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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns
Development with AWS Services	32%	- AWS core services development 1. Amazon S3 usage in applications 2. AWS Lambda functions development 3. Amazon DynamoDB integration patterns - Application development and integration 1. Event-driven architectures with SNS/SQS 2. API Gateway and REST APIs
Security	26%	- Data security 1. Encryption using AWS KMS 2. Secure API access patterns - Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication
Deployment	24%	- Infrastructure as code 1. AWS CloudFormation templates - CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows

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Amazon AWS Certified Developer - Associate Sample Questions (Q50-Q55):

NEW QUESTION # 50
A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.
How should the developer configure the Lambda function to detect changes to the DynamoDB table?

A. Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule. Conned to the DynamoDB table from the Lambda function to detect changes.
B. Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.
C. Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.
D. Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table. Configure the delivery stream destination as the Lambda function.

Answer: C

NEW QUESTION # 51
A company is creating an application that processes csv files from Amazon S3 A developer has created an S3 bucket The developer has also created an AWS Lambda function to process the csv files from the S3 bucket Which combination of steps will invoke the Lambda function when a csv file is uploaded to Amazon S3?
(Select TWO.)

A. Add a trigger to the existing Lambda function. Set the trigger type to EventBridge Select the Amazon EventBridge rule.
B. Create a new Lambda function to scan the S3 bucket for recently added S3 objects
C. Add S3 Lifecycle rules to invoke the existing Lambda function
D. Schedule an Amazon EventBridge rule to run a new Lambda function to scan the S3 bucket.
E. Create an Amazon EventBridge rule Configure the rule with a pattern to match the S3 object created event

Answer: A,E

Explanation:
Explanation
To invoke a Lambda function when a csv file is uploaded to Amazon S3, you can use Amazon EventBridge to create a rule that matches the S3 object created event. Then, you can add a trigger to the existing Lambda function and set the trigger type to EventBridge. This way, the Lambda function will be invoked whenever a new csv file is added to the S3 bucket. References
* Tutorial: Using an Amazon S3 trigger to invoke a Lambda function
* How to trigger my Lambda Function once the file is uploaded to s3 bucket
* Lambda Function to be invoked or triggered by S3(csv file upload ...

NEW QUESTION # 52
A developer is responsible for the performance of an AWS Lambda function that was written in the latest version of .NET. The Lambda function processes data in an Amazon S3 bucket sporadically throughout each day. The Lambda function processing workload experiences cold start times of up to 10 seconds. Other workloads that are dependent on the function are latency sensitive and are negatively affected by the workload. The developer needs to improve the performance of the Lambda function. Which solution will meet this requirement?

A. Publish the function and create an alias. Enable Lambda SnapStart on the published function version
B. Configure Lambda layers to separate .NET dependencies from Lambda code
C. Add the Lambda function to a VPC. Configure an Amazon S3 gateway endpoint
D. Enable reserved concurrency on the function

Answer: A

Explanation:
Lambda SnapStart reduces cold-start latency by initializing the function when a version is published and caching an encrypted snapshot of the initialized execution environment.
Subsequent invocations restore from the snapshot, providing significantly faster startup for sporadically invoked .NET functions without continuously provisioned capacity.

NEW QUESTION # 53
A company is developing a serverless application that consists of various AWS Lambda functions behind Amazon API Gateway APIs. A developer needs to automate the deployment of Lambda function code. The developer will deploy updated Lambda functions with AWS CodeDeploy. The deployment must minimize the exposure of potential errors to end users. When the application is in production, the application cannot experience downtime outside the specified maintenance window.
Which deployment configuration will meet these requirements with the LEAST deployment time?

A. Use the AWS CodeDeploy all-at-once deployment configuration to shift all traffic to the updated versions immediately.
B. Use the AWS CodeDeploy linear deployment configuration to shift 10% of the traffic every minute.
C. Use the AWS CodeDeploy in-place deployment configuration for the Lambda functions. Shift all traffic immediately after deployment.
D. Use the AWS CodeDeploy predefined canary deployment configuration to shift 10% of the traffic immediately and shift the remaining traffic after 5 minutes.

Answer: D

NEW QUESTION # 54
A developer needs to troubleshoot errors within Amazon CloudWatch Logs log data. The logs record attempts by an AWS Lambda function to connect to a REST-based service that a third party hosts.
Each line of the log data displays the HTTP verb used, the URL accessed, and the HTTP status code. The developer needs to create a summary of requests that failed because of a problem on the third party's side. The developer must produce the summary every day.
Which solution will meet these requirements?

A. Use CloudWatch Contributor Insights to parse the log data. Map the status code data to a field.
Set the status code as the contribution. Create a filter that matches the range of 400 status codes.
B. Use CloudWatch Logs Insights to parse the log data. Filter results that match the range of 400 status codes. Use the pet and bin functions to create the summary.
C. Use CloudWatch Contributor Insights to parse the log data. Map the status code data to a field.Set the status code as the contribution. Create a filter that matches the range of 500 status codes.
D. Use CloudWatch Logs Insights to parse the log data. Filter results that match the range of 500 status codes. Use the count and bin functions to create the summary

Answer: D

Explanation:
HTTP 500-level status codes indicate server-side errors, which are problems on the third party's side. Using CloudWatch Logs Insights, the developer can filter logs by 500 status codes, then use the count and bin() functions to generate a daily summary of those failed requests. This provides the required insight with minimal setup.

NEW QUESTION # 55
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