrect:
                                * Option B: Using DynamoDB and a Lambda function introduces unnecessary complexity for a relatively simple requirement. S3 provides a simpler and more cost-efficient solution.
                                * Option C: AWS Lambda test events are not inherently shareable across developers, making this option invalid.
                                * Option D: Using a Git repository adds operational overhead and requires developers to clone
                                /update repositories for access, which is more cumbersome compared to S3.
                                References:
                                * Amazon S3 for Centralized Storage


                                NEW QUESTION # 153
                                A developer is building an ecommerce application that uses AWS Lambda functions. Each Lambda function performs a specific step in a customer order workflow, such as order processing and inventory management.
                                The developer must ensure that the Lambda functions run in a specific order.
                                Which solution will meet this requirement with the LEAST operational overhead?

                                Answer: D

                                Explanation:
                                When multiple Lambda functions must execute in a defined sequence as part of a workflow (order processing
                                # payment # inventory # fulfillment, etc.), the AWS service designed to coordinate and orchestrate serverless workflows is AWS Step Functions.
                                Option C is the least operational overhead because Step Functions provides a managed state machine that invokes Lambda functions in an explicit order with built-in support for retries, timeouts, error handling, branching, and state passing between steps. The developer defines the workflow declaratively (Amazon States Language) and Step Functions ensures the sequence is enforced consistently.
                                Option A (SQS) is not a workflow orchestrator. Ensuring strict sequencing would require custom coordination logic, state tracking, and careful handling of retries and ordering-more code and complexity (and standard SQS does not guarantee strict order).
                                Option B (SNS) fans out events and is not designed for sequential orchestration.
                                Option D (EventBridge Scheduler) can schedule invocations at times, but it does not coordinate multi-step workflows with dependencies and conditional transitions.


                                NEW QUESTION # 154
                                An application that is hosted on an Amazon EC2 instance needs access to files that are stored in an Amazon S3 bucket. The application lists the objects that are stored in the S3 bucket and displays a table to the user. During testing, a developer discovers that the application does not show any objects in the list.
                                What is the MOST secure way to resolve this issue?

                                Answer: B

                                Explanation:
                                IAM instance profiles are containers for IAM roles that can be associated with EC2 instances. An IAM role is a set of permissions that grant access to AWS resources. An IAM role can be used to allow an EC2 instance to access an S3 bucket by including the appropriate permissions in the role's policy. The S3:ListBucket permission allows listing the objects in an S3 bucket. By updating the IAM instance profile with this permission, the application on the EC2 instance can retrieve the objects from the S3 bucket and display them to the user. Reference: Using an IAM role to grant permissions to applications running on Amazon EC2 instances


                                NEW QUESTION # 155
                                A developer needs to deploy an application running on AWS Fargate using Amazon ECS The application has environment variables that must be passed to a container for the application to initialize.
                                How should the environment variables be passed to the container?

                                Answer: D

                                Explanation:
                                Explanation
                                This solution allows the environment variables to be passed to the container when it is launched by AWS Fargate using Amazon ECS. The task definition is a text file that describes one or more containers that form an application. It contains various parameters for configuring the containers, such as CPU and memory requirements, network mode, and environment variables. The environment parameter is an array of key-value pairs that specify environment variables to pass to a container. Defining an array that includes the environment variables under the entryPoint parameter within the task definition will not pass them to the container, but use them as command-line arguments for overriding the default entry point of a container. Defining an array that includes the environment variables under the environment or entryPoint parameter within the service definition will not pass them to the container, but cause an error because these parameters are not valid for a service definition.


                                NEW QUESTION # 156
                                ......

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