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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Developer – Associate (DVA-C02) |
| Exam Number: | DVA-C02 |
| Real Exam Qty: | 65 |
| Available Languages: | French, Simplified Chinese, Traditional Chinese, English, Korean, Spanish (Latin America), Portuguese (Brazil), German, Japanese |
| Exam Duration: | 130 minutes |
| Passing Score: | 720 (scaled score) |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 150 |
| Exam Format: | Multiple response, Multiple choice |
| Related Certifications: | AWS Certified DevOps Engineer – Professional AWS Certified Solutions Architect – Associate AWS Certified Cloud Practitioner |
| Recommended Training: | AWS Certified Developer – Associate Exam Guide AWS Skill Builder – Developer Learning Plan |
| Exam Registration: | Pearson VUE AWS Exams AWS Certification Official Registration |
| Sample Questions: | Amazon DVA-C02 Sample Questions |
| Exam Way: | Online proctored exam via Pearson VUE or in-person at authorized testing centers |
| Pre Condition: | No mandatory prerequisites. Recommended: 1+ year of hands-on experience developing and maintaining AWS-based applications. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-developer-associate/ |
If you're looking to advance your Amazon career, Amazon DVA-C02 Exam can help you achieve that goal. This certification exam is essential to assist professionals in every aspect of their field. However, studying for the exam can be challenging, and finding reliable study materials can be difficult. This is where It-Tests comes in.
Amazon DVA-C02 (AWS Certified Developer - Associate) exam is a certification exam designed for developers who work with Amazon Web Services (AWS). DVA-C02 exam validates a developer's ability to design, develop, and deploy cloud-based solutions using AWS services. It is intended for individuals who have experience in developing and maintaining AWS-based applications.
NEW QUESTION # 437
A company is expanding the compatibility of its photo-snaring mobile app to hundreds of additional devices with unique screen dimensions and resolutions. Photos are stored in Amazon S3 in their original format and resolution. The company uses an Amazon CloudFront distribution to serve the photos The app includes the dimension and resolution of the display as GET parameters with every request.
A developer needs to implement a solution that optimizes the photos that are served to each device to reduce load time and increase photo quality.
Which solution will meet these requirements MOST cost-effective?
Answer: C
Explanation:
This solution meets the requirements most cost-effectively because it optimizes the photos on demand and caches them for future requests. Lambda@Edge allows the developer to run Lambda functions at AWS locations closer to viewers, which can reduce latency and improve photo quality. The developer can create a Lambda@Edge function that uses the GET parameters from each request to optimize the photos with the required dimensions and resolutions and returns them as a response. The function can also store a copy of the processed photos on Amazon S3 for subsequent requests, which can reduce processing time and costs. Using S3 Batch Operations to create new variants of the photos will incur additional storage costs and may not cover all possible dimensions and resolutions. Creating a dynamic CloudFront origin or a Lambda@Edge function to route requests to corresponding photo variants will require maintaining a mapping of device types and photo variants, which can be complex and error-prone.
Reference: [Lambda@Edge Overview], [Resizing Images with Amazon CloudFront & Lambda@Edge]
NEW QUESTION # 438
A developer is creating a video search application for a global company. The video files have an average size of 2.5 TB. The video storage system must provide instant access to the video files for the first 90 days. After the first 90 days, the video files can take more than 10 minutes to load. Which solution will meet these requirements MOST cost-effectively?
Answer: A
Explanation:
S3 Glacier Instant Retrieval is designed for long-lived data that is rarely accessed but requires millisecond retrieval when needed (meeting the " instant access " requirement for the first 90 days). After 90 days, moving to S3 Glacier Flexible Retrieval (formerly Standard) is more cost-effective because it has lower storage costs, though it has retrieval times of minutes to hours (meeting the " more than 10 minutes " requirement).
NEW QUESTION # 439
A company has an application that runs on Amazon EC2 instances. The application needs to use dynamic feature flags that will be shared with other applications. The application must poll on an interval for new feature flag values. The values must be cached when they are retrieved.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: A
Explanation:
Feature flags are a classic configuration-management use case: values change over time, multiple applications share them, and clients should retrieve updates efficiently with local caching. AWS AppConfig (part of AWS Systems Manager) is purpose-built to deploy and manage application configuration and feature flags. It provides controlled rollout, validation, and centralized configuration management. For operational efficiency, AWS offers the AWS AppConfig Agent for compute environments such as EC2.
With option C, the AppConfig Agent runs on each EC2 instance and polls AppConfig on a configured interval for updates. The agent maintains a local cache and exposes the current configuration through a localhost HTTP endpoint. The application then reads the feature flag values from the local endpoint, which is fast and reduces direct calls to AWS APIs. This meets both requirements: periodic polling for new values and caching once retrieved, while minimizing application changes and centralizing operational control in AppConfig.
Option D (Parameter Store + in-memory cache) can work, but it pushes more responsibility into each application: polling logic, caching behavior, error handling, and consistency. Option A misuses Secrets Manager (intended for secrets, not dynamic flags) and adds ElastiCache operational overhead. Option B similarly adds DAX and DynamoDB infrastructure and is not a standard feature-flag pattern; it also requires the app to implement polling and caching logic, reducing operational efficiency.
Therefore, C is the most operationally efficient solution: store flags in AWS AppConfig, run the AppConfig Agent on EC2 to handle polling and caching, and have the application read flags from the agent's localhost endpoint.
NEW QUESTION # 440
A company needs to harden its container images before the images are in a running state. The company's application uses Amazon Elastic Container Registry (Amazon ECR) as an image registry. Amazon Elastic Kubernetes Service (Amazon EKS) for compute, and an AWS CodePipeline pipeline that orchestrates a continuous integration and continuous delivery (CI/CD) workflow.
Dynamic application security testing occurs in the final stage of the pipeline after a new image is deployed to a development namespace in the EKS cluster. A developer needs to place an analysis stage before this deployment to analyze the container image earlier in the CI/CD pipeline.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: D
Explanation:
Explanation
The solution that will meet the requirements with the most operational efficiency is to create a new CodePipeline stage that occurs after the container image is built. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings. This way, the container image is analyzed earlier in the CI/CD pipeline and any vulnerabilities are detected and reported before deploying to the EKS cluster.
The other options either delay the analysis until after deployment, which increases the risk of exposing insecure images, or perform analysis on the source code instead of the container image, which may not capture all the dependencies and configurations that affect the security posture of the image.
NEW QUESTION # 441
A developer is designing a serverless application for a game in which users register and log in through a web browser The application makes requests on behalf of users to a set of AWS Lambda functions that run behind an Amazon API Gateway HTTP API The developer needs to implement a solution to register and log in users on the application's sign-in page. The solution must minimize operational overhead and must minimize ongoing management of user identities.
Which solution will meet these requirements'?
Answer: B
Explanation:
* Amazon Cognito User Pools: A managed user directory service, simplifying user registration and login.
* Social Identity Providers: Cognito supports integration with external providers (e.g., Google, Facebook), reducing development effort.
* IAM Roles for Authorization: Cognito-managed IAM roles grant fine-grained access to AWS resources (like Lambda functions).
* Operational Overhead: Cognito minimizes the need to manage user identities and credentials independently.
NEW QUESTION # 442
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