Real questions from top companies in SQL
Describe a situation where you prioritized business needs over technical elegance. How did you manage trade-offs?
Describe how Dataproc integrates with BigQuery for processing large datasets.
Describe how metadata is stored and accessed for internal tables in a relational database.
Describe how partitioning helps improve query performance in a large dataset.
Describe how you would implement Slowly Changing Dimensions (SCD) in an ETL workflow.
Describe strategies for optimizing a slow-running query on a massive dataset.
Describe the process for migrating data from an on-premises SQL database to AWS. What services and strategies would you use?
Design a Custom API that can query a backend server and return customer data such as the number of orders placed by a user based on their user ID
Design a daily ETL pipeline to ingest API data into BigQuery.
Design a financial database system focusing on database models, schema design, partition keys, and query optimization techniques.
Design a relational data model for a sales database, incorporating normalization techniques
Design a structure (data model) that allows efficient querying of movies based on multiple search criteria (title, genre, actor, director).
Design the data model for an ETL pipeline that ingests data from a database and loads it into Snowflake
Designing backend architecture for SQL Warehouse?
Designing scalable data models - explain approach
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Difference Between Truncate/Delete and Union/Union All – Performance and Usage
Discuss a project where you balanced business goals with technical constraints.
Discuss a project where you significantly impacted performance or cost optimization.
Discuss a project where you significantly improved the performance of a data pipeline.
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