Senior Data Architect Interview Questions and Answers

To improve the performance of a data pipeline in Azure Data Factory, you can optimize data flow, use parallel processing, and monitor resource utilization.

• Optimize data flow by reducing unnecessary transformations and filtering

• Use parallel processing by partitioning data and running multiple activities concurrently

• Monitor resource utilization to identify bottlenecks and optimize resource allocation

Steps to improve SQL query performance

• Optimize the query by using appropriate indexes

• Minimize the use of functions and calculations in the query

• Avoid unnecessary joins and subqueries

• Retrieve only the required columns instead of selecting all

• Use query hints or optimizer directives if necessary

• Analyze and optimize the database schema and table structures

• Consider partitioning large tables

• Monitor and tune the database server configuration

• Cache frequently accessed data

• Consider den...read more

Optimizing a problematic SQL query involves analyzing execution plans, indexing, and rewriting for efficiency.

• Analyze the execution plan to identify bottlenecks and expensive operations.

• Consider adding indexes on columns used in WHERE clauses or JOIN conditions, e.g., CREATE INDEX idx_column ON table(column).

• Rewrite subqueries as JOINs where applicable to reduce complexity and improve performance.

• Limit the result set using WHERE clauses or pagination techniques to avoid proce...read more

To send emails on completing a job from SQL Server, you can use SQL Server Agent and Database Mail.

• Configure SQL Server Agent to run the job

• Enable Database Mail and configure an SMTP server

• Create a SQL Server Agent job that sends an email on completion

• Use the sp_send_dbmail stored procedure to send the email

• Include the necessary details in the email, such as job status and execution duration

Yes, Azure SQL db is a fully managed relational database service provided by Microsoft Azure.

• Azure SQL db is a cloud-based database service that allows you to build, scale, and manage applications with ease.

• It is based on Microsoft SQL Server engine and offers high availability, security, and performance.

• You can use Azure SQL db to store and retrieve structured, semi-structured, and unstructured data.

• It supports various programming languages and frameworks, including .NET, Ja...read more

Tools for data governance include Collibra, Informatica Axon, Alation, IBM InfoSphere, and Apache Atlas.

• Collibra

• Informatica Axon

• Alation

• IBM InfoSphere

• Apache Atlas

Snowflake is a cloud-based data warehousing platform that uses a unique architecture called multi-cluster, shared data architecture.

• Snowflake uses a central data repository called the Snowflake Data Store, which stores all data in a columnar format.

• It separates storage and compute resources, allowing users to scale each independently.

• Snowflake uses virtual warehouses to process queries, which are clusters of compute resources that can be scaled up or down based on workload.

• It...read more