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Amazon DVA-C02 Exam Overview:

Certification Vendor:	Amazon AWS
Exam Name:	AWS Certified Developer - Associate
Exam Number:	DVA-C02
Exam Duration:	130 minutes
Certificate Validity Period:	3 years
Passing Score:	720 (scaled score 100–1000)
Exam Format:	Multiple-response, Multiple-choice
Real Exam Qty:	65 (50 scored, 15 unscored)
Exam Price:	150 USD
Available Languages:	Spanish (Latin America), English, Korean, Portuguese (Brazil), Japanese, Simplified Chinese
Related Certifications:	AWS Certified SysOps Administrator - Associate AWS Certified Solutions Architect - Associate
Recommended Training:	AWS Certified Developer - Associate Exam Prep AWS Skill Builder
Exam Registration:	Pearson VUE Registration AWS Certification Registration
Sample Questions:	Amazon DVA-C02 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE testing centers
Pre Condition:	Recommended: 1+ year of hands-on experience developing applications on AWS, familiarity with AWS core services, basic understanding of cloud architecture
Official Syllabus URL:	https://docs.aws.amazon.com/aws-certification/latest/developer-associate-02/developer-associate-02.html

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DVA-C02 시험은 어소시에이트 레벨 자격증으로, 후보자들은 AWS 서비스에 대한 좋은 이해력을 가져야 하며 AWS 최상의 실천 방법에 대한 지식을 증명할 수 있어야 합니다. 이 시험은 AWS 핵심 서비스, 보안 및 배포를 비롯한 다양한 주제를 다룹니다. 또한 스케일링 가능한 AWS 애플리케이션을 설계하고 개발하는 방법, 문제 해결 방법 및 애플리케이션 성능 최적화와 같은 주제도 다룹니다.

Amazon DVA-C02 시험 준비를 위해 후보자들은 AWS에서 애플리케이션 개발과 유지 관리 경력이 적어도 1년 이상 있어야 합니다. 또한 온라인 코스, 모의 시험 및 학습 가이드와 같은 AWS에서 제공하는 교육 및 자원을 활용할 수 있습니다. Amazon DVA-C02 시험 합격을 위해서는 1000점 만점 중 720점 이상의 점수가 필요하며, 자격증은 2년간 유효합니다. 전반적으로 Amazon DVA-C02 자격증은 클라우드 컴퓨팅 분야에서 경력을 쌓고 AWS 전문성을 증명하고자 하는 개발자들에게 귀중한 자격증입니다.

Amazon DVA-C02 (AWS 인증 개발자 - 어소시에이트) 자격증 시험은 AWS 플랫폼에서 애플리케이션을 개발하고 유지 관리하는 개인의 기술과 지식을 검증하기 위해 설계되었습니다. 이 자격증은 클라우드 기반 애플리케이션을 디자인하고 개발하는 경험이 있는 개발자들을 대상으로 하며, AWS 서비스를 사용하여 확장 가능하고 신뢰성이 높으며 고가용성 애플리케이션을 구축하는 데 있어서 전문성을 입증하고자 하는 개발자들을 위해 고안되었습니다.

최신 AWS Certified Associate DVA-C02 무료샘플문제 (Q355-Q360):

질문 # 355
A company has an application that is based on Amazon EC2. The company provides API access to the application through Amazon API Gateway and uses Amazon DynamoDB to store the application's data. A developer is investigating performance issues that are affecting the application. During peak usage, the application is overwhelmed by a large number of identical data read requests that come through APIs. What is the MOST operationally efficient way for the developer to improve the application's performance?

A. Enable API Gateway caching to cache API responses.
B. Configure Amazon EC2 Auto Scaling policies to meet fluctuating demand.
C. Use Amazon ElastiCache to cache application responses.
D. Use DynamoDB Accelerator (DAX) to cache database responses.

정답：D

설명：
DynamoDB Accelerator (DAX) provides a managed caching layer specifically optimized for DynamoDB, reducing latency for repeated read requests.
* Why Option A is Correct:
* Purpose-Built: DAX is designed for DynamoDB, enabling sub-millisecond response times for frequently accessed items.
* Operational Efficiency: No need for additional application-level caching logic.
* Why Not Other Options:
* Option B: Auto Scaling increases capacity but does not address repetitive reads.
* Option C: API Gateway caching helps reduce request processing time but does not optimize DynamoDB reads.
* Option D: ElastiCache is a general-purpose cache, adding unnecessary complexity for DynamoDB use cases.
References:
* DynamoDB Accelerator (DAX)

질문 # 356
A developer maintains a critical business application that uses Amazon DynamoDB as the primary data store. The DynamoDB table contains millions of documents and receives 30-60 requests each minute. The developer needs to perform processing in near-real time on the documents when they are added or updated in the DynamoDB table.
How can the developer implement this feature with the LEAST amount of change to the existing application code?

A. Update the application to send a PutEvents request to Amazon EventBridge. Create an EventBridge rule to invoke an AWS Lambda function to process the documents.
B. Enable a DynamoDB stream on the table. Invoke an AWS Lambda function to process the documents.
C. Update the application to synchronously process the documents directly after the DynamoDB write.
D. Set up a cron job on an Amazon EC2 instance. Run a script every hour to query the table for changes and process the documents.

정답：B

설명：
Option B is the best solution because it proposes enabling a DynamoDB stream on the table, which allows the developer to capture document-level changes in near-real time without modifying the application code. Then, the stream can be configured to invoke an AWS Lambda function to process the documents in near-real time. This solution requires minimal changes to the existing application code, and the Lambda function can be developed and deployed separately, enabling the developer to easily maintain and update it as needed.

질문 # 357
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?

A. Create two AWS Lambda functions one to delete the items and one to process the items Create a DynamoDB stream Use the Deleteltem API operation to delete the items based on the expirationDate attribute Use the GetRecords API operation to get the items from the DynamoDB stream and process them
B. Create two AWS Lambda functions, one to delete the items and one to process the items. Create an Amazon EventBndge scheduled rule to invoke the Lambda Functions Use the Deleteltem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.
C. Enable TTL on the expirationDate attribute in the table Specify an Amazon Simple Queue Service (Amazon SQS> dead-letter queue as the target to delete the items Create an AWS Lambda function to process the items
D. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.

정답：D

설명：
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.
Reference:
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

질문 # 358
A developer is responsible for the performance of an AWS Lambda function that was written in the latest version of .NET. The Lambda function processes data in an Amazon S3 bucket sporadically throughout each day. The Lambda function processing workload experiences cold start times of up to 10 seconds. Other workloads that are dependent on the function are latency sensitive and are negatively affected by the workload. The developer needs to improve the performance of the Lambda function. Which solution will meet this requirement?

A. Add the Lambda function to a VPC. Configure an Amazon S3 gateway endpoint
B. Enable reserved concurrency on the function
C. Configure Lambda layers to separate .NET dependencies from Lambda code
D. Publish the function and create an alias. Enable Lambda SnapStart on the published function version

정답：D

설명：
Lambda SnapStart reduces cold-start latency by initializing the function when a version is published and caching an encrypted snapshot of the initialized execution environment.
Subsequent invocations restore from the snapshot, providing significantly faster startup for sporadically invoked .NET functions without continuously provisioned capacity.

질문 # 359
A software company is migrating a single-page application from on-premises servers to the AWS Cloud by using AWS Amplify Hosting. The application relies on an API that was created with an existing GraphQL schema. The company needs to migrate the API along with the application.
Which solution will meet this requirement with the LEAST amount of configuration?

A. Create a new API in AWS AppSync by using the existing schema. Use the Amplify CLI's amplify import api command. Select the API as the application's backend environment.
B. Create a new API by using the Amplify CLI's amplify import api command. Select REST as the service to use. Add the existing schema to the new API.
C. Create a new API in Amazon API Gateway by using the existing schema. Use the Amplify CLI's amplify add api command. Select the API as the application's backend environment.
D. Create a new API by using the Amplify CLI's amplify add api command. Select GraphQL as the service to use. Add the existing schema to the new API.

정답：D

설명：
AWS Amplify's most direct support for GraphQL APIs is through AWS AppSync, and the Amplify CLI can generate and configure an AppSync GraphQL API directly from a schema with minimal setup. The requirement says the API already has an existing GraphQL schema, and the goal is to migrate it with the least configuration effort.
Option D is the simplest: run amplify add api, choose GraphQL, and provide the existing schema. Amplify then provisions the AppSync API, sets up the schema, creates the backend resources (depending on chosen data sources), and wires the configuration into the Amplify project so the SPA can consume the API.
Option A is incorrect because it selects REST and does not align with an existing GraphQL schema.
Option B is incorrect because API Gateway is not the native GraphQL service and would require additional mapping/proxy logic-more configuration.
Option C can be valid if an AppSync API already exists and you want to import it, but the question asks to
"migrate the API along with the application" with least configuration. Creating it directly in Amplify is typically less configuration than creating separately and importing.
Therefore, using Amplify CLI to add a GraphQL API and supply the existing schema is the least-config approach.

질문 # 360
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