DVA-C02 Exam Questions & Answers
AWS Certified Developer - Associate • Amazon
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Sample DVA-C02 Questions
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A company is migrating its PostgreSQL database into the AWS Cloud. The company wants to use a database that will secure and regularly rotate database credentials. The company wants a solution that does not require additional programming overhead.
Which solution will meet these requirements?
This solution meets the requirements because it uses a PostgreSQL-compatible database that can secure and regularly rotate database credentials without requiring additional programming overhead. Amazon Aurora PostgreSQL is a relational database service that is compatible with PostgreSQL and offers high performance, availability, and scalability. AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. You can store database credentials in AWS Secrets Manager and use them to access your Aurora PostgreSQL database. You can also enable automatic rotation of your secrets according to a schedule or an event. AWS Secrets Manager handles the complexity of rotating secrets for you, such as generating new passwords and updating your database with the new credentials. Using Amazon DynamoDB for the database will not meet the requirements because it is a NoSQL database that is not compatible with PostgreSQL. Using AWS Systems Manager Parameter Store for storing and rotating database credentials will require additional programming overhead to integrate with your database.
A developer created an AWS Lambda function to process data in an application. The function pulls large objects from an Amazon S3 bucket, processes the data, and loads the processed data into a second S3 bucket. Application users have reported slow response times. The developer checks the logs and finds that Lambda function invocations run much slower than expected. The function itself is simple and has a small deployment package. The function initializes quickly. The developer needs to improve the performance of the application. Which solution will meet this requirement with the LEAST operational overhead?
Configuring the Lambda function to use ephemeral storage and processing data in the /tmp directory improves performance by leveraging local storage during execution.
Why Option C is Correct:
Ephemeral Storage: Lambda provides temporary storage (up to 10 GB) in the /tmp directory for each invocation, which is faster than pulling data directly from S3 multiple times.
Performance Boost: Data can be downloaded to /tmp, processed locally, and uploaded to the destination S3 bucket, minimizing S3 network calls.
Low Overhead: This approach requires only minimal changes to the function's configuration.
Why Not Other Options:
Option A: Using Amazon EFS adds complexity and is unnecessary for this use case.
Option B: Scheduling the function does not address the root cause of slow performance.
Option D: Lambda layers improve deployment efficiency, not runtime performance for this scenario.
Using Ephemeral Storage in AWS Lambda
Best Practices for S3 and Lambda Performance
A developer is monitoring an application that runs on an Amazon EC2 Instance. The developer has configured a custom Amazon CloudWatch metric with data granularity of 1 second. It any issues occur, the developer wants to be notified within 30 seconds by Amazon Simple Notification Service (Amazon SNS).
What should the developer do to meet this requirement?
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?
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.
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
A developer is using an AWS Lambda function to generate avatars for profile pictures that are uploaded to an Amazon S3 bucket. The Lambda function is automatically invoked for profile pictures that are saved under the /original/ S3 prefix. The developer notices that some pictures cause the Lambda function to time out. The developer wants to implement a fallback mechanism by using another Lambda function that resizes the profile picture.
Which solution will meet these requirements with the LEAST development effort?
The solution that will meet the requirements with the least development effort is to set the image resize Lambda function as a destination of the avatar generator Lambda function for the events that fail processing. This way, the fallback mechanism is automatically triggered by the Lambda service without requiring any additional components or configuration. The other options involve creating and managing additional resources such as queues, topics, state machines, or rules, which would increase the complexity and cost of the solution.
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