AWS Certified Developer Associate

AWS Certified Developer Associate practice questions, page 18 of 18, with answer review and explanations.

Question 86

An ecommerce application is running behind an Application Load Balancer. A developer observes some unexpected load on the application during non-peak hours. The developer wants to analyze patterns for the client IP addresses that use the application. Which HTTP header should the developer use for this analysis?

  1. The X-Forwarded-Proto header
  2. The X-Forwarded-Host header
  3. The X-Forwarded-For header
  4. The X-Forwarded-Port header

Question 87

A developer needs to create an application that supports Security Assertion Markup Language (SAML) and authentication with social media providers. It must also allow access to AWS services, such as Amazon DynamoDB. Which AWS service or feature will meet these requirements with the LEAST amount of additional coding?

  1. AWS AppSync
  2. Amazon Cognito identity pools
  3. Amazon Cognito user pools
  4. Amazon Lambda@Edge

Question 88

A developer is designing a serverless application for an ecommerce website. An Amazon API Gateway API exposes AWS Lambda functions for billing, payment, and user operations. The website features shopping carts for the users. The shopping carts must be stored for extended periods of time and will be retrieved frequently by the front-end application. The load on the application will vary significantly based on the time of day and the promotional sales that are offered on the website. The application must be able to scale automatically to meet these changing demands. Which solution will meet these requirements?

  1. Store the data objects on an Amazon RDS DB instance. Cache the data objects in memory by using Amazon ElastiCache.
  2. Store the data objects on Amazon EC2 instances behind an Application Load Balancer. Use session affinity (sticky sessions) for each user's shopping cart.
  3. Store the data objects in Amazon S3 buckets. Cache the data objects by using Amazon CloudFront with the maximum TTL.
  4. Store the data objects in Amazon DynamoDB tables. Cache the data objects by using DynamoDB Accelerator (DAX).