Solution Architect AWS interview questions and answers[25Q-Part2]!!

26. How would you architect a solution for running resource-intensive, HPC (High-Performance Computing) workloads on AWS?

Ans: I’d use EC2 instances optimized for HPC workloads and set up a parallel file system like Lustre. I’d consider using AWS Batch for job scheduling and management, and implement Auto Scaling for resource optimization.

27. Design an architecture for a serverless data lake with automated data ingestion and transformation.

Ans: I’d use Amazon S3 for storing raw data, Amazon Kinesis or Data Firehose for data ingestion, AWS Glue for ETL jobs, and Amazon Athena or Redshift Spectrum for querying. This serverless approach simplifies data management and ensures cost-effectiveness.

28. How would you design a solution for serverless, real-time analytics on large volumes of streaming data using AWS services?

Ans: I’d use Kinesis for data ingestion, AWS Lambda for real-time processing, and services like Amazon Kinesis Data Analytics or Elasticsearch for real-time analytics. This architecture ensures timely insights from streaming data.

29. Explain how to implement a secure, cross-account data sharing mechanism for a data analytics platform in AWS.

Ans: I’d set up resource sharing between AWS accounts using AWS Resource Access Manager and implement data encryption for data at rest and in transit. Proper IAM roles and permissions would…