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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Developer – Associate (DVA-C02) |
| Exam Number: | DVA-C02 |
| Exam Format: | Multiple response, Multiple choice |
| Available Languages: | Spanish (Latin America), German, Traditional Chinese, Portuguese (Brazil), Simplified Chinese, Korean, English, Japanese, French |
| Exam Duration: | 130 minutes |
| Related Certifications: | AWS Certified Solutions Architect – Associate AWS Certified Cloud Practitioner AWS Certified DevOps Engineer – Professional |
| Passing Score: | 720 (scaled score) |
| Exam Price: | USD 150 |
| Real Exam Qty: | 65 |
| Certificate Validity Period: | 3 years |
| Recommended Training: | AWS Skill Builder – Developer Learning Plan AWS Certified Developer – Associate Exam Guide |
| 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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The DVA-C02 Certification Exam consists of 65 multiple-choice and multiple-response questions that are to be completed in 130 minutes. DVA-C02 exam covers a range of topics, including AWS core services, database technologies, security and compliance, and deployment and monitoring. Candidates who pass the DVA-C02 exam demonstrate their ability to develop, deploy, and maintain applications using AWS services in a cost-effective, scalable, and reliable manner. AWS Certified Developer - Associate certification is suitable for developers, DevOps engineers, and solutions architects who want to advance their careers in cloud computing and demonstrate their expertise in AWS.
NEW QUESTION # 54
A company runs a new application on AWS Elastic Beanstalk. The company needs to deploy updates to the application. The updates must not cause any downtime for application users.
The deployment must forward a specified percentage of incoming client traffic to a new application version during an evaluation period.
Which deployment type will meet these requirements?
Answer: A
NEW QUESTION # 55
An developer is building a serverless application by using the AWS Serverless Application Model (AWS SAM). The developer is currently testing the application in a development environment. When the application is nearly finsihed, the developer will need to set up additional testing and staging environments for a quality assurance team.
The developer wants to use a feature of the AWS SAM to set up deployments to multiple environments.
Which solution will meet these requirements with the LEAST development effort?
Answer: B
Explanation:
The correct answer is A. Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --config-env flag that corresponds to the each environment.
A: Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --config-env flag that corresponds to the each environment. This is correct. This solution will meet the requirements with the least development effort, because it uses a feature of the AWS SAM CLI that supports a project-level configuration file that can be used to configure AWS SAM CLI command parameter values1. The configuration file can have multiple environments, each with its own set of parameter values, such as stack name, region, capabilities, and more2. The developer can use the --config-env option to specify which environment to use when deploying the application3. This way, the developer can avoid creating multiple templates or scripts, or manually overriding parameters for each environment.
B: Create additional AWS SAM templates for each testing and staging environment. Write a custom shell script that uses the sam deploy command and the --template-file flag to deploy updates to the environments.
This is incorrect. This solution will not meet the requirements with the least development effort, because it requires creating and maintaining multiple templates and scripts for each environment. This can introduce duplication, inconsistency, and complexity in the deployment process.
C: Create one AWS SAM configuration file that has default parameters. Perform updates to the testing and staging environments by using the -parameter-overrides flag in the AWS SAM CLI and the parameters that the updates will override. This is incorrect. This solution will not meet the requirements with the least development effort, because it requires manually specifying and overriding parameters for each environment every time the developer deploys the application. This can be error-prone, tedious, and inefficient.
D: Use the existing AWS SAM template. Add additional parameters to configure specific attributes for the serverless function and database table resources that are in each environment. Deploy updates to the testing and staging environments by using the sam deploy command. This is incorrect. This solution will not meet the requirements with the least development effort, because it requires modifying the existing template and adding complexity to the resource definitions for each environment. This can also make it difficult to manage and track changes across different environments.
References:
* 1: AWS SAM CLI configuration file - AWS Serverless Application Model
* 2: Configuration file basics - AWS Serverless Application Model
* 3: Specify a configuration file - AWS Serverless Application Model
NEW QUESTION # 56
A company is building an application for stock trading. The application needs sub-millisecond latency for processing trade requests. The company uses Amazon DynamoDB to store all the trading data that is used to process each trading request A development team performs load testing on the application and finds that the data retrieval time is higher than expected. The development team needs a solution that reduces the data retrieval time with the least possible effort.
Which solution meets these requirements'?
Answer: C
Explanation:
This solution will meet the requirements by using DynamoDB Accelerator (DAX), which is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10 times performance improvement - from milliseconds to microseconds - even at millions of requests per second. The developer can use DAX to cache the trading data that is used to process each trading request, which will reduce the data retrieval time with the least possible effort. Option A is not optimal because it will add local secondary indexes (LSIs) for the trading data, which may not improve the performance or reduce the latency of data retrieval, as LSIs are stored on the same partition as the base table and share the same provisioned throughput. Option B is not optimal because it will store the trading data in Amazon S3 and use S3 Transfer Acceleration, which is a feature that enables fast, easy, and secure transfers of files over long distances between S3 buckets and clients, not between DynamoDB and clients. Option C is not optimal because it will add retries with exponential backoff for DynamoDB queries, which is a strategy to handle transient errors by retrying failed requests with increasing delays, not by reducing data retrieval time.
NEW QUESTION # 57
A developer is creating an ecommerce workflow in an AWS Step Functions state machine that includes a HTTP Task state. The task passes shipping information and order details to an endpoint.
The developer needs to test the workflow to confirm that the HTTP headers and body are correct and that the responses meet expectations.
Answer: C
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
To confirm that the HTTP headers, body, and responses meet expectations, you need to test the specific HTTP Task state in isolation and inspect the details.
* Option A: TestState API with TRACE:
* The TestState API allows developers to test individual states in a state machine without executing the entire workflow.
* Setting the inspection level to TRACE provides detailed information about the HTTP request and response, including headers, body, and status codes.
* This option provides the precise and granular testing required to verify the HTTP Task functionality.
* Why Other Options Are Incorrect:
* Option B: The DEBUG inspection level provides less detailed information than TRACE and focuses on general debugging, not a detailed view of HTTP interactions.
* Option C: Step Functions does not have a "data flow simulator" to test individual tasks; this option is not valid.
* Option D: Changing the state machine's log level to ALL increases logging granularity for the entire state machine but does not allow isolated testing of a specific HTTP Task.
References:
AWS Step Functions: Testing State Machines
NEW QUESTION # 58
A developer is building an application that stores sensitive user data. The application includes an Amazon CloudFront distribution and multiple AWS Lambda functions that handle user requests.
The user requests contain over 20 data fields. Each application transaction contains sensitive data that must be encrypted. Only specific parts of the application need to have the ability to decrypt the data.
Which solution will meet these requirements?
Answer: C
Explanation:
CloudFront supports field-level encryption, which allows you to encrypt specific parts of the request data (such as sensitive user data fields) before it is sent to the origin. By configuring CloudFront to use field-level encryption and integrating it with AWS KMS, you can securely encrypt sensitive data using KMS-managed keys and ensure that only specific parts of your application (such as your origin or Lambda functions) can decrypt the data. This solution is designed for handling sensitive data in a way that provides both security and flexibility, with KMS providing secure key management and encryption.
NEW QUESTION # 59
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