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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Infrastructure as code 1. AWS CloudFormation templates - CI/CD and deployment strategies 1. AWS CodePipeline workflows 2. AWS CodeBuild and CodeDeploy usage
Topic 2: Development with AWS Services	32%	- AWS core services development 1. Amazon DynamoDB integration patterns 2. Amazon S3 usage in applications 3. AWS Lambda functions development - Application development and integration 1. Event-driven architectures with SNS/SQS 2. API Gateway and REST APIs
Topic 3: Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Encryption using AWS KMS 2. Secure API access patterns
Topic 4: Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns

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Amazon AWS Certified Developer - Associate Sample Questions (Q81-Q86):

NEW QUESTION # 81
A company hosts a stateless web application with low data storage in a single AWS Region. The company wants to increase the resiliency of the application to include a multi-Region presence. The company wants to set the recovery time objective (RTO) and recovery point objective (RPO) to hours. The company needs a low-cost and low-complexity disaster recovery (DR) strategy.
Which DR strategy should the company use?

A. Warm standby
B. Backup and restore
C. Pilot light
D. Multi-site active-active

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option B is Correct:The pilot light strategy keeps a minimal version of the environment in another Region and scales up during a disaster. It achieves an RTO and RPO of hours at a low cost and complexity.
* Why Other Options are Incorrect:
* Option A: Warm standby is more expensive as it keeps a scaled-down, fully functioning version running in another Region.
* Option C: Backup and restore has a longer RTO and RPO than hours.
* Option D: Multi-site active-active is costly and more complex than required.
* AWS Documentation References:
* Disaster Recovery Strategies on AWS

NEW QUESTION # 82
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. Use a PutRecord API instead of PutRecords.
B. Use Amazon SNS instead of Kinesis.
C. Reduce the frequency and/or size of the requests.
D. Reduce the number of KCL consumers.
E. Implement retries with exponential backoff.

Answer: C,E

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 # 83
A company has deployed infrastructure on AWS. A development team wants to create an AWS Lambda function that will retrieve data from an Amazon Aurora database. The Amazon Aurora database is in a private subnet in company's VPC. The VPC is named VPC1. The data is relational in nature. The Lambda function needs to access the data securely.
Which solution will meet these requirements?

A. Create the Lambda function. Configure VPC1 access for the function. Attach a security group named SG1 to both the Lambda function and the database. Configure the security group inbound and outbound rules to allow TCP traffic on Port 3306.
B. Export the data from the Aurora database to Amazon S3. Create and launch a Lambda function in VPC1. Configure the Lambda function query the data from Amazon S3.
C. Create the Lambda function. Configure VPC1 access for the function. Assign a security group named SG1 to the Lambda function. Assign a second security group named SG2 to the database. Add an inbound rule to SG1 to allow TCP traffic from Port 3306.
D. Create and launch a Lambda function in a new public subnet that is in a new VPC named VPC2. Create a peering connection between VPC1 and VPC2.

Answer: D

NEW QUESTION # 84
A developer is updating an Amazon API Gateway REST API to have a mock endpoint. The developer wants to update the integration request mapping template so the endpoint will respond to mock integration requests with specific HTTP status codes based on various conditions.

A. { if( $context.integration.status ) "statusCode": 200 else "statusCode": 500 end }
B. { if( $input.params('integration') == "mock" ) "statusCode": 404 else "statusCode": 500 end }
C. { if( $input.path("integration") ) "statusCode": 200 else "statusCode":404 end }
D. { if( $input.params('scope') == "internal" ) "statusCode": 200 else "statusCode": 500 end }

Answer: A

Explanation:
Comprehensive Detailed Step by Step Explanation with All AWS Developer References:
In this scenario, the developer is configuring a mock integration in API Gateway. The integration request mapping template allows you to map the incoming request data to a format that the API expects. For mock integration, it's common to return specific HTTP status codes based on the conditions.
* Using $context.integration.status: The $context.integration.status variable refers to the status of the API Gateway integration, which is useful for generating responses based on the condition. Option D correctly uses this variable to determine the HTTP status code, returning 200 for a successful mock request or 500 for a failure.
* Alternatives:
* Options A, B, and C do not use the correct context variables for handling mock integrations.
These options would not return the correct status codes based on the actual integration status.
API Gateway Mapping Templates and Accessing Context Variables

NEW QUESTION # 85
A development team wants to immediately build and deploy an application whenever there is a change to the source code.
Which approaches could be used to trigger the deployment? (Choose two.)

A. Store the source code in an encrypted Amazon EBS volume. Configure AWS CodePipeline to start whenever a file in the volume changes.
B. Store the source code in an Amazon S3 bucket. Configure AWS CodePipeline to start whenever a file in the bucket changes.
C. Store the source code in an Amazon S3 bucket. Configure AWS CodePipeline to start every 15 minutes.
D. Store the source code in an AWS CodeCommit repository. Configure AWS CodePipeline to start whenever a change is committed to the repository.
E. Store the source code in an Amazon EC2 instance's ephemeral storage. Configure the instance to start AWS CodePipeline whenever there are changes to the source code.

Answer: B,D

NEW QUESTION # 86
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