The AWS DVA-C01 exam preparation guide is designed to provide candidates with necessary information about the AWS-CDA exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the AWS Certified Developer - Associate exam.
It is recommended for all the candidates to refer the DVA-C01 objectives and sample questions provided in this preparation guide. The AWS-CDA certification is mainly targeted to the candidates who want to build their career in Developer domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual AWS Developer Associate exam.
AWS DVA-C01 Exam Summary:
|AWS Developer Associate (AWS-CDA)|
|Exam Price||$150 USD|
|Number of Questions||65|
|Passing Score||720 / 1000|
|Recommended Training / Books||Developing on AWS|
|Schedule Exam||AWS Certification|
|Sample Questions||AWS DVA-C01 Sample Questions|
|Recommended Practice||AWS Certified Developer - Associate Practice Test|
- Deploy written code in AWS using existing CI/CD pipelines, processes, and patterns.
- Deploy applications using Elastic Beanstalk.
- Prepare the application deployment package to be deployed to AWS.
- Deploy serverless applications.
- Make authenticated calls to AWS services.
- Implement encryption using AWS services.
- Implement application authentication and authorization.
|Development with AWS Services||
- Write code for serverless applications.
- Translate functional requirements into application design.
- Implement application design into application code.
- Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI.
- Optimize application to best use AWS services and features.
- Migrate existing application code to run on AWS.
|Monitoring and Troubleshooting||
- Write code that can be monitored.
- Perform root cause analysis on faults found in testing or production.