Apache Spark 1st Technical Round Live Interview for Experienced Candidates | Azure | SQL #interview

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ะŸะพะบะฐะทะฐั‚ัŒ ะพะฟะธัะฐะฝะธะต

I have trained over 20,000+ professionals in the field of Data Engineering in the last 5 years.

๐–๐š๐ง๐ญ ๐ญ๐จ ๐Œ๐š๐ฌ๐ญ๐ž๐ซ ๐’๐๐‹? ๐‹๐ž๐š๐ซ๐ง ๐’๐๐‹ ๐ญ๐ก๐ž ๐ซ๐ข๐ ๐ก๐ญ ๐ฐ๐š๐ฒ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐ญ๐ก๐ž ๐ฆ๐จ๐ฌ๐ญ ๐ฌ๐จ๐ฎ๐ ๐ก๐ญ ๐š๐Ÿ๐ญ๐ž๐ซ ๐œ๐จ๐ฎ๐ซ๐ฌ๐ž - ๐’๐๐‹ ๐‚๐ก๐š๐ฆ๐ฉ๐ข๐จ๐ง๐ฌ ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ!

"๐€ 8 ๐ฐ๐ž๐ž๐ค ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ ๐๐ž๐ฌ๐ข๐ ๐ง๐ž๐ ๐ญ๐จ ๐ก๐ž๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐œ๐ซ๐š๐œ๐ค ๐ญ๐ก๐ž ๐ข๐ง๐ญ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ๐ฌ ๐จ๐Ÿ ๐ญ๐จ๐ฉ ๐ฉ๐ซ๐จ๐๐ฎ๐œ๐ญ ๐›๐š๐ฌ๐ž๐ ๐œ๐จ๐ฆ๐ฉ๐š๐ง๐ข๐ž๐ฌ ๐›๐ฒ ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ข๐ง๐  ๐š ๐ญ๐ก๐จ๐ฎ๐ ๐ก๐ญ ๐ฉ๐ซ๐จ๐œ๐ž๐ฌ๐ฌ ๐š๐ง๐ ๐š๐ง ๐š๐ฉ๐ฉ๐ซ๐จ๐š๐œ๐ก ๐ญ๐จ ๐ฌ๐จ๐ฅ๐ฏ๐ž ๐š๐ง ๐ฎ๐ง๐ฌ๐ž๐ž๐ง ๐๐ซ๐จ๐›๐ฅ๐ž๐ฆ."

๐‡๐ž๐ซ๐ž ๐ข๐ฌ ๐ก๐จ๐ฐ ๐ฒ๐จ๐ฎ ๐œ๐š๐ง ๐ซ๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐Ÿ๐จ๐ซ ๐ญ๐ก๐ž ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ -

30 INTERVIEWS IN 30 DAYS- BIG DATA INTERVIEW SERIES

This mock interview series is launched as a community initiative under Data Engineers Club aimed at aiding the community's growth and development

Link of Free SQL & Python series developed by me are given below -

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TIMESTAMPS : Questions Discussed
00:58 Introduction and project explanation
2:51 Reason for migrating from GCP to AWS?
3:57 Use cases solved in migration projects, challenges faced, and volume of data?
9:44 Explanation of cost savings and performance improvements mentioned in the resume?
10:40 Explain the reason for the out of memory issue that you faced.
12:00 How can you optimize data access performance for teams using ingested data during the day, given nightly ingestion in RDBMS?
20:56 How is the history stored in delta tables?
22:50 Features offered by delta tables?
23:35 Explain meaning and types of ACID properties.
25:35 Explanation of normalization and denormalization, types of normalization?
28:05 Preferred table type for aggregated reporting: wide or long?
29:21 Sql coding questions
37:10 Python coding questions

Music track: Retro by Chill Pulse
Background Music for Video (Free)

Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs
ะ ะตะบะพะผะตะฝะดะฐั†ะธะธ ะฟะพ ั‚ะตะผะต
ะšะพะผะผะตะฝั‚ะฐั€ะธะธ
ะะฒั‚ะพั€

Do you have providing live training or only record video training

shahnawazatharkazmi
ะะฒั‚ะพั€

How to calculate stages and task for 2 wide transformation and 1 action for 2gb of data
I got that no of jobs =no of actions plz help me

divyaborse
ะะฒั‚ะพั€

Is it (64 core 16gb) or (16core 64gb)?
Thank you for the series.

srinivasgrathod
ะะฒั‚ะพั€

Dubey needs to change his body language while giving interview

nandukumar