AWS Certified Developer - Associate study guide & DVA-C02 reliable questions & AWS Certified Developer - Associate pdf dumps

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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q331-Q336):

NEW QUESTION # 331
A developer is designing a mobile app for an ecommerce company. The app gives users the ability to place orders. The developer configures the app to store data in an Amazon DynamoDB table named Orders.
The app must validate orders and process payments. The app must minimize latency between services and minimize dependencies between functions. Each process must scale independently.
Which solution will meet these requirements?

A. Deploy the app on Amazon EC2 instances to receive orders and perform order validation, payment processing, and inventory management within a single code base.
B. Use an Amazon API Gateway API to receive order submissions. Configure Amazon EventBridge to route events to multiple AWS Lambda functions that performs order validation, payment processing, and inventory management.
C. Configure Amazon EC2 instances to run separate services to perform order validation, payment processing, and inventory management. Use Amazon SQS queues to handle communication between services.
D. Configure Amazon API Gateway APIs to directly invoke AWS Lambda functions to perform order validation, payment processing, and inventory management synchronously for each order processing step.

Answer: B

Explanation:
Using API Gateway to receive orders and EventBridge to route events asynchronously to independent Lambda functions allows each process (validation, payment, inventory) to scale separately, reduces dependencies, and minimizes latency via event-driven architecture.

NEW QUESTION # 332
A developer is modifying an existing AWS Lambda function. While checking the code, the developer notices hardcoded parameter values for an Amazon RDS for SQL Server user name, password, database, host, and port. There are also hardcoded parameter values for an Amazon DynamoDB table, an Amazon S3 bucket, and an Amazon Simple Notification Service (Amazon SNS) topic.
The developer wants to securely store the parameter values outside the code in an encrypted format and wants to turn on rotation for the credentials. The developer also wants to be able to reuse the parameter values from other applications and to update the parameter values without modifying code.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create RDS database parameters in AWS Systems Manager Parameter Store for the user name, password, database, host, and port. Store the DynamoDB table, S3 bucket, and SNS topic in Amazon S3. Create a Lambda function and set the logic for the credentials rotation. Invoke the Lambda function on a schedule.
B. Create an RDS database secret in AWS Secrets Manager. Set the user name, password, database, host, and port. Turn on secret rotation. Create SecureString parameters in AWS Systems Manager Parameter Store for the DynamoDB table, S3 bucket, and SNS topic.
C. Create RDS database parameters in AWS Systems Manager Parameter Store for the user name, password, database, host, and port. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic. Create a Lambda function and set the logic for the credentials rotation task. Schedule the credentials rotation task in Amazon EventBridge.
D. Create an RDS database secret in AWS Secrets Manager. Set the user name, password, database, host, and port. Turn on secret rotation. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic.

Answer: B

Explanation:
https://docs.aws.amazon.com/systems-manager/latest/userguide/integration-ps- secretsmanager.html

NEW QUESTION # 333
An organization is storing large files in Amazon S3, and is writing a web application to display meta-data about the files to end-users. Based on the metadata a user selects an object to download. The organization needs a mechanism to index the files and provide single-digit millisecond latency retrieval for the metadata.
What AWS service should be used to accomplish this?

A. Amazon DynamoDB
B. Amazon RDS
C. Amazon EC2
D. AWS Lambda

Answer: A

Explanation:
In this scenario, the metadata about the files can be stored in a DynamoDB table with a primary key based on the metadata attributes. This would enable the organization to quickly query and retrieve metadata about the files in real-time, with single-digit millisecond latency.

NEW QUESTION # 334
A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.
Which solution will meet these requirements?

A. Enable TTL on the expirationDate attribute in the table Specify an Amazon Simple Queue Service (Amazon SQS> dead-letter queue as the target to delete the items Create an AWS Lambda function to process the items
B. Create two AWS Lambda functions, one to delete the items and one to process the items. Create an Amazon EventBndge scheduled rule to invoke the Lambda Functions Use the Deleteltem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.
C. Create two AWS Lambda functions one to delete the items and one to process the items Create a DynamoDB stream Use the Deleteltem API operation to delete the items based on the expirationDate attribute Use the GetRecords API operation to get the items from the DynamoDB stream and process them
D. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.

Answer: D

Explanation:
* TTL for Automatic Deletion: DynamoDB's Time-to-Live effortlessly deletes expired items without manual intervention.
* DynamoDB Stream: Captures changes to the table, including deletions of expired items, triggering downstream actions.
* Lambda for Processing: A Lambda function connected to the stream provides custom logic for handling the deleted items.
* Code Efficiency: This solution leverages native DynamoDB features and stream-based processing, minimizing the need for custom code.
References:
DynamoDB TTL Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.
html
DynamoDB Streams Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide
/Streams.html

NEW QUESTION # 335
A company has an application that uses an Amazon API Gateway API to invoke an AWS Lambda function. The application is latency sensitive.
A developer needs to configure the Lambda function to reduce the cold start time that is associated with default scaling.
What should the developer do to meet these requirements?

A. Increase the Lambda function's memory to the maximum amount. Increase the Lambda function's reserved concurrency limit.
B. Use Service Quotas to request an increase in the Lambda function's concurrency limit for the AWS account where the function is deployed.
C. Increase the reserved concurrency of the Lambda function to a number that matches the current production load.
D. Publish a new version of the Lambda function. Configure provisioned concurrency. Set the provisioned concurrency limit to meet the company requirements.

Answer: D

NEW QUESTION # 336
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