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Amazon DVA-C02 Exam Syllabus Topics:

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

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최신 AWS Certified Associate DVA-C02 무료샘플문제 (Q24-Q29):

질문 # 24
A developer manages an application that writes customer orders to an Amazon DynamoDB table. The orders use customerId as the partition key, orderId as the sort key, and order_date as an attribute. A new access pattern requires accessing data by order_date and orderId. The developer needs to implement a new AWS Lambda function to support the new access pattern.
How should the developer support the new access pattern in the MOST operationally efficient way?

A. Enable DynamoDB Streams on the table. Choose the new and old images information to write to the DynamoDB stream. Write the new Lambda function to query the DynamoDB stream.
B. Write the new Lambda function to scan the DynamoDB table. In the Lambda function, write a method to retrieve and combine results by order_date and orderId.
C. Add a new local secondary index (LSI) to the DynamoDB table that specifies order_date as the partition key and orderId as the sort key. Write the new Lambda function to query the new LSI index.
D. Add a new global secondary index (GSI) to the DynamoDB table that specifies order_date as the partition key and orderId as the sort key. Write the new Lambda function to query the new GSI index.

정답：D

설명：
A global secondary index is the correct way to support a new DynamoDB access pattern that uses a different partition key from the base table. The existing table is keyed by customerId and orderId, but the new Lambda function must query by order_date and orderId. An LSI cannot solve this because an LSI must use the same partition key as the base table and only allows an alternate sort key. A table scan is operationally inefficient and becomes expensive and slow as the table grows. DynamoDB Streams are for change data capture and event-driven processing, not for querying historical records by a new key pattern. A GSI with order_date as the partition key and orderId as the sort key directly supports efficient Query operations.

질문 # 25
A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.
Which solution will meet these requirements?

A. Create two AWS Lambda functions one to delete the items and one to process the items Create a DynamoDB stream Use the Deleteltem API operation to delete the items based on the expirationDate attribute Use the GetRecords API operation to get the items from the DynamoDB stream and process them
B. Enable TTL on the expirationDate attribute in the table Specify an Amazon Simple Queue Service (Amazon SQS> dead-letter queue as the target to delete the items Create an AWS Lambda function to process the items
C. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.
D. Create two AWS Lambda functions, one to delete the items and one to process the items. Create an Amazon EventBndge scheduled rule to invoke the Lambda Functions Use the Deleteltem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.

정답：C

설명：
* TTL for Automatic Deletion: DynamoDB's Time-to-Live effortlessly deletes expired items without manual intervention.
* DynamoDB Stream: Captures changes to the table, including deletions of expired items, triggering downstream actions.
* Lambda for Processing: A Lambda function connected to the stream provides custom logic for handling the deleted items.
* Code Efficiency: This solution leverages native DynamoDB features and stream-based processing, minimizing the need for custom code.

질문 # 26
A company's website runs on an Amazon EC2 instance and uses Auto Scaling to scale the environment during peak times. Website users across the world ate experiencing high latency flue lo sialic content on theEC2 instance. even during non-peak hours.
When companion of steps mill resolves the latency issue? (Select TWO)

A. Double the Auto Scaling group's maximum number of servers
B. Store the application's sialic content in Amazon S3
C. Create an Amazon Cloudfront distribution to cache the static content
D. Scale vertically by resizing the EC2 instances
E. Host the application code on AWS lambda

정답：B,C

설명：
The combination of steps that will resolve the latency issue is to create an Amazon CloudFront distribution to cache the static content and store the application's static content in Amazon S3. This way, the company can use CloudFront to deliver the static content from edge locations that are closer to the website users, reducing latency and improving performance. The company can also use S3 to store the static content reliably and cost- effectively, and integrate it with CloudFront easily. The other options either do not address the latency issue, or are not necessary or feasible for the given scenario.
Reference: Using Amazon S3 Origins and Custom Origins for Web Distributions

질문 # 27
A developer is writing an application that will process data delivered into an Amazon S3 bucket. The data is delivered approximately 10 times a day, and the developer expects the data will be processed in less than 1 minute, on average. How can the developer deploy and invoke the application with the lowest cost and lowest latency?

A. Deploy the application onto an Amazon EC2 instance and have it poll the S3 bucket for new objects.
B. Deploy the application as an AWS Lambda function and invoke it with an S3 event notification.
C. Deploy the application as an AWS Lambda function and invoke it with an Amazon CloudWatch alarm triggered by an S3 object upload.
D. Deploy the application as an AWS Lambda function and invoke it with an Amazon CloudWatch scheduled event.

정답：B

설명：
S3 Event Notifications provide the lowest latency because the Lambda function is triggered immediately upon the object ' s creation. Because the application runs only 10 times a day for about 1 minute per run, AWS Lambda is significantly cheaper than an EC2 instance, which would incur costs even when idle. Scheduled events (Option C) would introduce latency because the function might not run immediately when data arrives.

질문 # 28
An application is using Amazon Cognito user pools and identity pools for secure access. A developer wants to integrate the user-specific file upload and download features in the application with Amazon S3. The developer must ensure that the files are saved and retrieved in a secure manner and that users can access only their own files. The file sizes range from 3 KB to 300 MB.
Which option will meet these requirements with the HIGHEST level of security?

A. Save the details of the uploaded files in a separate Amazon DynamoDB table. Filter the list of files in the user interface (UI) by comparing the current user ID with the user ID associated with the file in the table.
B. Use an IAM policy within the Amazon Cognito identity prefix to restrict users to use their own folders in Amazon S3.
C. Use Amazon API Gateway and an AWS Lambda function to upload and download files. Validate each request in the Lambda function before performing the requested operation.
D. Use S3 Event Notifications to validate the file upload and download requests and update the user interface (UI).

정답：B

설명：
This solution ensures that users can access only their own files in a secure manner.
https://docs.aws.amazon.com/cognito/latest/developerguide/amazon-cognito-integrating-user- pools-with-identity-pools.html

질문 # 29
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