Mock Interview for Data Engineers | Spark Optimizations | Real-time Project Challenges and Scenarios

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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
A highly experienced guest interviewer, Himanshu Mishra, / himanshu-mishra-4796014b conducting a well engaging interview covering all the important topics that a Data Engineer should be aware of.
Our talented guest interviewee, Hamida Bano, / hamida-bano-793804208 answering the interview questions in a very simplistic way with good examples.
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Discussed Questions : Timestamp
1: 40 Introduction
2:21 Challenges you faced in your project
4:40 What’s the contribution towards your project ?
6:20 File formats you have worked on in your project ?
7:53 What is wide and narrow transformations ?
9:38 Lazy evaluation in spark ?
11:25 What is fault tolerance in spark and mapreduce and how does it work ?
13:32 Client mode and Cluster mode in spark ?
14:15 Broadcast joins we have in spark ?
15:18 Memory management in spark ?
18:12 In live production, if you are facing an out of memory error. So what’s the approach you follow to debug that?
19:51 What is Data skewness ?
20:16 What is Caching ?
21:38 How do you test your spark code ?
22:17 What are the performance tuning techniques that you use to tune your spark job ?
23:18 What is coalesce and when should we use it ?
24:54 Managed and external tables with a use case
26:28 How do you deploy your spark code ?
27:29 How did you schedule your workflow ?
28:14 What are the version control tools you have used ?
28:49 What is shuffling and why do we need to think of minimising it ?
29:50 One of the Spark jobs you've developed is experiencing slow performance. How would you go about resolving this issue?
31:00 What are the transformations and actions you have performed in the current project ?
32:03 How does spark work ? Explain Spark Architecture ?
33:05 What is lineage in spark ?
33:50 Different types of joins in spark ? Use case on any one of those joins ?
35:25 What is a spark session and how do we initialise it ?
36:33 How to read a parquet file into a dataframe ?
37:37 How can you perform filters on a dataframe?
39:20 How to remove duplicates in a dataframe ?
39:56 Consider a scenario where in dataframe we want to update a column name, So how will you do this ?
40:40 Usage of withColumn ?
41:27 How to remove any column from a dataframe ?
41:50 Have you handled any null values in your dataframe ?
42:37 SQL Coding Question
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs

[@chetankakkireni8870]

she spoke about user memory, executor memory, cache memory which uses off heap memory which does not use garbage collector, which I felt very useful.

[@PraveenSingh-no8ol]

Sumit Sir kindly make a video on a person who has transition from non-It to Data Engineering profile it will be really helpful

[@akshaythengane4302]

This series is too good! Keep em coming!

[@poojabarawkar1808]

Thanks

[@prannay19]

Thanks again. I am following these closely and feel that these would be immensely helpful in cracking the interviews. Appreciate it. 👍

[@sumitmittal07]

definitely

[@_-_Abhinav_-_33]

This interview is really very helpful. Thank you so much Sir for this entire series.

[@sumitmittal07]

Pleasure to share more such content for all my supportive followers!

[@swapnildande4706]

Really thanks sir for mock interview playlist 🙏🏻

[@sumitmittal07]

Most welcome

[@zaffer2024]

🙏

[@sadiqueahmad6781]

Insightful interview 👍

[@sumitmittal07]

thank you

[@karthikeyanudayakumar9553]

Excellent mock interview 👍

[@sumitmittal07]

Glad you enjoyed it!

[@user-rx3vl2en5i]

Hi sir good morning it was helpful to us please do make some AWS data engineering interview also instead of azure..

[@sumitmittal07]

Noted

[@user-rx3vl2en5i]

Yeah please we facing the end to end data pipeline AWS side explanation where use etl used nd which transfer that used and so on.

[@pritamkabiraj7691]

Hi Sumit Sir
I also want to appear for Mock Interview. Is there any process involved or Can you help me with the process to appear?

[@umeshpagoti1017]

Sir continue the python videos

[@sumitmittal07]

yes

[@shiprasarwada]

Sir keep mock interviews for gcp data engineer

[@sumitmittal07]

sure

[@karthikeyanr1171]

too many questions

[@telugoons2292]

Thanks