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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Security	26%	- Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - Implement authentication and authorization 1. Use Amazon Cognito for identity management 2. Manage IAM roles, policies, and permissions - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit
Topic 2: Deployment	24%	- Prepare application artifacts for deployment 1. Use infrastructure as code (AWS CloudFormation, AWS SAM) 2. Package code and dependencies - Deploy applications on AWS 1. Perform safe updates and rollbacks 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows
Topic 3: Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces - Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects - Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput
Topic 4: Development with AWS Services	32%	- Integrate AWS services into applications 1. Implement messaging and event-driven workflows 2. Use AWS Lambda, API Gateway, Amazon EventBridge - Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies - Write code for applications hosted on AWS 1. Develop serverless applications 2. Use AWS SDKs and APIs 3. Implement architectural patterns

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Amazon AWS Certified Developer - Associate Sample Questions (Q786-Q791):

NEW QUESTION # 786
A healthcare company uses AWS Amplify to host a patient management system. The system uses Amazon API Gateway to expose RESTful APIs. The backend logic of the system is handled by AWS Lambda functions.
One of the Lambda functions receives patient data that includes personally identifiable information (PII). The Lambda function sends the patient data to an Amazon DynamoDB table. The company must encrypt all patient data at rest and in transit before the data is stored in DynamoDB.

A. Configure the Lambda function to use AWS KMS keys with the AWS Database Encryption SDK to encrypt the patient data before sending the data to DynamoDB.
B. Use AWS managed AWS KMS keys to encrypt the data in the DynamoDB table.
C. Configure a DynamoDB stream on the table to invoke a Lambda function. Configure the Lambda function to use an AWS KMS key to encrypt the DynamoDB table and to update the table.
D. Use an AWS Step Functions workflow to transfer the data to an Amazon SQS queue. Configure a Lambda function to encrypt the data in the queue before sending the data to the DynamoDB table.

Answer: A

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option A is Correct:Encrypting PII at rest and in transit before storing it in DynamoDB ensures end-to-end security. Using the AWS Database Encryption SDK with KMS keys allows the Lambda function to encrypt data before transmission, meeting security and compliance requirements.
* Why Other Options are Incorrect:
* Option B: While AWS-managed KMS keys encrypt DynamoDB data at rest, they do not encrypt data in transit.
* Option C: DynamoDB streams process updates after the data is written to the table, failing to encrypt PII in transit.
* Option D: Step Functions and SQS add unnecessary complexity and still require encryption logic for both transit and at rest.
* AWS Documentation References:
* Encrypting Data in DynamoDB
* AWS Database Encryption SDK

NEW QUESTION # 787
A developer is writing an application that stores data in an Amazon DynamoDB table by using the PutItem API operation. The table has a partition key of streamID and has a sort key of seqID. The developer needs to make sure that the PutItem invocation does not overwrite the existing partition key and sort key. Which condition expression will maintain the uniqueness of the partition key and the sort key?

Answer: C

Explanation:
A conditional PutItem operation with attribute_not_exists on both the partition key and sort key ensures that the item is written only when no existing item has the same full primary key. This prevents overwriting an existing item with the same streamID and seqID combination.

NEW QUESTION # 788
A developer is setting up infrastructure by using AWS Cloud Formation. If an error occurs when the resources described in the CloudFormation template are provisioned, successfully provisioned resources must be preserved. The developer must provision and update the CloudFormation stack by using the AWS CLI.
Which solution will meet these requirements?

A. Add a -tags Key=PreserveResources.VaIue=True command line option to the create-stack command and the update-stack command.
B. Add an --enable-terminal ion-protection command line option to the create-stack command and the update-stack command.
C. Add a -parameters ParameterKey=P reserve Resources. ParameterVaIue=True command line option to the create-stack command and the update-stack command.
D. Add a -disable-roll back command line option to the create-stack command and the update-stack command

Answer: D

NEW QUESTION # 789
A developer needs to migrate an online retail application to AWS to handle an anticipated increase in traffic.
The application currently runs on two servers: one server for the web application and another server for the database. The web server renders webpages and manages session state in memory. The database server hosts a MySQL database that contains order details. When traffic to the application is heavy, thememory usage for the web server approaches 100% and the application slows down considerably.
The developer has found that most of the memory increase and performance decrease is related to the load of managing additional user sessions. For the web server migration, the developer will use Amazon EC2 instances with an Auto Scaling group behind an Application Load Balancer.
Which additional set of changes should the developer make to the application to improve the application's performance?

A. Use the EC2 instance store to manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
B. Use Amazon ElastiCache for Memcached to store and manage the session data and the application data.
C. Use an EC2 instance to host the MySQL database. Store the session data and the application data in the MySQL database.
D. Use Amazon ElastiCache for Memcached to store and manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.

Answer: D

Explanation:
Using Amazon ElastiCache for Memcached to store and manage the session data will reduce the memory load and improve the performance of the web server. Using Amazon RDS for MySQL DB instance to store the application data will provide a scalable, reliable, and managed database service. Option A is not optimal because it does not address the memory issue of the web server. Option C is not optimal because it does not provide a persistent storage for the application data. Option D is not optimal because it does not provide a high availability and durability for the session data.

NEW QUESTION # 790
A developer is troubleshooting a problem with a serverless application. The application fetches sales data from a large Amazon DynamoDB table. The table has a composite key that uses a field named ItemName as the primary key and a field named Manufacturer as the sort key.
The developer has observed a recent increase in ProvisionedThroughputExceededException error rates. The increased error rate corresponds to a recent increase in read capacity unit (RCU) consumption.
The developer needs to resolve the increased error rate and RCU consumption. The developer can tolerate serving stale data to customers.
Which solution will meet these requirements MOST cost-effectively?

A. Use a scan operation and eventually consistent reads to fetch the sales data.
B. Use a query operation and strongly consistent reads to fetch the sales data.
C. Use a query operation and eventually consistent reads to fetch the sales data.
D. Use a scan operation and strongly consistent reads to fetch the sales data.

Answer: C

Explanation:
A query operation efficiently retrieves items by using the table's key structure instead of reading the entire table. Eventually consistent reads consume less read capacity than strongly consistent reads and are appropriate because stale data is acceptable, making this the most cost-effective way to reduce RCU consumption and throughput errors.

NEW QUESTION # 791
......

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