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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Developer – Associate (DVA-C02) |
| Exam Number: | DVA-C02 |
| Passing Score: | 720 (scaled score) |
| Related Certifications: | AWS Certified Solutions Architect – Associate AWS Certified DevOps Engineer – Professional AWS Certified Cloud Practitioner |
| Real Exam Qty: | 65 |
| Certificate Validity Period: | 3 years |
| Available Languages: | German, Portuguese (Brazil), Simplified Chinese, English, Traditional Chinese, Korean, French, Japanese, Spanish (Latin America) |
| Exam Duration: | 130 minutes |
| Exam Format: | Multiple choice, Multiple response |
| Exam Price: | USD 150 |
| 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/ |
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Amazon DVA-C02 Exam covers a range of topics related to AWS development, including AWS core services, security and compliance, development and deployment, and troubleshooting. Candidates must have a good understanding of AWS services such as EC2, S3, DynamoDB, and Elastic Beanstalk, as well as knowledge of programming languages such as Java, Python, and Node.js. Passing this certification exam demonstrates that the individual has the necessary skills to design and develop scalable, secure, and fault-tolerant applications on the AWS cloud platform.
NEW QUESTION # 509
A development team uses AWS CodeBuild as part of a CI/CD pipeline. The project includes hundreds of unit and integration tests, and total build time continues to increase. The team wants faster feedback and lower overall testing duration without managing additional infrastructure.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
AWS CodeBuild supports parallel test execution through batch builds and multiple compute environments.
This feature allows a single CodeBuild project to divide test workloads across multiple isolated environments that run concurrently. Each environment executes a subset of the test suite, significantly reducing total build time.
AWS documentation emphasizes using native CodeBuild capabilities to minimize operational complexity.
Parallel execution eliminates the need to manually manage infrastructure, test orchestration logic, or EC2 fleets. CodeBuild automatically provisions and terminates build environments, scales as needed, and integrates seamlessly with CI/CD pipelines.
Options A and D require manual coordination and infrastructure management, increasing operational overhead. Option C does not address the performance problem.
Therefore, using CodeBuild's parallel compute environments is the most efficient and AWS-recommended approach.
NEW QUESTION # 510
A company is running a custom application on a set of on-premises Linux servers that are accessed using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API test stage.
How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of configuration?
Answer: C
Explanation:
The X-Ray daemon is a software that collects trace data from the X-Ray SDK and relays it to the X-Ray service. The X-Ray daemon can run on any platform that supports Go, including Linux, Windows, and macOS. The developer can install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service with minimal configuration. The X-Ray SDK is used to instrument the application code, not to capture and relay data. The Lambda function solutions are more complex and require additional configuration.
Reference:
[AWS X-Ray concepts - AWS X-Ray]
[Setting up AWS X-Ray - AWS X-Ray]
NEW QUESTION # 511
A company runs an application on AWS The application stores data in an Amazon DynamoDB table Some queries are taking a long time to run These slow queries involve an attribute that is not the table's partition key or sort key The amount of data that the application stores in the DynamoDB table is expected to increase significantly. A developer must increase the performance of the queries.
Which solution will meet these requirements'?
Answer: C
Explanation:
* Global Secondary Index (GSI): GSIs enable alternative query patterns on a DynamoDB table by using different partition and sort keys.
* Addressing Query Bottleneck: By making the slow-query attribute the GSI's partition key, you optimize queries on that attribute.
* Scalability: GSIs automatically scale to handle increasing data volumes.
References:
Amazon DynamoDB Global Secondary Indexes: https://docs.aws.amazon.com/amazondynamodb/latest
/developerguide/GSI.html
NEW QUESTION # 512
A company has an Amazon S3 bucket containing premier content that it intends to make available to only paid subscribers of its website. The S3 bucket currently has default permissions of all objects being private to prevent inadvertent exposure of the premier content to non-paying website visitors.
How can the company limit the ability to download a premier content file in the S3 bucket to paid subscribers only?
Answer: D
Explanation:
By generating a pre-signed object URL for the main content file when a paid subscriber requests a download, the company can control who can download the file. The pre-signed object URL will be valid for a limited period of time and can only be used by the paid subscriber who requested the download.
NEW QUESTION # 513
A developer uses an AWS Lambda function to process video files. The input files are always between 4.5 GB and 5 GB in size. The output files are always between 1.5 GB and 2 GB in size.
The Lambda function has 8.000 MB of ephemeral storage. Both input and output files are written to /tmp on the Lambda function.
Sometimes the invocations result in an "[ERROR] OSError: [Error 28] No space left on device" error and a failed function execution.
The developer must prevent the error from occurring.
Which solution will meet this requirement?
Answer: A
Explanation:
The error [Error 28] No space left on device occurs because the total size of input (up to 5 GB) and output (up to 2 GB) files can exceed the 8,000 MB (≈7.8 GB) of ephemeral /tmp storage available to the Lambda function. To prevent this, increase the ephemeral storage to 10,240 MB (10 GB), which is the current maximum supported size, ensuring sufficient space for temporary file processing.
NEW QUESTION # 514
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