Senior Data Architect
Senior Data Architect Interview Questions and Answers
Q1. How to improve the performance of a data pipeline in Azure Data Factory?
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
Q2. What are the steps to improve the performance of a sql query?
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
Q3. How to send emails on completing a job from sql server.
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
Q4. Do you have idea about Azure SQL db?
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
Q5. Your experience in DBA/Big Data/Hadoop/Hive
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
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