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Amazon DVA-C02 is an official certification exam provided by Amazon Web Services (AWS) that validates one's technical knowledge and expertise in developing and deploying applications on the AWS platform. DVA-C02 exam is designed for developers who have at least one year of hands-on experience with AWS services and are familiar with the core AWS services, as well as the best practices for developing, deploying, and debugging applications on AWS.

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The DVA-C02 Exam covers a wide range of topics related to AWS development, including AWS core services such as EC2, S3, and RDS, as well as AWS developer tools like AWS CodeDeploy, AWS CodePipeline, and AWS CloudFormation. Additionally, the exam tests candidates on their knowledge of programming languages commonly used in AWS development, such as Python, Java, and Node.js.

Amazon AWS Certified Developer - Associate Sample Questions (Q73-Q78):

NEW QUESTION # 73
A developer wants to insert a record into an Amazon DynamoDB table as soon as a new file is added to an Amazon S3 bucket.
Which set of steps would be necessary to achieve this?

A. Configure an S3 event to invoke an AWS Lambda function that inserts records into DynamoDB.
B. Create a cron job that will run at a scheduled time and insert the records into DynamoDB.
C. Create an event with Amazon EventBridge that will monitor the S3 bucket and then insert the records into DynamoDB.
D. Create an AWS Lambda function that will poll the S3 bucket and then insert the records into DynamoDB.

Answer: A

Explanation:
Explanation
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. AWS Lambda is a service that lets developers run code without provisioning or managing servers.
The developer can configure an S3 event to invoke a Lambda function that inserts records into DynamoDB whenever a new file is added to the S3 bucket. This solution will meet the requirement of inserting a record into DynamoDB as soon as a new file is added to S3.
References:
[Amazon Simple Storage Service (S3)]
[Amazon DynamoDB]
[What Is AWS Lambda? - AWS Lambda]
[Using AWS Lambda with Amazon S3 - AWS Lambda]

NEW QUESTION # 74
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.)

A. Implement retries with exponential backoff.
B. Reduce the number of KCL consumers.
C. Use a PutRecord API instead of PutRecords.
D. Reduce the frequency and/or size of the requests.
E. Use Amazon SNS instead of Kinesis.

Answer: A,D

Explanation:
Explanation
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.
References:
[ProvisionedThroughputExceededException - Amazon Kinesis Data Streams Service API Reference]
[Best Practices for Handling Kinesis Data Streams Errors]

NEW QUESTION # 75
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?

A. Define an array that includes the environment variables under the environment parameter within the service definition.
B. Define an array that includes the environment variables under the entryPoint parameter within the service definition.
C. Define an array that includes the environment variables under the environment parameter within the task definition.
D. Define an array that includes the environment variables under the entryPoint parameter within the task definition.

Answer: C

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 # 76
A company uses more than 100 AWS Lambda functions to handle application services. One Lambda function is critical and must always run successfully. The company notices that occasionally, the critical Lambda function does not initiate. The company investigates the issue and discovers instances of the Lambda TooManyRequestsException: Rate Exceeded error in Amazon CloudWatch logs. Upon further review of the logs, the company notices that some of the non-critical functions run properly while the critical function fails. A developer must resolve the errors and ensure that the critical Lambda function runs successfully. Which solution will meet these requirements with the LEAST operational overhead?

A. Configure CloudWatch alarms for TooManyRequestsException errors. Add the critical Lambda function as an alarm state change action to invoke the critical function again after a failure.
B. Configure provisioned concurrency for the critical Lambda function. Set provisioned concurrent executions to the appropriate level.
C. Configure reserved concurrency for the critical Lambda function. Set reserved concurrent executions to the appropriate level.
D. Configure CloudWatch alarms for TooManyRequestsException errors. Add Amazon EventBridge as an action for the alarm state change. Use EventBridge to invoke the critical function again after a failure.

Answer: C

Explanation:
Reserved concurrency guarantees a specific number of concurrent executions for a critical Lambdafunction.
This ensures that the critical function always has sufficient resources to execute, even if other functions are consuming concurrency.
Why Option A:
* Ensures Function Availability: Reserved concurrency isolates the critical Lambda function from other functions.
* Low Overhead: Configuring reserved concurrency is straightforward and requires minimal setup.
Why Not Other Options:
* Option B: Provisioned concurrency is ideal for reducing cold starts, not for managing execution limits.
* Option C & D: Alarms and re-invocation mechanisms add complexity without resolving the root cause.

NEW QUESTION # 77
A company has deployed an application on AWS Elastic Beanstalk. The company has configured the Auto Scaling group that is associated with the Elastic Beanstalk environment to have five Amazon EC2 instances. If the capacity is fewer than four EC2 instances during the deployment, application performance degrades. The company is using the all-at-once deployment policy. What is the MOST cost-effective way to solve the deployment issue?

A. Change the Auto Scaling group to six desired instances.
B. Change the deployment policy to rolling. Specify a batch size of 2.
C. Change the deployment policy to rolling with additional batch. Specify a batch size of 1.
D. Change the deployment policy to traffic splitting. Specify an evaluation time of 1 hour.

Answer: C

Explanation:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version-deploy.html

NEW QUESTION # 78
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