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01: Databricks interview questions & answers – overview

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 & answers.

Q1. What is Databricks?
A1. Databricks is a cloud based data engineering tool that is built on top of Apache Spark, and used for processing and transforming massive quantities of data and exploring the data through machine learning models.

Databricks is a company formed by the Apache Spark creators. It’s a commercial product, but it has a free community edition with many features. Databricks provides an Apache Spark based unified platform optimised for the cloud providers like AWS, Azure & GCP.

Databricks can be considered both Software-As-A-Service (i.e. a SaaS) providing a fully managed service for its assets

1) Infrastructure management & a user interface for the management.
2) Software installations & upgrade.
3) Security management.

and Platform-As-A-Service (i.e. a PaaS) because you don’t have to manage the VMs that are deployed as they are managed in the background by Databricks, and also you are given more control over to customise the underlying infrastructure.

A Databricks workspace is a software-as-a-service (SaaS) environment for accessing all Databricks assets. The workspace organizes objects (for example, notebooks, libraries, and experiments) into folders and provides access to data and computational resources, such as clusters and jobs.… Read more ...



02: Databricks interview questions & answers – components

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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03: Databricks interview questions & answers – Azure Databricks

Q1. What is ADLS Gen2? A1. Azure Data Lake Storage Gen2 (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything from documents to images to social media streams. Data Lake Storage Gen2 is built on top of Azure Blob…

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04: Databricks interview questions & answers – read & write from Dataframe

Q1. What is a medallion architecture? A1. A medallion architecture is a data design pattern used to organise data in a lakehouse with the view of incrementally and progressively improving the structure and quality of data as it flows through each layer of the architecture from Bronze ⇒ Silver ⇒…

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05: Databricks interview questions & answers – parquet data vs Delta lake

Q1. How will you convert parquet data to data lake in Databricks? A1. A parquet data will have a list of *.snappy.parquet files under each partition like year=2023, month=02, day-25, etc.

Q2. How will you convert data lake to parquet data in Databricks? A2. You need to delete…

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06: Databricks interview questions & answers – SQL connectivity

Q01. How can you connect to Databricks for SQL? A01. SQL connectivity is very useful to access data from Databricks lakehouse from your code, JMeter for performance testing and from the command line (e.g. dbsqlcli) or SQL GUI clients like DBeaver for interactive querying. You can also use SQL Execution…

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07: Databricks interview questions & answers – passing variables and arguments

Q01. How will you pass variables or arguments from one notebook to another in Databricks? A01. There are two ways to accomplish this, Firstly, using %run and secondly, using the dbutils.notebook API. %run When you use %run, the called notebook is immediately executed and the functions and variables defined in…

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08: Databricks interview questions & answers on optimization – Partitioning, Optimize, Z-Order & Cacheing

Data skipping is a performance optimization that aims at speeding up queries that contain filters (i.e. WHERE clauses). Data can be skipped using partitioning and z-ordering techniques. Q01. What is data partitioning in Databricks? A01. Partitioning involves putting different rows into different folders. For example, if you had an “event”…

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09: Databricks interview questions & answers on optimization – Liquid Clustering & Photon accelerator

Here are more performance optimization techniques in Databaricks. Q01. What is Delta Lake liquid clustering? A01. Delta Lake liquid clustering replaces table partitioning and ZORDER to simplify data layout decisions and optimize query performance. Liquid clustering provides flexibility to redefine clustering keys without rewriting existing data, allowing data layout to…

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10: Databricks interview questions & answers – clone data & describe tables

Q01. How can you clone a table on Databricks? A01. You can create a copy of an existing Delta Lake table on Databricks at a specific version using the clone command. Clones can be either deep or shallow. Deep Clone A deep clone copies the source table data (e.g. parquet…

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