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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Troubleshooting and Optimization	18%	- Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns - Monitoring and logging 1. Amazon CloudWatch metrics and logs
Deployment	24%	- Infrastructure as code 1. AWS CloudFormation templates - CI/CD and deployment strategies 1. AWS CodePipeline workflows 2. AWS CodeBuild and CodeDeploy usage
Development with AWS Services	32%	- AWS core services development 1. Amazon DynamoDB integration patterns 2. Amazon S3 usage in applications 3. AWS Lambda functions development - Application development and integration 1. Event-driven architectures with SNS/SQS 2. API Gateway and REST APIs
Security	26%	- Data security 1. Encryption using AWS KMS 2. Secure API access patterns - Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication

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Amazon AWS Certified Developer - Associate Sample Questions (Q691-Q696):

NEW QUESTION # 691
An e-commerce web application that shares session state on-premises is being migrated to AWS.
The application must be fault tolerant, natively highly scalable, and any service interruption should not affect the user experience.
What is the best option to store the session state?

A. Store the session state in Amazon S3.
B. Enable session stickiness using elastic load balancers.
C. Store the session state in Amazon CloudFront.
D. Store the session state in Amazon ElastiCache.

Answer: D

NEW QUESTION # 692
A mobile app stores blog posts in an Amazon DynamoDB table. Millions of posts are added every day, and each post represents a single item in the table. The mobile app requires only recent posts. Any post that is older than 48 hours can be removed.
What is the MOST cost-effective way to delete posts that are older than 48 hours?

A. For each item, add a new attribute of type Date that has a timestamp that is set to 48 hours after the blog post creation time. Create a global secondary index (GSI) that uses the new attribute as a sort key. Create an AWS Lambda function that references the GSI and removes expired items by using the BatchWriteItem API operation. Schedule the function with an Amazon CloudWatch event every minute.
B. For each item, add a new attribute of type String that has a timestamp that is set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are older than 48 hours by using the BatchWriteItem API operation. Place the script in a container image.
Schedule an Amazon Elastic Container Service (Amazon ECS) task on AWS Fargate that invokes the container every 5 minutes.
C. For each item, add a new attribute of type String that has a timestamp that is set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are older than 48 hours by using the BatchWriteItem API operation. Schedule a cron job on an Amazon EC2 instance once an hour to start the script.
D. For each item, add a new attribute of type Number that has a timestamp that is set to 48 hours after the blog post creation time. Configure the DynamoDB table with a TTL that references the new attribute.

Answer: D

Explanation:
Solution (D) is the most cost-effective because it uses DynamoDB's Time to Live (TTL) to automatically remove expired items. The TTL is an item attribute that specifies the duration of time that an item should remain in the table. When an item's TTL expires, the item is automatically deleted from the table.

NEW QUESTION # 693
A developer must deploy an AWS Cloud Formation template to a GitHub repository. The developer configures a GitHub provider connection in AWS CodeConnections. Which solution will meet this requirement with the LEAST development effort?

A. Use AWS CodePipeline to configure the deployment. Use a GitHub source action and a CloudFormation deploy action.
B. Use CloudFormation to configure the deployment. Place a Git sync deployment file in the GitHub repository.
C. Use AWS CodeDeploy to configure the deployment. Create an application and deployment group.
D. Use AWS CodeBuild to configure the deployment. Create a buildspec.yml file. Place the buildspec.yml file in the GitHub repository.

Answer: A

Explanation:
AWS CodePipeline natively integrates with AWS CodeConnections and GitHub, allowing a pipeline with a GitHub source action and a CloudFormation deploy action. This enables direct deployment of the CloudFormation template from GitHub with minimal custom coding, achieving the requirement with the least development effort.

NEW QUESTION # 694
A developer has a legacy application that is hosted on-premises. Other applications hosted on AWS depend on the on-premises application for proper functioning. In case of any application errors, the developer wants to be able to use Amazon CloudWatch to monitor and troubleshoot all applications from one place.
How can the developer accomplish this?

A. Upload log files from the on-premises server to an Amazon EC2 instance and have the instance forward the logs to CloudWatch.
B. Upload log files from the on-premises server to Amazon S3 and have CloudWatch read the files.
C. Download the CloudWatch agent to the on-premises server. Configure the agent to use IAM user credentials with permissions for CloudWatch.
D. Install an AWS SDK on the on-premises server to automatically send logs to CloudWatch.

Answer: C

Explanation:
Amazon CloudWatch is a service that monitors AWS resources and applications. The developer can use CloudWatch to monitor and troubleshoot all applications from one place. To do so, the developer needs to download the CloudWatch agent to the on-premises server and configure the agent to use IAM user credentials with permissions for CloudWatch. The agent will collect logs and metrics from the on-premises server and send them to CloudWatch.

NEW QUESTION # 695
A company has an application that runs as a series of AWS Lambda functions. Each Lambda function receives data from an Amazon Simple Notification Service (Amazon SNS) topic and writes the data to an Amazon Aurora DB instance.
To comply with an information security policy, the company must ensure that the Lambda functions all use a single securely encrypted database connection string to access Aurora.
Which solution will meet these requirements'?

A. Store the credentials and read the credentials from an encrypted Amazon RDS DB instance.
B. Use IAM database authentication for Aurora to enable secure database connections for ail the Lambda functions.
C. Use Lambda environment variables with a shared AWS Key Management Service (AWS KMS) key for encryption.
D. Store the credentials in AWS Systems Manager Parameter Store as a secure string parameter.

Answer: B

Explanation:
This solution will meet the requirements by using IAM database authentication for Aurora, which enables using IAM roles or users to authenticate with Aurora databases instead of using passwords or other secrets.
The developer can use IAM database authentication for Aurora to enable secure database connections for all the Lambda functions that access Aurora DB instance. The developer can create an IAM role with permission to connect to Aurora DB instance and attach it to each Lambda function. The developer can also configure Aurora DB instance to use IAM database authentication and enable encryption in transit using SSL certificates. This way, the Lambda functions can use a single securely encrypted database connection string to access Aurora without needing any secrets or passwords. Option B is not optimal because it will store the credentials and read them from an encrypted Amazon RDS DB instance, which may introduce additional costs and complexity for managing and accessing another RDS DB instance. Option C is not optimal because it will store the credentials in AWS Systems Manager Parameter Store as a secure string parameter, which may require additional steps or permissions to retrieve and decrypt the credentials from Parameter Store.
Option D is not optimal because it will use Lambda environment variables with a shared AWS Key Management Service (AWS KMS) key for encryption, which may not be secure or scalable as environment variables are stored as plain text unless encrypted with AWS KMS.
References: [IAM Database Authentication for MySQL and PostgreSQL], [Using SSL/TLS to Encrypt a Connection to a DB Instance]

NEW QUESTION # 696
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