Hard-level cloud & tools questions from real data engineering interviews.
These hard cloud & tools questions are selected from real interviews at top companies. Each question includes a detailed expert answer and pro tip to help you nail your interview.
What are the key components of AWS Glue, and how do they work together?
What is Snowflake's architecture, and why is it unique?
What is the difference between S3 and HDFS?
ADF Optimization Techniques?
Azure Fabric in Cloud Architecture?
Business generates TBs of data daily. How would you design the data pipeline in Azure?
Core services of AWS used in data engineering?
Data Lakehouse architecture in Azure?
Describe AWS Glue components and their functions.
Could you describe a specific cost optimization strategy you implemented in the cloud and its results?
Describe how Adidas could use S3 and Athena to analyze clickstream data.
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?
In AWS Data Pipeline, how would you design a process to copy only recently modified files from one S3 bucket to another?
Moving pipelines from development to production: ARM templates for deployment.
On-Premises to Cloud Integration Runtime
Parallel Copies in ADF?
Provide Data Pipeline for GCP Data Engineering
Synapse Analytics Features and Use Cases?
Unity Catalog - role in managing and securing data
Using Service Accounts in GCP
What GCP tools do you use?
What are the performance considerations when integrating Logic Apps with ADF?
What are the pricing models for queries in Athena?
What are the pros and cons of using a data lake on AWS, GCP, or Azure?
What is Azure Data Lake Storage (ADLS) Gen2, and how does it differ from Blob Storage?
What is your experience with cloud technologies?
What techniques do you use to balance compute costs and performance in cloud-based data solutions?
What types of queries would not be efficient in Athena?
Which AWS services do you use for data ingestion and processing?
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