Real questions from top companies · hard
Design an end-to-end data pipeline using Glue, Lambda, EC2, S3, Redshift, and Athena.
Design: Migrate data from multiple sources (Hadoop, S3, Oracle DB) into a final S3 bucket
Explain Snowpipe as a continuous data ingestion service.
Explain steps to optimize data read performance from cloud storage (S3 or Azure Blob).
Explain the components of ADF: Pipelines, Activities, Linked Services, Datasets, Triggers, and Integration Runtimes
Explain the difference between Azure Event Hub and Azure Service Bus.
Explain the process of setting up an ETL pipeline using AWS services.
Explain the purpose and architecture of Azure Synapse Analytics.
Explain your cloud-based data pipeline on AWS
Glue ETL optimization: Performance improvement strategies?
Handling Large-Scale Data Ingestion in AWS Pipelines
How did you contribute to cost optimization initiatives while working with cloud technologies?
How do you handle cost optimization in AWS EMR clusters?
How do you optimize resource allocation in a Dataflow job to reduce costs?
How would you design a data pipeline using AWS Glue, S3, and Redshift?
How would you handle security and privacy concerns when working with sensitive data in a cloud environment?
How would you implement VPC peering between two AWS accounts?
How would you monitor a data pipeline in AWS to ensure SLA compliance?
How would you secure sensitive credentials in Cloud Composer workflows?
How would you use Amazon Glue to merge small files?
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