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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Development with AWS Services32%- Interact with AWS data services
  • 1. Implement caching and data storage strategies
  • 2. Work with Amazon DynamoDB, Amazon S3
- Write code for applications hosted on AWS
  • 1. Develop serverless applications
  • 2. Implement architectural patterns
  • 3. Use AWS SDKs and APIs
- Integrate AWS services into applications
  • 1. Implement messaging and event-driven workflows
  • 2. Use AWS Lambda, API Gateway, Amazon EventBridge
Topic 2: Troubleshooting and Optimization18%- Debug and resolve errors
  • 1. Identify and fix code defects
  • 2. Resolve integration and configuration problems
- Optimize application performance
  • 1. Optimize resource usage and costs
  • 2. Improve latency and throughput
- Troubleshoot application issues
  • 1. Analyze logs, metrics, and traces
  • 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
Topic 3: Security26%- Apply security best practices
  • 1. Follow AWS Well-Architected Framework security principles
  • 2. Validate application security configurations
- 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 4: Deployment24%- Prepare application artifacts for deployment
  • 1. Package code and dependencies
  • 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
- Implement CI/CD pipelines
  • 1. Automate deployment and testing workflows
  • 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- Deploy applications on AWS
  • 1. Perform safe updates and rollbacks
  • 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk

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Amazon AWS Certified Developer - Associate Sample Questions (Q340-Q345):

NEW QUESTION # 340
A company must encrypt sensitive data that the company will store in Amazon S3. A developer must retain total control over the company's AWS Key Management Service (AWS KMS) key and the company's data keys. The company currently uses an on-premises hardware security module (HSM) solution. The company wants to move its key management onto AWS.
Which solution will meet these requirements?

Answer: A

Explanation:
https://docs.aws.amazon.com/cloudhsm/latest/userguide/best-practices.html Q: Can other AWS services use CloudHSM to store and manage keys?
AWS services integrate with AWS Key Management Service, which in turn is integrated with AWS CloudHSM through the KMS custom key store feature. If you want to use the server-side encryption offered by many AWS services (such as EBS, S3, or Amazon RDS), you can do so by configuring a custom key store in AWS KMS.


NEW QUESTION # 341
A company with multiple branch locations has an analytics and reporting application. Each branch office pushes a sales report to a shared Amazon S3 bucket at a predefined time each day. The company has developed an AWS Lambda function that analyzes the reports from all branch offices in a single pass. The Lambda function stores the results in a database.
The company needs to start the analysis once each day at a specific time.
Which solution will meet these requirements MOST cost-effectively?

Answer: B

Explanation:
The requirement is to run a single analysis job once per day at a specific time, after branch offices have uploaded their daily reports. The most cost-effective and straightforward way to trigger a Lambda function on a fixed schedule is to use Amazon EventBridge scheduled rules (cron or rate expressions). With a scheduled rule, EventBridge invokes the Lambda function at the exact predefined time each day without requiring any continuously running resources, polling logic, or additional orchestration unless it is needed.
Option D fits perfectly: an EventBridge schedule is purpose-built for time-based triggers, and you pay only for the invocations and any EventBridge rule evaluations according to AWS pricing, with minimal operational overhead. The Lambda function will run exactly once each day and can then read all relevant objects from the S3 bucket and process them in a single pass as designed.
Option A (S3 event notifications) triggers the Lambda function per upload, which is not aligned with "single pass once per day." It could cause multiple invocations and additional cost and complexity (coordination, waiting for all branches, handling partial arrival). Option B (Step Functions) can schedule via EventBridge as well, but Step Functions introduces additional state machine costs and is unnecessary if the requirement is simply a scheduled single Lambda invocation. Option C is the least cost-effective: running continuously to
"wait" until a time wastes compute time and increases cost, and it is not an event-driven design.
Therefore, D is the most cost-effective solution: use an EventBridge scheduled rule to invoke the Lambda function once daily at the predefined time.


NEW QUESTION # 342
An Amazon Kinesis Data Firehose delivery stream is receiving customer data that contains personally identifiable information. A developer needs to remove pattern-based customer identifiers from the data and store the modified data in an Amazon S3 bucket.
What should the developer do to meet these requirements?

Answer: D

Explanation:
Amazon Kinesis Data Firehose is a service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Amazon Kinesis Data Analytics. The developer can implement Kinesis Data Firehose data transformation as an AWS Lambda function. The function can remove pattern-based customer identifiers from the data and return the modified data to Kinesis Data Firehose. The developer can set an Amazon S3 bucket as the destination of the delivery stream.


NEW QUESTION # 343
A developer is creating an AWS Lambda function that searches for items from an Amazon DynamoDB table that contains customer contact information. The DynamoDB table items have the customer's email_address as the partition key and additional properties such as customer_type, name and job_title.
The Lambda function runs whenever a user types a new character into the customer_type text input. The developer wants the search to return partial matches of all the email_address property of a particular customer_type. The developer does not want to recreate the DynamoDB table.
What should the developer do to meet these requirements?

Answer: C

Explanation:
By adding a global secondary index (GSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key, the developer can perform a query operation on the GSI using the Begins_with key condition expression with the email_address property. This will return partial matches of all email_address properties of a specific customer_type.


NEW QUESTION # 344
A developer is optimizing an AWS Lambda function and wants to test the changes in production on a small percentage of all traffic. The Lambda function serves requests to a REST API in Amazon API Gateway. The developer needs to deploy their changes and perform a test in production without changing the API Gateway URL.
Which solution will meet these requirements?

Answer: D

Explanation:
A Lambda alias is a pointer to a specific Lambda function version or another alias1. A Lambda alias allows you to invoke different versions of a function using the same name1. You can also split traffic between two aliases by assigning weights to them1.
In this scenario, the developer needs to test their changes in production on a small percentage of all traffic without changing the API Gateway URL. To achieve this, the developer can follow these steps:
Define an alias on the $LATEST version of the Lambda function. This will create a new alias that points to the latest code of the function.
Update the API Gateway endpoint to reference the new Lambda function alias. This will make the API Gateway invoke the alias instead of a specific version of the function.
Upload and publish the optimized Lambda function code. This will update the $LATEST version of the function with the new code.
On the production API Gateway stage, define a canary release and set the percentage of traffic to direct to the canary release. This will enable API Gateway to perform a canary deployment on a new API2. A canary deployment is a software development strategy in which a new version of an API is deployed for testing purposes, and the base version remains deployed as a production release for normal operations on the same stage2. The canary release receives a small percentage of API traffic and the production release takes up the rest2.
Update the API Gateway endpoint to use the $LATEST version of the Lambda function. This will make the canary release invoke the latest code of the function, which contains the optimized changes.
Publish to the canary stage. This will deploy the changes to a subset of users for testing.
By using this solution, the developer can test their changes in production on a small percentage of all traffic without changing the API Gateway URL. The developer can also monitor and compare metrics between the canary and production releases, and promote or disable the canary as needed2.


NEW QUESTION # 345
......

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