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Amazon DVA-C02 certification exam is designed for individuals who want to become an AWS Certified Developer - Associate. AWS Certified Developer - Associate certification is considered one of the most in-demand certifications in the cloud computing industry due to the increasing demand for AWS developers. AWS Certified Developer - Associate certification exam tests the candidate's skills in developing and maintaining applications on the AWS platform.

Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is designed for individuals who want to demonstrate their expertise in developing and maintaining applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification is ideal for software developers who are looking to enhance their skills in cloud computing and gain recognition for their proficiency in building applications on AWS. DVA-C02 Exam covers a wide range of topics such as AWS core services, AWS security, AWS database services, and AWS deployment and management.

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Amazon DVA-C02 Exam is an AWS Certified Developer – Associate certification exam offered by Amazon Web Services (AWS). It is designed for individuals who have experience in developing and maintaining AWS-based applications. DVA-C02 exam validates the candidate's ability to design, develop, and deploy cloud-based applications using AWS services and tools. AWS Certified Developer - Associate certification is intended for those who want to advance their career as an AWS developer and become proficient in building cloud-based applications.

Amazon AWS Certified Developer - Associate Sample Questions (Q261-Q266):

NEW QUESTION # 261
A company is using an AWS Lambda function to process records from an Amazon Kinesis data stream. The company recently observed slow processing of the records. A developer notices that the iterator age metric for the function is increasing and that the Lambda run duration is constantly above normal.
Which actions should the developer take to increase the processing speed? (Choose two.)

A. Decrease the number of shards of the Kinesis data stream.
B. Increase the timeout of the Lambda function.
C. Increase the memory that is allocated to the Lambda function.
D. Decrease the timeout of the Lambda function.
E. Increase the number of shards of the Kinesis data stream.

Answer: C,E

Explanation:
Explanation
Increasing the number of shards of the Kinesis data stream will increase the throughput and parallelism of the data processing. Increasing the memory that is allocated to the Lambda function will also increase the CPU and network performance of the function, which will reduce the run duration and improve the processing speed. Option B is not correct because decreasing the timeout of the Lambda function will not affect the processing speed, but may cause some records to fail if they exceed the timeout limit. Option D is not correct because decreasing the number of shards of the Kinesis data stream will decrease the throughput and parallelism of the data processing, which will slow down the processing speed. Option E is not correct because increasing the timeout of the Lambda function will not affect the processing speed, but may increase the cost of running the function.
References: [Amazon Kinesis Data Streams Scaling], [AWS Lambda Performance Tuning]

NEW QUESTION # 262
A company needs to harden its container images before the images are in a running state. The company's application uses Amazon Elastic Container Registry (Amazon ECR) as an image registry. Amazon Elastic Kubernetes Service (Amazon EKS) for compute, and an AWS CodePipeline pipeline that orchestrates a continuous integration and continuous delivery (CI/CD) workflow.
Dynamic application security testing occurs in the final stage of the pipeline after a new image is deployed to a development namespace in the EKS cluster. A developer needs to place an analysis stage before this deployment to analyze the container image earlier in the CI/CD pipeline.
Which solution will meet these requirements with the MOST operational efficiency?

A. Create a new CodePipeline stage that occurs after source code has been retrieved from its repository.
Run a security scanner on the latest revision of the source code. Fail the pipeline if there are findings.
B. Add an action to the deployment stage of the pipeline so that the action occurs before the deployment to the EKS cluster. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.
C. Build the container image and run the docker scan command locally. Mitigate any findings before pushing changes to the source code repository. Write a pre-commit hook that enforces the use of this workflow before commit.
D. Create a new CodePipeline stage that occurs after the container image is built. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.

Answer: D

Explanation:
Explanation
The solution that will meet the requirements with the most operational efficiency is to create a new CodePipeline stage that occurs after the container image is built. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings. This way, the container image is analyzed earlier in the CI/CD pipeline and any vulnerabilities are detected and reported before deploying to the EKS cluster.
The other options either delay the analysis until after deployment, which increases the risk of exposing insecure images, or perform analysis on the source code instead of the container image, which may not capture all the dependencies and configurations that affect the security posture of the image.

NEW QUESTION # 263
A developer is working on an AWS Lambda function that accesses Amazon DynamoDB. The Lambda function must retrieve an item and update some of its attributes, or create the item if it does not exist. The Lambda function has access to the primary key.
Which IAM permissions should the developer request for the Lambda function to achieve this functionality?

A. dynamodb:GetRecords
dynamodb:PutItem
dynamodb:UpdateTable
B. dynamodb:UpdateItem
dynamodb:GetItem
dynamodb:DescribeTable
C. dynamodb:UpdateItem
dynamodb:GetItemdynamodb:PutItem
D. dynamodb:DeleleItem
dynamodb:GetItem
dynamodb:PutItem

Answer: C

Explanation:
dynamodb:GetItem: This permission allows the Lambda function to retrieve an item from DynamoDB.
dynamodb:UpdateItem: This permission allows the Lambda function to update the attributes of an item in DynamoDB.
dynamodb:PutItem: This permission allows the Lambda function to create a new item if it doesn't already exist in the DynamoDB table.

NEW QUESTION # 264
An application is using Amazon Cognito user pools and identity pools for secure access. A developer wants to integrate the user-specific file upload and download features in the application with Amazon S3. The developer must ensure that the files are saved and retrieved in a secure manner and that users can access only their own files. The file sizes range from 3 KB to 300 MB.
Which option will meet these requirements with the HIGHEST level of security?

A. Use S3 Event Notifications to validate the file upload and download requests and update the user interface (UI).
B. Use Amazon API Gateway and an AWS Lambda function to upload and download files. Validate each request in the Lambda function before performing the requested operation.
C. Use an IAM policy within the Amazon Cognito identity prefix to restrict users to use their own folders in Amazon S3.
D. Save the details of the uploaded files in a separate Amazon DynamoDB table. Filter the list of files in the user interface (UI) by comparing the current user ID with the user ID associated with the file in the table.

Answer: C

Explanation:
This solution ensures that users can access only their own files in a secure manner.
https://docs.aws.amazon.com/cognito/latest/developerguide/amazon-cognito-integrating-user- pools-with-identity-pools.html

NEW QUESTION # 265
A company is using Amazon RDS as the Backend database for its application. After a recent marketing campaign, a surge of read requests to the database increased the latency of data retrieval from the database.
The company has decided to implement a caching layer in front of the database. The cached content must be encrypted and must be highly available.
Which solution will meet these requirements?

A. Amazon DynamoDB Accelerate (DAX)
B. Amazon ElastiCache to Memcached
C. Amazon ElastiCache for Redis in cluster mode
D. Amazon Cloudfront

Answer: C

Explanation:
Explanation
This solution meets the requirements because it provides a caching layer that can store and retrieve encrypted data from multiple nodes. Amazon ElastiCache for Redis supports encryption at rest and in transit, and can scale horizontally to increase the cache capacity and availability. Amazon ElastiCache for Memcached does not support encryption, Amazon CloudFront is a content delivery network that is not suitable for caching database queries, and Amazon DynamoDB Accelerator (DAX) is a caching service that only works with DynamoDB tables.

NEW QUESTION # 266
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