Senior Data Architect

Senior Data Architect Interview Questions and Answers

Updated 23 Jan 2025

Q1. How to improve the performance of a data pipeline in Azure Data Factory?

Ans.

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

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Q2. What are the steps to improve the performance of a sql query?

Ans.

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

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Q3. How to send emails on completing a job from sql server.

Ans.

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

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Q4. What has been your experience with implementing Snowflake in projects?

Ans.

I have extensive experience implementing Snowflake in various projects.

Led the implementation of Snowflake for a large e-commerce company, improving data processing speed by 50%
Designed and implemented a data warehouse solution using Snowflake for a healthcare organization, enabling real-time analytics
Provided training and support to team members on Snowflake best practices and optimization techniques

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Q5. Do you have idea about Azure SQL db?

Ans.

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

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Q6. What are the tools used for data governance?

Ans.

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

Collibra
Informatica Axon
Alation
IBM InfoSphere
Apache Atlas

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Q7. What is the architecture of Snowflake?

Ans.

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

Q8. Your experience in DBA/Big Data/Hadoop/Hive

Ans.

I have extensive experience in DBA, Big Data, Hadoop, and Hive.

I have worked as a DBA for several years, managing and maintaining databases for various organizations.
I have experience working with Big Data technologies such as Hadoop and Hive, and have implemented solutions using these technologies.
I have designed and implemented data architectures for large-scale data processing and analysis.
I have experience with data modeling, ETL processes, and data warehousing.
I have wor...read more