Amazon Web Services dumpscollection vce Dva-c02 Questions Latest by Blanka q52 vce pdf

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Exam Name:	AWS Certified Developer - Associate
Exam Code:	DVA-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	344 Q&A's	Shared By:	blanka

Question 84

A company runs a payment application on Amazon EC2 instances behind an Application Load Balance The EC2 instances run in an Auto Scaling group across multiple Availability Zones The application needs to retrieve application secrets during the application startup and export the secrets as environment variables These secrets must be encrypted at rest and need to be rotated every month.

Which solution will meet these requirements with the LEAST development effort?

Options:

Save the secrets in a text file and store the text file in Amazon S3 Provision a customer managed key Use the key for secret encryption in Amazon S3 Read the contents of the text file and read the export as environment variables Configure S3 Object Lambda to rotate the text file every month

Save the secrets as strings in AWS Systems Manager Parameter Store and use the default AWS Key Management Service (AWS KMS) key Configure an Amazon EC2 user data script to retrieve the secrets during the startup and export as environment variables Configure an AWS Lambda function to rotate the secrets in Parameter Store every month.

Save the secrets as base64 encoded environment variables in the application properties. Retrieve the secrets during the application startup. Reference the secrets in the application code. Write a script to rotate the secrets saved as environment variables.

Store the secrets in AWS Secrets Manager Provision a new customer master key Use the key to encrypt the secrets Enable automatic rotation Configure an Amazon EC2 user data script to programmatically retrieve the secrets during the startup and export as environment variables

Discussion

Question 85

A social media application is experiencing high volumes of new user requests after a recent marketing campaign. The application is served by an Amazon RDS for MySQL instance. A solutions architect examines the database performance and notices high CPU usage and many "too many connections" errors that lead to failed requests on the database. The solutions architect needs to address the failed requests.

Which solution will meet this requirement?

Options:

Deploy an Amazon DynamoDB Accelerator (DAX) cluster. Configure the application to use the DAX cluster.

Deploy an RDS Proxy. Configure the application to use the RDS Proxy.

Migrate the database to an Amazon RDS for PostgreSQL instance.

Deploy an Amazon ElastiCache (Redis OSS) cluster. Configure the application to use the ElastiCache cluster.

Discussion

Question 86

A company hosts a batch processing application on AWS Elastic Beanstalk with instances that run the most recent version of Amazon Linux. The application sorts and processes large datasets. In recent weeks, the application's performance has decreased significantly during a peak period for traffic. A developer suspects that the application issues are related to the memory usage. The developer checks the Elastic Beanstalk console and notices that memory usage is not being tracked.

How should the developer gather more information about the application performance issues?

Options:

Configure the Amazon CloudWatch agent to push logs to Amazon CloudWatch Logs by using port 443.

Configure the Elastic Beanstalk .ebextensions directory to track the memory usage of the instances.

Configure the Amazon CloudWatch agent to track the memory usage of the instances.

Configure an Amazon CloudWatch dashboard to track the memory usage of the instances.

Discussion

Answer:

Explanation:

To monitor memory usage in Amazon Elastic Beanstalk environments, it's important to understand that default Elastic Beanstalk monitoring capabilities in Amazon CloudWatch do not track memory usage, as memory metrics are not collected by default. Instead, the Amazon CloudWatch agent must be configured to collect memory usage metrics.

Why Option C is Correct:

The Amazon CloudWatch agent can be installed and configured to monitor system-level metrics such as memory and disk utilization.

To enable memory tracking, developers need to install the CloudWatch agent on the Amazon Elastic Compute Cloud (EC2) instances associated with the Elastic Beanstalk environment.

After installation, the agent can be configured to collect memory metrics, which can then be sent to CloudWatch for further analysis.

How to Implement This Solution:

Install the CloudWatch Agent:Use .ebextensions or AWS Systems Manager to install and configure the CloudWatch agent on the EC2 instances running in the Elastic Beanstalk environment.

Modify CloudWatch Agent Configuration:Create a config.json file that specifies memory usage tracking and other desired metrics.

Enable Metrics Reporting:The CloudWatch agent can push the metrics to CloudWatch, where they can be monitored.

Why Other Options are Incorrect:

Option A: Configuring the agent to push logs is not sufficient to track memory metrics. This option addresses logging but not system-level metrics like memory usage.

Option B: The .ebextensions directory is used to customize Elastic Beanstalk environments but does not directly track memory metrics without additional configuration of the CloudWatch agent.

Option D: Configuring a CloudWatch dashboard will only visualize the metrics that are already being collected. It will not enable memory usage tracking.

AWS Documentation References:

Amazon CloudWatch Agent Overview

Elastic Beanstalk Customization Using .ebextensions

Monitoring Custom Metrics

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Question 87

A developer is troubleshooting an Amazon API Gateway API Clients are receiving HTTP 400 response errors when the clients try to access an endpoint of the API.

How can the developer determine the cause of these errors?

Options:

Create an Amazon Kinesis Data Firehose delivery stream to receive API call logs from API Gateway. Configure Amazon CloudWatch Logs as the delivery stream's destination.

Turn on AWS CloudTrail Insights and create a trail Specify the Amazon Resource Name (ARN) of the trail for the stage of the API.

Turn on AWS X-Ray for the API stage Create an Amazon CtoudWalch Logs log group Specify the Amazon Resource Name (ARN) of the log group for the API stage.

Turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage. Create a CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.