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Amazon DVA-C02 Exam
- Topic 1: Optimize applications by using AWS services and features/ Develop code for AWS Lambda
- Topic 2: Implement encryption by using AWS services/ Deploy code by using AWS CI/CD services
- Topic 3: Implement authentication and/or authorization for applications and AWS services/ Instrument code for observability
- Topic 4: Use data stores in application development/ Develop code for applications hosted on AWS
- Topic 5: Prepare application artifacts to be deployed to AWS/ Assist in a root cause analysis
- Topic 6: Test applications in development environments/ Manage sensitive data in application code
- Topic 7: Development with AWS Services/ Troubleshooting and Optimization
Free Amazon DVA-C02 Exam Actual Questions
The questions for DVA-C02 were last updated On May. 06, 2024
A developer must use multi-factor authentication (MFA) to access data in an Amazon S3 bucket that is in another AWS account. Which AWS Security Token Service (AWS STS) API operation should the developer use with the MFA information to meet this requirement?
AWS STS AssumeRole:The central operation for assuming temporary security credentials, commonly used for cross-account access.
MFA Integration:TheAssumeRolecall can include MFA information to enforce multi-factor authentication.
Credentials for S3 Access:The returned temporary credentials would provide the necessary permissions to access the S3 bucket in the other account.
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'?
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.
Amazon Cognito Documentationhttps://docs.aws.amazon.com/cognito/
A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value
The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.
Which solution will meet these requirements?
TTL for Automatic Deletion:DynamoDB's Time-to-Live effortlessly deletes expired items without manual intervention.
DynamoDB Stream:Captures changes to the table, including deletions of expired items, triggering downstream actions.
Lambda for Processing:A Lambda function connected to the stream provides custom logic for handling the deleted items.
Code Efficiency:This solution leverages native DynamoDB features and stream-based processing, minimizing the need for custom code.
DynamoDB TTL Documentation:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
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'?
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.
A developer maintains a critical business application that uses Amazon DynamoDB as the primary data store The DynamoDB table contains millions of documents and receives 30-60 requests each minute The developer needs to perform processing in near-real time on the documents when they are added or updated in the DynamoDB table
How can the developer implement this feature with the LEAST amount of change to the existing application code?
DynamoDB Streams:Capture near real-time changes to DynamoDB tables, triggering downstream actions.
Lambda for Processing:Lambda functions provide a serverless way to execute code in response to events like DynamoDB Stream updates.
Minimal Code Changes:This solution requires the least modifications to the existing application.
DynamoDB Streams:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html
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