AWS Data Services Questions

Specialized knowledge of Amazon Web Services targeted at data storage, processing, analytics, and streaming. This covers object storage and data lake design with Simple Storage Service including storage classes, lifecycle and partitioning strategies; analytics and warehousing with Redshift including columnar storage, distribution styles, compression, query optimization and concurrency considerations; big data processing with Elastic MapReduce for managed Spark and Hadoop clusters and associated tuning; serverless extract transform and load using Glue and data catalog concepts, schema management and job orchestration; and real time data ingestion and processing with Kinesis including producers, shards, retention, consumers, and stream processing patterns. Candidates should understand when to choose batch versus streaming architectures, how to integrate services into end to end data pipelines, trade offs around scalability, latency, consistency, security, data governance and cost optimization, and monitoring and debugging techniques for data workloads.