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The DVA-C02 exam covers a wide range of topics, including AWS core services, database technologies, application deployment, and security. DVA-C02 exam consists of 65 multiple-choice and multiple-response questions, and candidates have 130 minutes to complete it. To pass the exam, candidates must score 720 or higher out of a possible 1,000 points. Upon passing the exam, candidates receive an AWS Certified Developer – Associate certification, which is valid for three years. AWS Certified Developer - Associate certification demonstrates to employers and clients that the individual has the skills and knowledge necessary to develop and deploy applications on the AWS platform.

Passing the DVA-C02 Exam is a great achievement for any developer interested in working with AWS. It validates a candidate's ability to design, develop, and deploy cloud-based applications using AWS services and best practices, making them a valuable asset to any organization looking to leverage the power of AWS.

Amazon AWS Certified Developer - Associate Sample Questions (Q171-Q176):

NEW QUESTION # 171
A developer created a web API that receives requests by using an internet-facing Application Load Balancer (ALB) with an HTTPS listener. The developer configures an Amazon Cognito user pool and wants to ensure that every request to the API is authenticated through Amazon Cognito.
What should the developer do to meet this requirement?

Answer: D


NEW QUESTION # 172
A developer is writing an application that will provide data files to an external company. The external company needs to verify that the data is not modified in transit.
How can the developer use AWS KMS to prove the integrity of the transferred data?

Answer: D

Explanation:
To prove integrity (and authenticity) of data in transit, the correct cryptographic primitive is a digital signature. AWS KMS supports signing and verification operations using asymmetric KMS keys designed for signing (for example, RSA_SIGN_PSS, RSA_SIGN_PKCS1, or ECC_NIST_P256 key specs). The developer signs the data (or more commonly, a hash of the data) using the private key, and the external recipient verifies the signature using the corresponding public key. If the data is modified in transit, signature verification fails, proving the content was changed.
Option C exactly describes this model: sign with the private key, share the public key. The private key remains protected (ideally never leaving KMS). The public key can be distributed safely because it cannot be used to forge signatures.
Option A (encryption) provides confidentiality, not integrity proof to a third party, and sharing a symmetric encryption key is insecure and breaks key management principles.
Option B is incorrect because symmetric keys do not provide non-repudiation and generally require the verifier to possess the same secret key, which would allow the verifier to forge signatures too. While HMAC can validate integrity between trusted parties, it does not meet the typical "prove integrity" requirement to an external party without sharing a secret.
Option D is backward and insecure: you never share a private key.
Therefore, use an asymmetric KMS signing key to sign with the private key and provide the public key for verification.


NEW QUESTION # 173
An ecommerce application is running behind an Application Load Balancer. A developer observes some unexpected load on the application during non-peak hours. The developer wants to analyze patterns for the client IP addresses that use the application. Which HTTP header should the developer use for this analysis?

Answer: C

Explanation:
Explanation
The HTTP header that the developer should use for this analysis is the X-Forwarded-For header. This header contains the IP address of the client that made the request to the Application Load Balancer. The developer can use this header to analyze patterns for the client IP addresses that use the application. The other headers either contain information about the protocol, host, or port of the request, which are not relevant for the analysis.


NEW QUESTION # 174
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?

Answer: A

Explanation:
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.


NEW QUESTION # 175
A developer has built an application running on AWS Lambda using AWS Serverless Application Model (AWS SAM).
What is the correct sequence of steps to successfully deploy the application?

Answer: A


NEW QUESTION # 176
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