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To prepare for the DVA-C02 exam, candidates must have a solid understanding of programming concepts, such as object-oriented programming, data structures, and algorithms. They should also be familiar with AWS services, architectures, and deployment models. Candidates can prepare for the exam by attending AWS training courses, reading AWS documentation, and practicing with AWS services and tools.
Amazon DVA-C02 is the latest version of the AWS Certified Developer - Associate exam. AWS Certified Developer - Associate certification targets professionals who have experience in developing and maintaining AWS-based applications. DVA-C02 Exam validates their skills and knowledge in designing, developing, deploying, and maintaining applications on AWS. The updated version of the exam reflects the latest AWS services and features, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon SQS.
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Achieving the Amazon DVA-C02 certification demonstrates a candidate's ability to develop applications on AWS and demonstrates their knowledge of AWS services and best practices. AWS Certified Developer - Associate certification is highly valued by employers and can lead to career opportunities in cloud computing and software development. By passing the DVA-C02 Exam, candidates can demonstrate their expertise in developing and deploying applications on the AWS platform, which is an essential skill for any developer working with cloud-based technologies.
Amazon AWS Certified Developer - Associate Sample Questions (Q259-Q264):
NEW QUESTION # 259
A developer is building an application that stores user activity data in an Amazon DynamoDB table. The developer is writing a new AWS Lambda function to process the activity data. The developer grants the IAM role that the function assumes permissions to query the table. The developer must ensure that the function does not have access to personally identifiable information (PII) that is stored in some of the table item attributes. Which solutions will meet these requirements? (Choose two.)
- A. Enable attribute-based access control for the DynamoDB table. Configure the IAM role policy for the function to allow access to the table based on resource tags.
- B. Create an AWS KMS customer managed key. Use the customer managed key to encrypt the table.
- C. Update the function to use a projection expression when the table is queried to control which attributes the query returns.
- D. Create a resource-based policy for the DynamoDB table. Include a policy statement to deny access based on attributes.
- E. Create an AWS KMS customer managed key. Use envelope encryption to encrypt PII attributes in the table.
Answer: D,E
Explanation:
A DynamoDB resource-based policy can use fine-grained access-control conditions to deny retrieval of specified PII attributes, enforcing the restriction at the service level.
Client-side envelope encryption can encrypt only the PII attributes with a customer managed KMS key. By withholding decrypt permission from the Lambda function's execution role, the function cannot access the plaintext PII even when it retrieves the table items.
NEW QUESTION # 260
A developer needs to export the contents of several Amazon DynamoDB tables into Amazon S3 buckets to comply with company data regulations. The developer uses the AWS CLI to run commands to export from each table to the proper S3 bucket. The developer sets up AWS credentials correctly and grants resources appropriate permissions. However, the exports of some tables fail.
What should the developer do to resolve this issue?
- A. Ensure that DynamoDB streaming is enabled for the tables.
- B. Ensure that DynamoDB Accelerator (DAX) is enabled.
- C. Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table.
- D. Ensure that point-in-time recovery is enabled on the DynamoDB tables.
Answer: C
Explanation:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The developer needs to export DynamoDB table data into Amazon S3 buckets using the AWS CLI, and some exports are failing. Proper credentials and permissions have already been configured.
2. Key Conditions to Check:
Region Consistency:DynamoDB exports require that the target S3 bucket and the DynamoDB table reside in the same AWS Region. If they are not in the same Region, the export process will fail.
Point-in-Time Recovery (PITR):PITR is not required for exporting data from DynamoDB to S3. Enabling PITR allows recovery of table states at specific points in time but does not directly influence export functionality.
DynamoDB Streams:Streams allow real-time capture of data modifications but are unrelated to the bulk export feature.
DAX (DynamoDB Accelerator):DAX is a caching service that speeds up read operations for DynamoDB but does not affect the export functionality.
3. Explanation of the Options:
Option A:"Ensure that point-in-time recovery is enabled on the DynamoDB tables."While PITR is useful for disaster recovery and restoring table states, it is not required for exporting data to S3. This option does not address the export failure.
Option B:"Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table."This is the correct answer. DynamoDB export functionality requires the target S3 bucket to reside in the same AWS Region as the DynamoDB table. If the S3 bucket is in a different Region, the export will fail.
Option C:"Ensure that DynamoDB streaming is enabled for the tables."Streams are useful for capturing real- time changes in DynamoDB tables but are unrelated to the export functionality. This option does not resolve the issue.
Option D:"Ensure that DynamoDB Accelerator (DAX) is enabled."DAX accelerates read operations but does not influence the export functionality. This option is irrelevant to the issue.
4. Resolution Steps:
To ensure successful exports:
Verify the Region of the DynamoDB tables:
Check the Region where each table is located.
Verify the Region of the target S3 buckets:
Confirm that the target S3 bucket for each export is in the same Region as the corresponding DynamoDB table.
If necessary, create new S3 buckets in the appropriate Regions.
Run the export command again with the correct setup:
aws dynamodb export-table-to-point-in-time \
--table-name <TableName> \
--s3-bucket <BucketName> \
--s3-prefix <Prefix> \
--export-time <ExportTime> \
--region <Region>
References:
Exporting DynamoDB Data to Amazon S3
S3 Bucket Region Requirements for DynamoDB Exports
AWS CLI Reference for DynamoDB Export
NEW QUESTION # 261
A company receives food orders from multiple partners. The company has a microservices application that uses Amazon API Gateway APIs with AWS Lambda integration. Each partner sends orders by calling a customized API that is exposed through API Gateway. The API call invokes a shared Lambda function to process the orders.
Partners need to be notified after the Lambda function processes the orders. Each partner must receive updates for only the partner's own orders. The company wants to add new partners in the future with the fewest code changes possible.
Which solution will meet these requirements in the MOST scalable way?
- A. Create a different Amazon Simple Notification Service (Amazon SNS) topic for each partner.
Configure the Lambda function to publish messages for each partner to the partner's SNS topic. - B. Create one Amazon Simple Notification Service (Amazon SNS) topic. Subscribe all partners to the SNS topic.
- C. Create a different Lambda function for each partner. Configure the Lambda function to notify each partner's service endpoint directly.
- D. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure the Lambda function to publish messages with specific attributes to the SNS topic. Subscribe each partner to the SNS topic. Apply the appropriate filter policy to the topic subscriptions.
Answer: D
Explanation:
https://docs.aws.amazon.com/sns/latest/dg/sns-message-filtering.html
NEW QUESTION # 262
A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.
What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?
- A. Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.
- B. Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.
- C. Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .zip file archive.
- D. Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.
Answer: B
Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html
NEW QUESTION # 263
A developer is building a web application that is accessible through an Amazon CloudFront distribution. The application invokes an AWS Lambda function through a function URL.
The developer wants to ensure that all traffic to the Lambda function passes through the CloudFront distribution first. The developer configures the function URL AuthType parameter to enforce IAM authentication.
Which solution will meet these requirements?
- A. Create a CloudFront origin access control (OAC). Update the CloudFront distribution to use the OAC for the Lambda function origin. Configure permissions on the Lambda function to allow the CloudFront OAC to access the Lambda function URL.
- B. Set up a cross-origin resource sharing (CORS) configuration for the Lambda function URL. Add the CloudFront distribution domain name to the allowed origins.
- C. Update the resource-based IAM policy for the Lambda function to allow access to the function URL from a CloudFront managed prefix list.
- D. Configure the CloudFront distribution to add a custom header that contains a shared secret for the Lambda function. Update the Lambda function to validate the shared secret header value.
Answer: A
Explanation:
To force all access through CloudFront when the function URL requires IAM authentication, CloudFront must be able to sign requests to the origin and the origin must only trust CloudFront.
Using CloudFront Origin Access Control (OAC) enables CloudFront to securely authenticate to the origin with SigV4, and configuring the Lambda function permissions to allow the CloudFront OAC restricts direct access to the function URL so requests must come through the CloudFront distribution.
NEW QUESTION # 264
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