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Most Recent Amazon DVA-C02 Exam Dumps
Prepare for the Amazon AWS Certified Developer - Associate exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Amazon DVA-C02 exam and achieve success.
The questions for DVA-C02 were last updated on Apr 2, 2025.
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A developer is creating an AWS Lambda function. The Lambda function needs an external library to connect to a third-party solution The external library is a collection of files with a total size of 100 MB The developer needs to make the external library available to the Lambda execution environment and reduce the Lambda package space
Which solution will meet these requirements with the LEAST operational overhead?
Lambda Layers:These are designed to package dependencies that you can share across functions.
How to Use:
Create a layer, upload your 100MB library as a zip.
Attach the layer to your function.
In your function code, import the library from the standard layer path.
Lambda Layers:https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html
A developer is building an application that includes an AWS Lambda function that is written in .NET Core. The Lambda function's code needs to interact with Amazon DynamoDB tables and Amazon S3 buckets. The developer must minimize the Lambda function's deployment time and invocation duration.
Which solution will meet these requirements?
A developer wants to use an AWS AppSync API to invoke AWS Lambda functions to return dat
a. Some of the Lambda functions perform long-running processes. The AWS AppSync API needs to return responses immediately.
Which solution will meet these requirements with the LEAST operational overhead?
Step-by-Step Breakdown:
Requirement Summary:
AWS AppSync API needs to invoke Lambda functions
Some Lambda functions are long-running
AppSync should return immediately, minimizing operational overhead
**Option A: AppSync + Lambda as data source using Event Mode
Correct: AWS AppSync supports asynchronous (event) invocation of Lambda data sources using Event Mode.
Event Mode means:
AppSync invokes Lambda asynchronously
Immediately returns a response to the client (typically a predefined payload or null)
Ideal for fire-and-forget workloads or when the response is not immediately needed
Option B: Increase Lambda timeout
Incorrect: This keeps AppSync waiting.
Even with increased timeout, synchronous invocations would block AppSync responses.
Option C: SQS queue + polling Lambda
Possible but too complex for this use case.
Requires additional infrastructure: queue + mapping + custom logic.
Higher operational overhead compared to built-in AppSync Event Mode.
Option D: Enable caching in AppSync
Irrelevant: AppSync cache is for optimizing repeated read queries, not for async workflows.
A developer is building a new application on AWS. The application uses an AWS Lambda function that retrieves information from an Amazon DynamoDB table. The developer hard coded the DynamoDB table name into the Lambda function code. The table name might change over time. The developer does not want to modify the Lambda code if the table name changes.
Which solution will meet these requirements MOST efficiently?
The solution that will meet the requirements most efficiently is to create a Lambda environment variable to store the table name. Use the standard method for the programming language to retrieve the variable. This way, the developer can avoid hard-coding the table name in the Lambda function code and easily change the table name by updating the environment variable. The other options either involve storing the table name in a file, which is less efficient and secure than using an environment variable, or creating a global variable, which is not recommended as it can cause concurrency issues.
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:
Which techniques will help mitigate this exception? (Choose two.)
The response from the API call indicates that the ProvisionedThroughputExceededException exception has occurred. This exception means that the rate of incoming requests exceeds the throughput limit for one or more shards in a stream. To mitigate this exception, the developer can use one or more of the following techniques:
Implement retries with exponential backoff. This will introduce randomness in the retry intervals and avoid overwhelming the shards with retries.
Reduce the frequency and/or size of the requests. This will reduce the load on the shards and avoid throttling errors.
Increase the number of shards in the stream. This will increase the throughput capacity of the stream and accommodate higher request rates.
Use a PutRecord API instead of PutRecords. This will reduce the number of records per request and avoid exceeding the payload limit.
[ProvisionedThroughputExceededException - Amazon Kinesis Data Streams Service API Reference]
[Best Practices for Handling Kinesis Data Streams Errors]
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