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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Troubleshooting and Optimization	18%	- Instrument code for observability 1. Amazon CloudWatch alarms 2. AWS X-Ray 3. Amazon CloudWatch metrics 4. Custom metrics 5. Structured logging - Optimize applications by using AWS services and features 1. Caching strategies (ElastiCache, CloudFront) 2. Data storage optimization 3. Cost optimization 4. Concurrency and throttling 5. Memory and compute optimization - Assist in a root cause analysis 1. AWS X-Ray 2. Amazon CloudWatch Logs 3. Error handling and retries 4. Application logging 5. AWS CloudTrail
Topic 2: Security	26%	- Implement encryption by using AWS services 1. AWS CloudHSM 2. AWS Certificate Manager 3. AWS KMS 4. AWS Secrets Manager 5. Amazon S3 encryption - Implement authentication and/or authorization for applications and AWS services 1. User pools and identity pools in Amazon Cognito 2. Role-based access control (RBAC) 3. Identity federation (SAML, OpenID Connect, Amazon Cognito) 4. Bearer tokens (JWT, OAuth, AWS STS) 5. Resource-based policies, service policies, and principal policies - Manage sensitive data in application code 1. AWS Systems Manager Parameter Store 2. Environment variables 3. AWS Secrets Manager 4. Encryption of data at rest and in transit
Topic 3: Development with AWS Services	32%	- Develop code for AWS serverless applications 1. AWS AppSync 2. Amazon API Gateway 3. AWS Step Functions 4. Amazon EventBridge - Develop code for applications hosted on AWS 1. Amazon SQS 2. AWS CloudFormation 3. Amazon S3 4. AWS CLI 5. Amazon API Gateway 6. AWS Lambda 7. AWS SDKs 8. Amazon SNS 9. Amazon Cognito 10. Amazon DynamoDB - Use data stores in application development 1. Amazon ElastiCache 2. Amazon S3 3. Amazon RDS 4. Amazon EFS 5. Amazon DynamoDB
Topic 4: Deployment	24%	- Test applications in development environments 1. AWS SAM local 2. Mocking AWS services 3. Local testing of Lambda functions - Prepare application artifacts to be deployed to AWS 1. AWS CloudFormation 2. Lambda deployment packages 3. AWS SAM 4. Docker containers 5. AWS CDK - Deploy code by using AWS CI/CD services 1. Canary deployments 2. Rolling deployments 3. AWS CodeCommit 4. AWS CodeBuild 5. AWS CodeDeploy 6. Blue/green deployments 7. AWS CodePipeline 8. GitHub integration - Automate deployment testing 1. AWS CodeCommit 2. AWS CodeBuild 3. AWS CodeDeploy 4. AWS CodePipeline

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Amazon AWS Certified Developer - Associate Sample Questions (Q744-Q749):

NEW QUESTION # 744
A developer is trying get data from an Amazon DynamoDB table called demoman-table. The developer configured the AWS CLI to use a specific IAM use's credentials and ran the following command.

The command returned errors and no rows were returned.
What is the MOST likely cause of these issues?

A. The command is incorrect; it should be rewritten to use put-item with a string argument
B. The IAM user needs an associated policy with read access to demoman-table
C. Amazon DynamoOB cannot be accessed from the AWS CLI and needs to called via the REST API
D. The developer needs to log a ticket with AWS Support to enable access to the demoman-table

Answer: B

Explanation:
Explanation
This solution will most likely solve the issues because it will grant the IAM user the necessary permission to access the DynamoDB table using the AWS CLI command. The error message indicates that the IAM user does not have sufficient access rights to perform the scan operation on the table. Option A is not optimal because it will change the command to use put-item instead of scan, which will not achieve the desired result of getting data from the table. Option B is not optimal because it will involve contacting AWS Support, which may not be necessary or efficient for this issue. Option C is not optimal because it will state that DynamoDB cannot be accessed from the AWS CLI, which is incorrect as DynamoDB supports AWS CLI commands.
References: AWS CLI for DynamoDB, [IAM Policies for DynamoDB]

NEW QUESTION # 745
A company has an application that stores data in Amazon RDS instances. The application periodically experiences surges of high traffic that cause performance problems.
During periods of peak traffic, a developer notices a reduction in query speed in all database queries.
The team's technical lead determines that a multi-threaded and scalable caching solution should be used to offload the heavy read traffic. The solution needs to improve performance.
Which solution will meet these requirements with the LEAST complexity?

A. Use Amazon ElastiCache for Redis to offload read requests from the main database.
B. Use Amazon ElastiCache for Memcached to offload read requests from the main database.
C. Configure the Amazon RDS instances to use Multi-AZ deployment with one standby instance. Offload read requests from the main database to the standby instance.
D. Replicate the data to Amazon DynamoDB. Set up a DynamoDB Accelerator (DAX) cluster.

Answer: A

Explanation:
Amazon ElastiCache for Memcached is a fully managed, multithreaded, and scalable in-memory key-value store that can be used to cache frequently accessed data and improve application performance1. By using Amazon ElastiCache for Memcached, the developer can reduce the load on the main database and handle high traffic surges more efficiently.
To use Amazon ElastiCache for Memcached, the developer needs to create a cache cluster with one or more nodes, and configure the application to store and retrieve data from the cache cluster2. The developer can use any of the supported Memcached clients to interact with the cache cluster3. The developer can also use Auto Discovery to dynamically discover and connect to all cache nodes in a cluster4.
Amazon ElastiCache for Memcached is compatible with the Memcached protocol, which means that the developer can use existing tools and libraries that work with Memcached1. Amazon ElastiCache for Memcached also supports data partitioning, which allows the developer to distribute data among multiple nodes and scale out the cache cluster as needed.
Using Amazon ElastiCache for Memcached is a simple and effective solution that meets the requirements with the least complexity. The developer does not need to change the database schema, migrate data to a different service, or use a different caching model. The developer can leverage the existing Memcached ecosystem and easily integrate it with the application.

NEW QUESTION # 746
A developer needs to give a new application the ability to retrieve configuration data.
The application must be able to retrieve new configuration data values without the need to redeploy the application code. If the application becomes unhealthy because of a bad configuration change, the developer must be able to automatically revert the configuration change to the previous value.

A. Use AWS Secrets Manager to manage and store the configuration data. Integrate Secrets Manager with a custom AWS Config rule. Attach a custom AWS Systems Manager document to the rule that automatically rolls back any bad configuration changes.
B. Use AWS AppConfig to manage and store the configuration data. Integrate AWS AppConfig with Amazon CloudWatch to monitor changes to the application. Set up an alarm to automatically roll back any bad configuration changes.
C. Use AWS Secrets Manager to manage and store the configuration data. Integrate Secrets Manager with a custom AWS Config rule that has remediation actions to track changes in the application and to roll back any bad configuration changes.
D. Use AWS AppConfig to manage and store the configuration data. Integrate AWS AppConfig with Amazon CloudWatch to monitor changes to the application. Set up CloudWatch Application Signals to roll back any bad configuration changes.

Answer: D

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Option D: AWS AppConfig with CloudWatch Application Signals
* AWS AppConfig is designed for managing and deploying application configurations dynamically, without redeployment.
* CloudWatch Application Signals provide automatic rollback mechanisms in case of an unhealthy application state due to bad configuration changes.
* This solution meets the requirements with minimal operational overhead by ensuring both dynamic updates and rollback functionality.
* Why Other Options Are Incorrect:
* Option A and B:AWS Secrets Manager is designed for secrets management, not dynamic application configuration. Custom Config rules add unnecessary complexity.
* Option C:While CloudWatch alarms can monitor application changes, using alarms for rollback requires manual setup and lacks the automatic rollback provided by Application Signals.

NEW QUESTION # 747
A developer is implementing a serverless application by using AWS CloudFormation to provision Amazon S3 web hosting. Amazon API Gateway, and AWS Lambda functions. The Lambda function source code is zipped and uploaded to an S3 bucket. The S3 object key of the zipped source code is specified in the Lambda resource in the CloudFormation template.
The developer notices that there are no changes in the Lambda function every time the CloudFormation stack is updated.
How can the developer resolve this issue?

A. Associate a cade signing configuration with the Lambda function before updating the CloudFormation stack.
B. Create a new Lambda function alias before updating the CloudFormation stack.
C. Upload the zipped source code to another S3 bucket before updating the CioudFormation stack.
D. Change the S3 object key or the S3 version in the CloudFormation template before updating the CloudFormation stack.

Answer: D

NEW QUESTION # 748
A company is building a serverless application on AWS. The application uses an AWS Lambda function to process customer orders 24 hours a day, 7 days a week. The Lambda function calls an external vendor's HTTP API to process payments.
During load tests, a developer discovers that the external vendor payment processing API occasionally times out and returns errors. The company expects that some payment processing API calls will return errors.
The company wants the support team to receive notifications in near real time only when the payment processing external API error rate exceed 5% of the total number of transactions in an hour. Developers need to use an existing Amazon Simple Notification Service (Amazon SNS) topic that is configured to notify the support team.
Which solution will meet these requirements?

A. Write the results of payment processing API calls to Amazon CloudWatch. Use Amazon CloudWatch Logs Insights to query the CloudWatch logs. Schedule the Lambda function to check the CloudWatch logs and notify the existing SNS topic.
B. Write the results of the external payment processing API calls to Amazon S3. Schedule an Amazon Athena query to run at regular intervals. Configure Athena to send notifications to the existing SNS topic when the error rate exceeds the specified rate.
C. Publish the results of the external payment processing API calls to a new Amazon SNS topic. Subscribe the support team members to the new SNS topic.
D. Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when error rate exceeds the specified rate.

Answer: D

Explanation:
Explanation
Amazon CloudWatch is a service that monitors AWS resources and applications. The developer can publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. The developer can configure a CloudWatch alarm to notify the existing SNS topic when the error rate exceeds 5% of the total number of transactions in an hour. This solution will meet the requirements in a near real-time and scalable way.
References:
[What Is Amazon CloudWatch? - Amazon CloudWatch]
[Publishing Custom Metrics - Amazon CloudWatch]
[Creating Amazon CloudWatch Alarms - Amazon CloudWatch]

NEW QUESTION # 749
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