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Amazon DVA-C02 (AWS Certified Developer - Associate) certification exam is designed to validate the skills and knowledge of individuals who develop and maintain applications on the AWS platform. AWS Certified Developer - Associate certification is intended for developers who have experience in designing and developing cloud-based applications, and who want to demonstrate their expertise in using AWS services to build scalable, reliable, and highly available applications.

Amazon AWS Certified Developer - Associate Sample Questions (Q833-Q838):

NEW QUESTION # 833
A developer is implementing a serverless application by using AWS CloudFormation to provision Amazon S3 web hosting. Amazon API Gateway, and AWS Lambda functions. The Lambda function source code is zipped and uploaded to an S3 bucket. The S3 object key of the zipped source code is specified in the Lambda resource in the CloudFormation template.
The developer notices that there are no changes in the Lambda function every time the CloudFormation stack is updated.
How can the developer resolve this issue?

Answer: A


NEW QUESTION # 834
A developer is building an ecommerce application that uses multiple AWS Lambda functions. Each function performs a specific step in a customer order workflow, such as order processing and inventory management.
The developer must ensure that the Lambda functions run in a specific order.
Which solution will meet this requirement with the LEAST operational overhead?

Answer: C

Explanation:
The requirement here is to ensure that Lambda functions are executed in a specific order. AWS Step Functions is a low-code workflow orchestration service that enables you to sequence AWS services, such as AWS Lambda, into workflows. It is purpose-built for situations like this, where different steps need to be executed in a strict sequence.
* AWS Step Functions: Step Functions allows developers to design workflows as state machines, where each state corresponds to a particular function. In this case, the developer can create a Step Functions state machine where each step (order processing, inventory management, etc.) is represented by a Lambda function.
* Operational Overhead: Step Functions have very low operational overhead because it natively handles retries, error handling, and function sequencing.
* Alternatives:
* Amazon SQS (Option A): While SQS can manage message ordering, it requires more manual handling of each step and the logic to sequentially invoke the Lambda functions.
* Amazon SNS (Option B): SNS is a pub/sub service and is not designed to handle sequences of Lambda executions.
* EventBridge (Option D): EventBridge Scheduler allows you to invoke Lambda functions based on scheduled times, but it doesn't directly support sequencing based on workflow logic.Therefore, AWS Step Functionsis the most appropriate solution due to its native orchestration capabilities and minimal operational complexity.


NEW QUESTION # 835
A company runs an AWS CodeBuild project on medium-sized Amazon EC2 instances. The company wants to cost optimize the project and reduce the provisioning time.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step
Option D: Set up Amazon S3 Caching for CodeBuild:
CodeBuild supports S3 caching to store intermediate build artifacts and dependencies. This reduces the time required to download dependencies during subsequent builds, effectively lowering costs and improving build performance.
By using S3 caching, developers can optimize costs without changing the compute type or adding complexity.
Why Other Options Are Incorrect:
Option A: CodeBuild does not have a "reserved capacity fleet" option.
Option B: AWS Lambda cannot be used as the compute mode for CodeBuild projects. CodeBuild uses its own managed build environments.
Option C: CodeBuild already operates on an on-demand basis, so this does not address the need for optimization or reduced provisioning time.
Reference:
AWS CodeBuild Caching Documentation


NEW QUESTION # 836
A stock trading company is developing a mobile app that provides near real-time market data and historical trading analytics to thousands of professional traders who make trades concurrently. The app needs to provide market data to traders in under 100 milliseconds. Historical analytics charts can take 2- 3 seconds to generate.
The app needs to be highly available and handle market events that cause sudden spikes in trading activity.
Some trades involve messages that are over 1 MB in size.
The company must provide equal market access to all traders. The company must ensure that all traders experience the same performance when they use the app.
Which solution will meet these requirements?

Answer: A

Explanation:
The correct answer is A because the workload needs shared, low-latency, highly available caching for all traders. ElastiCache Redis OSS in cluster mode distributes data across shards and supports read replicas, which improves read scalability and protects against node failure. Write-through caching keeps near real-time market data consistent in the cache as updates occur, giving all traders access to the same fresh data path instead of relying on device-local caches. Lazy loading with TTL is appropriate for historical analytics because those results can tolerate a few seconds of generation time and can be cached after first access. DynamoDB with DAX is weaker here because DynamoDB items have a 400 KB maximum size, while the scenario includes messages over 1 MB. Single-node Redis is not highly available.


NEW QUESTION # 837
A developer has deployed an AWS Lambda function that is subscribed to an Amazon Simple Notification Service {Amazon SNS) topic. The developer must implement a solution to add a record of each Lambda function invocation to an Amazon Simple Queue Service {Amazon SQS) queue.
Which solution will meet this requirement?

Answer: C


NEW QUESTION # 838
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