Case type Description Solution Application migration A company plans to migrate its legacy application to AWS. The application is data-intensive and requires low-latency access for users across the globe. What AWS services and architecture would you recommend to ensure high availability and low latency? EC2 for compute S3 for storage CloudFront for content delivery Route 53 for DNS routing Disaster recovery Your organization wants to implement a disaster recovery plan for its critical AWS workloads with an RPO (Recovery Point Objective) of 5 minutes and an RTO (Recovery Time Objective) of 1 hour. Describe the AWS services you would use to meet these objectives. Backup for regular backups of critical data and systems with a 5-minute recovery points objective (RPO) CloudFormation to define and provision the disaster recovery infrastructure across multiple regions Enable Cross Region Replication in S3 to replicate backups across regions Setup CloudWatch alarms to monitor systems and automatically trigger failover if there are issues DDos attacks protection Consider a scenario where you need to design a scalable and secure web application infrastructure on AWS. The application should handle sudden spikes in traffic and protect against DDoS attacks. What AWS services and features would you use in your design? CloudFront and Route 53 for content delivery Auto Scaling group of EC2 across multiple availability zones for scalability Shield for DDoS protection CloudWatch for monitoring Web Application Firewall (WAF) for filtering malicious requests Real-time data analytics An IoT startup wants to process and analyze real-time data from thousands of sensors across the globe. The solution needs to be highly scalable and cost-effective. Which AWS services would you use to build this platform, and how would you ensure it scales with demand? Kinesis for real-time data ingestion EC2 and EMR for distributed processing Redshift for analytical queries Auto Scaling to help scale up and scale down resources based on demand Large-volume data analysis A financial services company requires a data analytics solution on AWS to process and analyze large volumes of transaction data in real time. The solution must also comply with stringent security and compliance standards. How would you architect this solution using AWS, and what measures would you put in place to ensure security and compliance? Kinesis and Kafka for real-time data ingestion EMR for distributed data processing Redshift for analytical queries CloudTrail and Config to provide compliance monitoring and configuration management Leverage multiple availability zones and IAM policies for access control.

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