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IBM
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I was interviewed in Aug 2024.
Python and sql tasks
I applied via Approached by Company and was interviewed in Jun 2024. There were 2 interview rounds.
Python coding question and couple of SQL questions
Spark optimization techniques focus on improving performance and efficiency of Spark jobs.
Partitioning data to optimize parallelism
Caching frequently accessed data
Using broadcast variables for small lookup tables
Avoiding shuffling operations whenever possible
Tuning memory settings for optimal performance
I have faced difficulties in handling large volumes of data, ensuring data quality, and managing dependencies in ETL pipelines.
Handling large volumes of data can lead to performance issues and scalability challenges.
Ensuring data quality involves dealing with data inconsistencies, errors, and missing values.
Managing dependencies between different stages of the ETL process can be complex and prone to failures.
What people are saying about IBM
Bigquery Architecture, Project Discussion
Python and SQL questions
IBM interview questions for designations
I applied via Naukri.com and was interviewed in Oct 2022. There were 2 interview rounds.
Questions on big data, Hadoop, Spark, Scala, Git, project and Agile.
Hadoop architecture and HDFS commands for copying and listing files in HDFS
Spark architecture and Transformation and Action question
What happens when we submit a Spark program
Spark DataFrame coding question
Scala basic program on List
Git and Github
Project-related question
Agile-related
I applied via Naukri.com and was interviewed in May 2022. There was 1 interview round.
I was asked to do some python code provided by the interviewer and some senario-based SQL queries and a lot of job processing theory and optimization techniques used in my project.
Optimization techniques used in project
Caching
Parallel processing
Compression
Indexing
Query optimization
I applied via Referral and was interviewed before Jan 2021. There was 1 interview round.
I applied via Campus Placement and was interviewed before Feb 2021. There were 3 interview rounds.
Aptitude round consists Logical reasoning, General Aptitude, Grammar related questions etc. All are moderate level questions.
OOPs is a programming paradigm that uses objects to represent real-world entities. Java is an OOPs language.
OOPs stands for Object-Oriented Programming System
Java is a class-based OOPs language
Encapsulation, Inheritance, Polymorphism, and Abstraction are the four pillars of OOPs
Objects have state and behavior
Java supports interfaces, which allow for multiple inheritance
Example: A car can be represented as an object wit...
Java solves machine dependency by using bytecode and virtual machine.
Java code is compiled into bytecode which is platform-independent
The bytecode is executed by the Java Virtual Machine (JVM) which is platform-specific
JVM translates bytecode into machine code for the specific platform
This allows Java code to run on any platform with a JVM installed
Example: A Java program compiled on Windows can run on Linux or Mac as
I applied via Campus Placement and was interviewed before May 2021. There were 2 interview rounds.
Numerical ability and logical reasoning followed by some coding mcqs
Printing 1 to 100 without for loop
Use recursion to print numbers from 1 to 99
Print 100 outside the recursion
Use a base case to stop recursion at 100
based on 7 interviews
2 Interview rounds
based on 51 reviews
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