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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q466-Q471):

NEW QUESTION # 466
When using the AWS Encryption SDK how does the developer keep track of the data encryption keys used to encrypt data?

A. The data encryption key is stored m the user data for the EC2 instance.
B. The SDK encrypts the data encryption key and stores it (encrypted) as part of the resumed ophertext.
C. The developer must manually keep Hack of the data encryption keys used for each data object.
D. The SDK stores the data encryption keys automaticity in Amazon S3.

Answer: B

Explanation:
This solution will meet the requirements by using AWS Encryption SDK, which is a client-side encryption library that enables developers to encrypt and decrypt data using data encryption keys that are protected by AWS Key Management Service (AWS KMS). The SDK encrypts the data encryption key with a customer master key (CMK) that is managed by AWS KMS, and stores it (encrypted) as part of the returned ciphertext.
The developer does not need to keep track of the data encryption keys used to encrypt data, as they are stored with the encrypted data and can be retrieved and decrypted by using AWS KMS when needed. Option A is not optimal because it will require manual tracking of the data encryption keys used for each data object, which is error-prone and inefficient. Option C is not optimal because it will store the data encryption keys automatically in Amazon S3, which is unnecessary and insecure as Amazon S3 is not designed for storing encryption keys. Option D is not optimal because it will store the data encryption key in the user data for the EC2 instance, which is also unnecessary and insecure as user data is not encrypted by default.

NEW QUESTION # 467
A developer is building a new application on AWS. The application uses an AWS Lambda function that retrieves information from an Amazon DynamoDB table. The developer hard coded the DynamoDB table name into the Lambda function code. The table name might change over time. The developer does not want to modify the Lambda code if the table name changes.
Which solution will meet these requirements MOST efficiently?

A. Create a Lambda environment variable to store the table name. Use the standard method for the programming language to retrieve the variable.
B. Store the table name in a file. Store the file in the /tmp folder. Use the SDK for the programming language to retrieve the table name.
C. Create a global variable that is outside the handler in the Lambda function to store the table name.
D. Create a file to store the table name. Zip the file and upload the file to the Lambda layer. Use the SDK for the programming language to retrieve the table name.

Answer: A

Explanation:
Explanation
The solution that will meet the requirements most efficiently is to create a Lambda environment variable to store the table name. Use the standard method for the programming language to retrieve the variable. This way, the developer can avoid hard-coding the table name in the Lambda function code and easily change the table name by updating the environment variable. The other options either involve storing the table name in a file, which is less efficient and secure than using an environment variable, or creating a global variable, which is not recommended as it can cause concurrency issues.

NEW QUESTION # 468
A developer is creating an AWS CloudFormation template to deploy Amazon EC2 instances across multiple AWS accounts. The developer must choose the EC2 instances from a list of approved instance types.
How can the developer incorporate the list of approved instance types in the CloudFormation template?

A. In the CloudFormation template, create a separate parameter for each EC2 instance type in the list.
B. Create a separate CloudFormation template for each EC2 instance type in the list.
C. In the Resources section of the CloudFormation template, create resources for each EC2 instance type in the list.
D. In the CloudFormation template, create a parameter with the list of EC2 instance types as AllowedValues.

Answer: D

Explanation:
Explanation
In the CloudFormation template, the developer should create a parameter with the list of approved EC2 instance types as AllowedValues. This way, users can select the instance type they want to use when launching the CloudFormation stack, but only from the approved list.

NEW QUESTION # 469
A company runs an application on AWS The application uses an AWS Lambda function that is configured with an Amazon Simple Queue Service (Amazon SQS) queue called high priority queue as the event source A developer is updating the Lambda function with another SQS queue called low priority queue as the event source The Lambda function must always read up to 10 simultaneous messages from the high priority queue before processing messages from low priority queue. The Lambda function must be limited to 100 simultaneous invocations.
Which solution will meet these requirements'?

A. Set the delivery delay to 0 seconds for the high priority queue and to 10 seconds for the low priority queue
B. Set the event source mapping maximum concurrency to 10 for the high priority queue and to 90 for the low priority queue
C. Set the event source mapping batch size to 10 for the high priority queue and to 90 for the low priority queue
D. Set the event source mapping batch window to 10 for the high priority queue and to 90 for the low priority queue

Answer: B

Explanation:
* Lambda Concurrency: The 'maximum concurrency' setting in event source mappings controls the maximum number of simultaneous invocations Lambda allows for that specific source.
* Prioritizing Queues: Setting a lower maximum concurrency for the 'high priority queue' ensures it's processed first while allowing more concurrent invocations from the 'low priority queue'.
* Batching: Batch size settings affect the number of messages Lambda retrieves from a queue per invocation, which is less relevant to the prioritization requirement.
References:
Lambda Event Source Mappings: https://docs.aws.amazon.com/lambda/latest/dg/invocation- eventsourcemapping.html Lambda Concurrency: https://docs.aws.amazon.com/lambda/latest/dg/configuration-concurrency.html

NEW QUESTION # 470
A developer built an application by using multiple AWS Lambda functions. The Lambda functions must access dynamic configuration data at runtime. The data is maintained as a 6 KB JSON document in AWS AppConfig. The configuration data needs to be updated without requiring the redeployment of the application.
The developer needs a solution that will give the Lambda functions access to the dynamic configuration data.
What should the developer do to meet these requirements with the LEAST development effort?

A. Migrate the configuration file to a Lambda deployment package. Read the file from the file system at runtime.
B. Configure the AWS AppConfig Agent Lambda extension. Access the dynamic configuration data by calling the extension on a local host.
C. Migrate the document from AWS AppConfig to a Lambda environment variable. Read the document at the runtime.
D. Use the AWS X-Ray SDK to call the AWS AppConfig APIs. Retrieve the configuration file at runtime.

Answer: B

Explanation:
https://docs.aws.amazon.com/appconfig/latest/userguide/appconfig-integration-lambda- extensions.html

NEW QUESTION # 471
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