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Amazon DVA-C02 Certification is a valuable credential for developers who want to demonstrate their expertise in AWS development. AWS Certified Developer - Associate certification can help professionals advance their careers by demonstrating their skills and knowledge to potential employers. It can also help organizations identify qualified developers who can design and deploy secure and scalable AWS applications that meet their business needs.

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The DVA-C02 Exam is a challenging and rewarding certification that can help developers advance their careers in the cloud computing industry. By passing the exam, developers can demonstrate their proficiency in designing, building, and deploying cloud-based applications on AWS, which is a highly sought-after skill in today's job market.

Amazon AWS Certified Developer - Associate Sample Questions (Q267-Q272):

NEW QUESTION # 267
A developer is using an AWS Lambda function to process data. The developer needs to extract custom metrics about processing times from the Lambda logs. The developer needs to analyze the metrics, set alarms, and detect issues in real time.
Which solution will meet these requirements?

A. Use Amazon CloudWatch Logs Insights to create custom metrics by querying the logs that come from the Lambda function. Use CloudWatch to create the required graphs and alarms for the custom metrics.
B. Use the open source client libraries provided by Amazon to generate the logs in the Amazon CloudWatch embedded metric format. Use CloudWatch to create the required graphs and alarms for the custom metrics.
C. Publish custom metric data to AWS CloudTrail by using the PutMetricData API operation. Classify and collect the metrics. Create graphs and alarms in CloudTrail for the custom metrics.
D. Create an Amazon Kinesis data stream to stream log events in real time from Lambda. Specify an Amazon S3 bucket as the destination for the Kinesis data stream. Use Amazon CloudWatch to visualize the log data and to set alarms.

Answer: B

Explanation:
Amazon provides open-source client libraries that allow you to embed custom metrics directly into your Lambda logs in a structured format (CloudWatch Embedded Metric Format). This approach enables the automatic extraction of custom metrics from the logs, and these metrics are immediately available for analysis in Amazon CloudWatch. You can use CloudWatch to create graphs, alarms, and set real-time alerts based on these custom metrics.

NEW QUESTION # 268
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?

A. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket.
Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
B. Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
C. Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
D. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket.
Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.

Answer: D

Explanation:
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. The developer can create an S3 bucket to host the repository and migrate the existing .xml files to the S3 bucket. The developer can update the application code to use the AWS SDK to read and write configuration files from S3. This solution will meet the requirement of high availability for the repository in a cost-effective way.
References:
* [Amazon Simple Storage Service (S3)]
* [Using AWS SDKs with Amazon S3]

NEW QUESTION # 269
When a developer tries to run an AWS Code Build project, it raises an error because the length of all environment variables exceeds the limit for the combined maximum of characters.
What is the recommended solution?

A. Add the export LC-_ALL" on _ US, tuft" command to the pre _ build section to ensure POSIX Localization.
B. Update the settings for the build project to use an Amazon S3 bucket for large numbers of environment variables
C. Use Amazon Cognate to store key-value pairs for large numbers of environment variables
D. Use AWS Systems Manager Parameter Store to store large numbers ot environment variables

Answer: D

Explanation:
Explanation
This solution allows the developer to overcome the limit for the combined maximum of characters for environment variables in AWS CodeBuild. AWS Systems Manager Parameter Store provides secure, hierarchical storage for configuration data management and secrets management. The developer can store large numbers of environment variables as parameters in Parameter Store and reference them in the buildspec file using parameter references. Adding export LC_ALL="en_US.utf8" command to the pre_build section will not affect the environment variables limit. Using Amazon Cognito or an Amazon S3 bucket to store key-value pairs for environment variables will require additional configuration and integration.

NEW QUESTION # 270
A developer is writing an AWS Lambda function. The developer wants to log key events that occur while the Lambda function runs. The developer wants to include a unique identifier to associate the events with a specific function invocation. The developer adds the following code to the Lambda function:

Which solution will meet this requirement?

A. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to standard output.
B. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to standard output.
C. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to a file.
D. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to a file.

Answer: A

Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/nodejs-context.html https://docs.aws.amazon.com/lambda
/latest/dg/nodejs-logging.html
There is no explicit information for the runtime, the code is written in Node.js.
AWS Lambda is a service that lets developers run code without provisioning or managing servers. The developer can use the AWS request ID field in the context object to obtain a unique identifier for each function invocation. The developer can configure the application to write logs to standard output, which will be captured by Amazon CloudWatch Logs. This solution will meet the requirement of logging key events with a unique identifier.
References:
* [What Is AWS Lambda? - AWS Lambda]
* [AWS Lambda Function Handler in Node.js - AWS Lambda]
* [Using Amazon CloudWatch - AWS Lambda]

NEW QUESTION # 271
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?

A. Add retries with exponential backoff for DynamoDB queries.
B. Use DynamoDB Accelerator (DAX) to cache the trading data.
C. Add local secondary indexes (LSIs) for the trading data.
D. Store the trading data in Amazon S3, and use S3 Transfer Acceleration.

Answer: B

NEW QUESTION # 272
......

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DVA-C02 Latest Braindumps Book, Valid DVA-C02 Test Simulator

Valid DVA-C02 Test Simulator & DVA-C02 Valid Test Braindumps

Amazon AWS Certified Developer - Associate Sample Questions (Q267-Q272):