The best way to prepare for the Databricks interview is via the 28 tutorials on getting started with Databricks & PySpark. These tutorials will not only get you started on Databricks, but also help you prepare for the job interviews.
Here you will look at some high level Databricks interview Questions &
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Q1. What are some of the design considerations for a read heavy system? A1. Before designing any systems, one should gather the functional & non-functional requirements. The SLAs (i.e. Service Level Agreements) have to be clearly defined. A rough-cut capacity planning has to be done in terms of how many...
This extends High level & low level system design considerations for read heavy systems Q1. What are some of the design considerations for a write heavy system? A1. Before designing any systems, one should gather the functional & … Read more ›...
This post shows how to get pyspark installed using the installer for Mac known as the homebrew. Homebrew is a package manager for MacOS (and Linux). It can be used to install, update, and manage various applications and tools on Macs. If you don’t have Homebrew, install it first as a pre-requisite.
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Q1. What is the Lambda Architecture? A1. It is a data-processing architecture designed to handle Big Data by using both real-time streaming (e.g. Spark streaming, Apache Storm) and batch processing (E.g. Hive, Pig, Spark batch). This means you have to build 2 separate pipelines. … Read more ›...
Q1. What are the key differences between SQL & NoSQL databases? A1. Now a days you have a choice which database to use based on your requirements. There are pros & cons for each database. SQL NoSQL (Not Only SQL) SQL databases store structured data & … Read more ›...
Q01. How is Big Data used in industries? A01. The main goal for most organisations is to enhance customer experience, and consequently increase sales. The other goals include cost reduction, better targeted marketing, fraud detection, identifying data breaches to enhance security, making existing processes more efficient, … Read more ›...
Q01. What is Snowflake?
A01. Snowflake is a fully managed SaaS (i.e. Software As A Service) that provides a single platform for data warehousing, data lakes, data engineering, data science, data application development, and secure sharing of data.
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This extends 50+ SQL scenarios based interview questions answered on identifying & deleting duplicate records. You can practice these in SQLs by setting up the data on db-fiddle MySQL V8.0 or a database server & SQL client of your choice. Q01 When you have a table that maintains history of...
Q1. What is IAM? A1. IAM stands for Identity & Access Management. AWS Identity and Access Management (IAM) is a web service that helps you securely control access to AWS resources. You use IAM to control who is authenticated (i.e. … Read more ›...
This extends Azure interview Q&As on Region, VNet, Subnets, AZs, Availability Set, etc. Q12. What is an Azure Virtual Network Peering? A12. Virtual network peering enables you to seamlessly connect two or more VNets in Azure. … Read more ›...
Q1. Why are data cleansing & pre-processing important in analytics & machine learning? A1. Garbage in gets you garbage out. No matter how good your machine learning algorithm is. Q2. What are the general steps of cleansing data A2. … Read more ›...
Q1. What are the key features & components of Databricks? A1. Databricks is comprised of several components & technologies. #1 Apache Spark Databricks is a managed service for Apache Spark, which is a core component of the Databricks ecosystem. This means a solid understanding of Apache Spark is essential to...
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