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IBM
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I appeared for an interview 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 Walk-in and was interviewed before Sep 2020. There were 4 interview rounds.
I applied via Company Website and was interviewed before Feb 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed before Sep 2019. There were 5 interview rounds.
OOPs concepts in Java are the fundamental principles of object-oriented programming.
Encapsulation: wrapping data and code into a single unit
Inheritance: creating new classes from existing ones
Polymorphism: using a single interface to represent multiple types
Abstraction: hiding implementation details from the user
Examples: class, object, inheritance, polymorphism, encapsulation
Stack is a LIFO data structure while Queue is a FIFO data structure.
Stack follows Last In First Out (LIFO) principle while Queue follows First In First Out (FIFO) principle.
Stack has two main operations: push and pop while Queue has two main operations: enqueue and dequeue.
Stack is used in recursive function calls, undo/redo operations, and backtracking while Queue is used in breadth-first search, printing tasks in ord...
SQL query to find second highest salary in database
Use ORDER BY and LIMIT to get the second highest salary
Assume ties are allowed and use DISTINCT
Method overloading is having multiple methods with the same name but different parameters. Method overriding is having a method in a subclass with the same name and parameters as a method in its superclass.
Method overloading is done within the same class while method overriding is done in different classes (subclass and superclass).
Method overloading is achieved by changing the number of parameters or the data type of ...
The parent class of all classes in Java is the Object class.
All classes in Java implicitly extend the Object class.
The Object class provides basic methods such as toString(), equals(), and hashCode().
Any class can override these methods to provide custom implementations.
Example: public class MyClass extends Object { ... }
Example: Object obj = new MyClass();
SQL databases are relational and use structured query language, while NoSQL databases are non-relational and use various data models.
SQL databases are based on a fixed schema, while NoSQL databases are schema-less.
SQL databases use tables to store data, while NoSQL databases use various data models like key-value, document, columnar, or graph.
SQL databases are better suited for complex queries and structured data, whil...
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2 Interview rounds
based on 54 reviews
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