Question 1

A developer is building an application on AWS. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SQS) queue.

The Lambda function sometimes fails or times out. The developer needs to figure out why the Lambda function fails to process some messages.

Which solution will meet these requirements with the LEAST operational overhead?

Options :

A : Increase the maximum timeout of the Lambda function to 15 minutes. Check the AWS CloudTrail event history for error details.

B : Increase the visibility timeout of the SQS queue. Check logs in Amazon CloudWatch Logs for error details.

C : Create a dead-letter queue. Configure the Lambda function to send the failed messages to the dead-letter queue.

D : Create an Amazon DynamoDB table. Update the Lambda function to send the failed messages to the DynamoDB table.

Answer: B

Question 2

A developer has created an AWS Lambda function that is written in Python. The Lambda function reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB table. The function is successfully invoked from an S3 event notification when an object is created. However, the function fails when it attempts to write to the DynamoDB table.

What is the MOST likely cause of this issue?

Options :

A : The Lambda function-s concurrency limit has been exceeded.

B : DynamoDB table requires a global secondary index (GSI) to support writes.

C : The Lambda function does not have IAM permissions to write to DynamoDB.

D : The DynamoDB table is not running in the same Availability Zone as the Lambda function.

Answer: D

Question 3

A website serves static content from an Amazon Simple Storage Service (Amazon S3) bucket and dynamic content from an application load balancer. The user base is spread across the world and latency should be minimized for a better user experience.

Which technology/service can help access the static and dynamic content while keeping the data latency low?

Options :

A : Use CloudFront-s Lambda@Edge feature to server data from S3 buckets and load balancer programmatically on-the-fly

B : Use Global Accelerator to transparently switch between S3 bucket and load balancer for different data needs

C : Use CloudFront-s Origin Groups to group both static and dynamic requests into one request for further processing

D : Configure CloudFront with multiple origins to serve both static and dynamic content at low latency to global users

Answer: D

Question 4

An application needs to use the IP address of the client in its processing. The application has been moved into AWS and has been placed behind an Application Load Balancer (ALB). However, all the client IP addresses now appear to be the same. The application must maintain the ability to scale horizontally.

Based on this scenario, what is the MOST cost-effective solution to this problem?

Options :

A : Remove the application from the ALB. Delete the ALB and change Amazon Route 53 to direct traffic to the instance running the application.

B : Remove the application from the ALCreate a Classic Load Balancer in its place. Direct traffic to the application using the HTTP protocol.

C : Alter the application code to inspect the X-Forwarded-For header. Ensure that the code can work properly if a list of IP addresses is passed in the header.

D : Alter the application code to inspect a custom header. Alter the client code to pass the IP address in the custom header.

Answer: C

Question 5

A Developer has recently created an application that uses an AWS Lambda function, an Amazon DynamoDB table, and also sends notifications using Amazon SNS. The application is not working as expected and the Developer needs to analyze what is happening across all components of the application.

What is the BEST way to analyze the issue?

Options :

A : Create an Amazon CloudWatch Events rule

B : Assess the application with Amazon Inspector

C : Enable X-Ray tracing for the Lambda function

D : Monitor the application with AWS Trusted Advisor

Answer: C

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