Cloud Data Engineer Mock Interview | PySpark Coding Interview Questions |Azure Databricks

  ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 16,429

Sumit Mittal

Sumit Mittal

4 ะฐะน ะฑาฑั€ั‹ะฝ

๐“๐จ ๐ž๐ง๐ก๐š๐ง๐œ๐ž ๐ฒ๐จ๐ฎ๐ซ ๐œ๐š๐ซ๐ž๐ž๐ซ ๐š๐ฌ ๐š ๐‚๐ฅ๐จ๐ฎ๐ ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ, ๐‚๐ก๐ž๐œ๐ค trendytech.in/?src=youtube&su... for curated courses developed by me.
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 -
๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ซ๐š๐ญ๐ข๐จ๐ง ๐‹๐ข๐ง๐ค (๐‚๐จ๐ฎ๐ซ๐ฌ๐ž ๐€๐œ๐œ๐ž๐ฌ๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐ˆ๐ง๐๐ข๐š) : rzp.io/l/SQLINR
๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ซ๐š๐ญ๐ข๐จ๐ง ๐‹๐ข๐ง๐ค (๐‚๐จ๐ฎ๐ซ๐ฌ๐ž ๐€๐œ๐œ๐ž๐ฌ๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐จ๐ฎ๐ญ๐ฌ๐ข๐๐ž ๐ˆ๐ง๐๐ข๐š) : rzp.io/l/SQLUSD
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
Ganesh Kudala, / ganesh-kudale-50bb14ab our seasoned guest interviewer, offers invaluable insights and practical advice drawn from his extensive experience in the Big Data domain.
Our proficient guest interviewee, SreeLakshmi Gosala, / sreelakshmi-gosala demonstrates an exceptional approach to tackling coding round interview questions in PySpark.
Link of Free SQL & Python series developed by me are given below -
SQL Playlist - โ€ข SQL tutorial for every...
Python Playlist - โ€ข Complete Python By Sum...
Don't miss out - Subscribe to the channel for more such informative interviews and unlock the secrets to success in this thriving field!
Social Media Links :
LinkedIn - / bigdatabysumit
Twitter - / bigdatasumit
Instagram - / bigdatabysumit
Student Testimonials - trendytech.in/#testimonials
Timestamp : Questions Discussed
1:10 Introduction
2:38 Differences between Spark Core APIs and Higher-Level APIs?
5:00 RDD vs DataFrames vs Spark SQL: Which is the recommended approach in Spark?
6:22 What is a DAG? When is a DAG executed?
8:44 Explain Spark's job, stages, and tasks.
10:00 How does Spark execute a job from action invocation?
11:32 How to determine the number of partitions in a dataframe?
13:00 Pyspark Coding Question
18:03 Which is more efficient: inferring a schema or enforcing it?
20:06 Ways to enforce a schema?
24:05 DataFrame Read Modes?
26:00 DataFrame write modes?
28:04 What is Databricks, and what advantages does it offer over plain vanilla versions?
29:50 Explain medallion architecture in detail ?
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs

ะŸั–ะบั–ั€ะปะตั€: 16
@mareswararaomalle9958
@mareswararaomalle9958 8 ะบาฏะฝ ะฑาฑั€ั‹ะฝ
Interviewer involvement is very high that is cooperative to the interviewee
@gouthambheema1779
@gouthambheema1779 4 ะฐะน ะฑาฑั€ั‹ะฝ
Good jobโ€ฆ Appreciative
@HarshitSingh-lq9yp
@HarshitSingh-lq9yp 3 ะฐะน ะฑาฑั€ั‹ะฝ
Good job team. Keep up this series.
@DataJourneyHuub
@DataJourneyHuub 4 ะฐะน ะฑาฑั€ั‹ะฝ
Thank you sir
@PurbaragPChoudhury
@PurbaragPChoudhury 4 ะฐะน ะฑาฑั€ั‹ะฝ
Love this video.
@akshaykudale4762
@akshaykudale4762 4 ะฐะน ะฑาฑั€ั‹ะฝ
Good Job... Thank you for informative session
@sumitmittal07
@sumitmittal07 3 ะฐะน ะฑาฑั€ั‹ะฝ
Keep watching for more such informational content
@gudiatoka
@gudiatoka 4 ะฐะน ะฑาฑั€ั‹ะฝ
Keep inspiring โค
@meghaonnath7
@meghaonnath7 3 ะฐะน ะฑาฑั€ั‹ะฝ
best Interviewer and wish I will have same experience in next interview
@jatinzorro7038
@jatinzorro7038 3 ะฐะน ะฑาฑั€ั‹ะฝ
That was Good :)
@ravulapallivenkatagurnadha9605
@ravulapallivenkatagurnadha9605 ะะน ะฑาฑั€ั‹ะฝ
Nice videos
@jaisriram8989
@jaisriram8989 4 ะฐะน ะฑาฑั€ั‹ะฝ
Thank you for this informative content!
@sumitmittal07
@sumitmittal07 3 ะฐะน ะฑาฑั€ั‹ะฝ
Happy to know you are finding it insightful
@RohitSharma-ny1oq
@RohitSharma-ny1oq 4 ะฐะน ะฑาฑั€ั‹ะฝ
best interviewer ๐Ÿ˜…
@ganeshkudale2253
@ganeshkudale2253 4 ะฐะน ะฑาฑั€ั‹ะฝ
Thanks
@RohitSharma-ny1oq
@RohitSharma-ny1oq 4 ะฐะน ะฑาฑั€ั‹ะฝ
@@ganeshkudale2253 are Sir thanks to u , we connect on Linkedin plz accept
Data Engineer Mock Interview | ADF | Medallion Architecture | BRONZE, SILVER & GOLD Layer| ADLS GEN2
41:04
Sumit Mittal
ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 10 ะœ.
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ะ‘ะะ‘ะฃะจะšะ˜ะ ะšะžะœะŸะžะข ะ’ ะกะžะ›ะž
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โšก๏ธะšะะ ะะะ”ะ ะ•ะ™โšก๏ธ
ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 15 ะœะ›ะ
Beautiful gymnastics ๐Ÿ˜โ˜บ๏ธ
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ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 15 ะœะ›ะ
DAD LEFT HIS OLD SOCKS ON THE COUCHโ€ฆ๐Ÿ˜ฑ๐Ÿ˜‚
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JULI_PROETO
ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 15 ะœะ›ะ
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ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 19 ะœะ›ะ
10 PySpark Product Based Interview Questions
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Azure Data Engineer Mock Interview | PySpark | Delta Live Tables| Managerial #interview #question
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ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 5 ะœ.
Validate data between source and target table | Data Engineering Interview | BIG 4 | PWC
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ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 2 ะœ.
Part 1: Cracking Databricks Interview: Top Questions Answered with Detailed Explanations!
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ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 22 ะœ.
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KSR Datavizon
ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 112 ะœ.
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ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 13 ะœ.
Processing 25GB of data in Spark | How many Executors and how much Memory per Executor is required.
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Clever Studies
ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 14 ะœ.
ะ‘ะะ‘ะฃะจะšะ˜ะ ะšะžะœะŸะžะข ะ’ ะกะžะ›ะž
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โšก๏ธะšะะ ะะะ”ะ ะ•ะ™โšก๏ธ
ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 15 ะœะ›ะ