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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- 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 - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows
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 - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies
Topic 3: Security	26%	- Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit
Topic 4: Troubleshooting and Optimization	18%	- Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects - Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs - Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces

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Amazon AWS Certified Developer - Associate Sample Questions (Q190-Q195):

NEW QUESTION # 190
An online food company provides an Amazon API Gateway HTTP API to receive orders for partners. The API is integrated with an AWS Lambda function. The Lambda function stores the orders in an Amazon DynamoDB table.
The company expects to onboard additional partners. Some of the partners require additional Lambda functions to receive orders. The company has created an Amazon S3 bucket. The company needs to store all orders and updates in the S3 bucket for future analysis.
How can the developer ensure that all orders and updates are stored to Amazon S3 with the LEAST development effort?

A. Use Amazon Kinesis Data Streams to create a new data stream. Modify the Lambda function to publish orders to the data stream. Configure the data stream to write to the S3 bucket.
B. Create a new Lambda function and a new API Gateway API endpoint. Configure the new Lambda function to write to the S3 bucket. Modify the original Lambda function to post updates to the new API endpoint.
C. Modify the Lambda function to publish to a new Amazon Simple Notification Service (Amazon SNS) topic as the Lambda function receives orders. Subscribe a new Lambda function to the topic. Configure the new Lambda function to write to the S3 bucket as updates come through the topic.
D. Enable DynamoDB Streams on the DynamoDB table. Create a new Lambda function. Associate the stream's Amazon Resource Name (ARN) with the Lambda function. Configure the Lambda function to write to the S3 bucket as records appear in the table's stream.

Answer: D

Explanation:
By enabling DynamoDB Streams on the DynamoDB table, you can capture changes (orders and updates) to the table. Whenever a new order or an update is made to the table, a stream record is generated. You can then create a new Lambda function, associate the stream's ARN with this Lambda function, and configure it to write the stream records (orders and updates) to the S3 bucket. This approach leverages built-in features of DynamoDB and Lambda, minimizing the development effort required to achieve the desired outcome.

NEW QUESTION # 191
A mobile app stores blog posts in an Amazon DynacnoDB 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 man 48 hours?

A. For each item add a new attribute of type. Number that has 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.
B. For each item add a new attribute of type. String that has a timestamp that its set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are Oder than 48 hours by using the Batch Write item API operating. Place the script in a container image. Schedule an Amazon Elastic Container Service (Amazon ECS) task on AWS Far gate that invokes the container every 5 minutes.
C. 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 Batch Write item API operation Schedule me function with an Amazon CloudWatch event every minute.
D. 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 order than 48 hours by using the Balch Write ltem API operation. Schedule a cron job on an Amazon EC2 instance once an hour to start the script.

Answer: A

Explanation:
This solution will meet the requirements by using the Time to Live (TTL) feature of DynamoDB, which enables automatically deleting items from a table after a certain time period. The developer can add a new attribute of type Number that has a timestamp that is set to 48 hours after the blog post creation time, which represents the expiration time of the item. The developer can configure the DynamoDB table with a TTL that references the new attribute, which instructs DynamoDB to delete the item when the current time is greater than or equal to the expiration time. This solution is also cost-effective as it does not incur any additional charges for deleting expired items. Option A is not optimal because it will create a script to find and remove old posts with a table scan and a batch write item API operation, which may consume more read and write capacity units and incur more costs. Option B is not optimal because it will use Amazon Elastic Container Service (Amazon ECS) and AWS Fargate to run the script, which may introduce additional costs and complexity for managing and scaling containers. Option C is not optimal because it will create a global secondary index (GSI) that uses the expiration time as a sort key, which may consume more storage space and incur more costs.

NEW QUESTION # 192
A developer deployed an application to an Amazon EC2 instance The application needs to know the public IPv4 address of the instance How can the application find this information?

A. Query
the Amazon Machine Image (AMI) information from http://169.254.169.254/latest/meta-data/ami/.
B. Query the instance metadata from http./M69.254.169.254. latestmeta-data/.
C. Check the hosts file of the operating system
D. Query the instance user data from http '169 254.169 254. latest/user-data/

Answer: B

Explanation:
Explanation
The
instance metadata service provides information about the EC2 instance, including the public IPv4 address, which can be obtained by querying the endpoint http://169.254.169.254/latest/meta-data/public-ipv4.
References
* Instance metadata and user data
* Get Public IP Address on current EC2 Instance
* Get the public ip address of your EC2 instance quickly

NEW QUESTION # 193
A developer has built an application that inserts data into an Amazon DynamoDB table. The table is configured to use provisioned capacity. The application is deployed on a burstable nano Amazon EC2 instance. The application logs show that the application has been failing because of a ProvisionedThroughputExceededException error.
Which actions should the developer take to resolve this issue? (Choose two.)

A. Increase the frequency of requests to DynamoDB by decreasing the retry delay.
B. Reduce the frequency of requests to DynamoDB by implementing exponential backoff.
C. Move the application to a larger EC2 instance.
D. Change the capacity mode of the DynamoDB table from provisioned to on-demand.
E. Increase the number of read capacity units (RCUs) that are provisioned for the DynamoDB table.

Answer: B,E

NEW QUESTION # 194
Given the source code for an AWS Lambda function in the local file store.py containing a handler function called get_store and the following AWS CloudFormation template:

What should be done to prepare the template so that it can be deployed using the AWS CLI command aws cloudformation deploy?

A. Use aws lambda zip to package the source file together with the CloudFormation template and deploy the resulting zip archive.
B. Use aws cloudformation compile to base64 encode and embed the source file into a modified CloudFormation template.
C. Use aws cloudformation package to upload the source code to an Amazon S3 bucket and produce a modified CloudFormation template
D. Use aws server less create-package to embed the source file directly into the existing CloudFormation template.

Answer: C

Explanation:
The AWS SAM (Serverless Application Model) template shown uses Transform:
AWS::Serverless-2016-10-31, which requires preparing the Lambda source code for deployment using the command:
aws cloudformation package --template-file template.yaml --s3-bucket YOUR_BUCKET_NAME -- output-template-file packaged.yaml This command uploads the source code (e.g., store.py) to an S3 bucket and replaces the CodeUri in the template with a reference to the S3 location, producing a modified CloudFormation template that can then be deployed using aws cloudformation deploy.

NEW QUESTION # 195
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