Part 3: Cracking Databricks Interview: Top Questions Answered with Detailed Explanations!

Welcome to our Databricks Interview Questions and Answers session! 🚀 In this video, we dive deep into the world of Databricks and cover a range of commonly asked interview questions related to this powerful data engineering and big data analysis platform.
Databricks File Interview Questions
Please Find the link below
docs.google.co...
Whether you're preparing for a technical interview, looking to enhance your Databricks skills, or simply curious about this cutting-edge technology, you've come to the right place. Our expert team has meticulously crafted this Q&A session to provide you with comprehensive answers and detailed explanations, making sure you grasp the concepts thoroughly.
Here's what you can expect in this video:
🔹 In-depth explanations of Databricks concepts and features
🔹 Tips and tricks to tackle tricky interview questions
🔹 Insights into real-world use cases and scenarios
Stay tuned and get ready to level up your Databricks knowledge! Don't forget to like, subscribe, and hit the notification bell to stay updated with more valuable content on data engineering, data science, and tech interview tips.
Connect with us on social media and let us know your thoughts and suggestions. We love to hear from our community of tech enthusiasts! Happy learning! 💡
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Link for Databricks Playlist:
• Databricks
Link for Azure Data Factory (ADF) Playlist:
• Azure Data Factory
Link for Snowflake Playlist:
• Snowflake
Link for SQL Playlist:
• MySQL
Link for Power BI Playlist:
• Power BI Full Course |...
Link for Python Playlist:
• Python
Link for Azure Cloud Playlist:
• Azure Cloud
Link for Big Data: PySpark:
• Big Data with PySpark
0:36 Workflow - JOBs, Delta Live Table (DLT)
8:23 Metastore-Catalog-database-objects
9:11 unity catalog
11:40 Streaming
12:30 Data Ingestion (Autoloader+ Copy INTO)
14:19 Databricks SQL (Serverless)
18:14 Dashboard

[@karthikchinnaj4598]

Thanks for the great video.. clearly explained … very helpful… if possible can you do some unit testing videos in notebook

[@thedatamaster]

Thank you for the feedback! I'm glad you found the video helpful. I appreciate your suggestion and will consider creating some unit testing videos in notebooks. Stay tuned!

[@SqlMastery-fq8rq]

Very Well Explained Sir, Thank you for an amazing video.

[@thedatamaster]

Thank you! I'm glad you found the explanation clear.

[@UsamaBinMasood]

Excellent videos, I dont know why this channel is so under-rated. 5 stars from me. Keep it up man!

[@thedatamaster]

Thank you so much! Your support means a lot!

[@ervhart2776]

Thank you and God bless you sir.

[@ShekharBhide]

Really Helpful 🔥

[@thedatamaster]

Glad to hear that!

[@ShivaKumar-dj8bj]

Your explanation is very easy to understand. Thanks for making such videos. Very informative.

[@thedatamaster]

Thanks so much for letting me know! I'm happy it helped you understand the concepts

[@ksktest187]

Hi great help.would be better if you have discussed couple of questions on this part or may be in next part. Thanks for your efforts. I love it

[@chethan4160]

Autoloader like snow pipe in snowflke

[@thedatamaster]

Yes, the Autoloader in Databricks is similar to Snowpipe in Snowflake. Both are designed for continuous data ingestion, automatically detecting and processing new files as they arrive in storage.

[@ahsankhan6290]

Really helped me.

[@thedatamaster]

Great to hear it helped. Happy learning!

[@MuzicForSoul]

can you please create some videos on unit testing your notebooks in databricks, that gets asked in interview every time.

[@mallikarjun_reddy]

Great work

[@godisbodie1338]

Thanks you very much

[@thedatamaster]

You're very welcome! If you have any more questions or if there's anything else I can help you with, feel free to ask. Your support is greatly appreciated, and I'm here to assist you anytime. Thanks for watching and engaging with the content! 😊👍📺

[@skumar3756]

Thanks☺

[@thedatamaster]

Thank you for your kind words, I appreciate your feedback.