Kyndryl Interview Questions, Process, and Tips

Q1. What is Java and static method and why use java
Ans. 
Java is a programming language used for developing applications. Static methods in Java are methods that belong to the class rather than an instance of the class.
• Java is a popular programming language used for developing various types of applications.

• Static methods in Java are methods that can be called without creating an instance of the class.

• Static methods are commonly used for utility functions or methods that do n
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Q2. Write a program to print prime number
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Program to print prime numbers
• Iterate through numbers and check if each number is prime

• Use a nested loop to check divisibility by numbers less than the current number

• Print the number if it is prime
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Q1. What is abstraction and how can we achieve it?
Ans. 
Abstraction is the concept of hiding complex implementation details and showing only the necessary features to the outside world.
• Abstraction allows us to focus on what an object does rather than how it does it

• Achieved through abstract classes and interfaces in object-oriented programming

• Example: A car dashboard abstracts the internal workings of the car and provides only essential information to the driver
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Q2. Difference between hashtable and hashmap
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Hashtable is synchronized, while hashmap is not. Hashtable does not allow null keys or values, while hashmap does.
• Hashtable is synchronized, while hashmap is not

• Hashtable does not allow null keys or values, while hashmap does

• Hashtable is a legacy class, while hashmap is a newer class
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Q3. How get() works insterally in hashmap
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The get() method in HashMap retrieves the value associated with a specified key.
• get() method takes a key as input and returns the value associated with that key in the HashMap.

• Internally, get() uses the hash code of the key to find the corresponding bucket in the HashMap.

• If multiple keys have the same hash code, get() uses the equals() method to find the correct key-value pair.
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Q4. What is normalization?
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Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
• Normalization helps in minimizing data redundancy by dividing the database into multiple tables and defining relationships between them.

• It ensures data integrity by avoiding update anomalies and inconsistencies.

• There are different normal forms such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with specific rules to fo...read more
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Q5. What are constraints?
Ans. 
Constraints are limitations or restrictions placed on a system or process.
• Constraints define the boundaries within which a system must operate.

• They can include limitations on resources, time, or functionality.

• Examples of constraints in software engineering include memory limitations, processing speed, and input/output requirements.
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Q6. Write a query to get 3rd highest salary from the employee table
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Query to retrieve the 3rd highest salary from the employee table
• Use the ORDER BY clause to sort salaries in descending order

• Use the LIMIT clause to retrieve the 3rd highest salary
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Q7. Write a code to get 2nd last node and its value from the singly linked list.
Ans. 
Traverse the linked list to find the 2nd last node and return its value.
• Traverse the linked list while keeping track of the current and previous nodes.

• Once at the end of the list, return the value of the previous node.
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Q8. You have an array of integer and retrieve the 2 smallest number from it without sorting the array.
Ans. 
Use two variables to keep track of the smallest and second smallest numbers in the array.
• Iterate through the array and update the variables accordingly.

• Initialize the variables with the maximum possible integer value to start with.

• Example: array = [5, 2, 8, 1, 3], smallest = 1, secondSmallest = 2.
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Q1. Extract only India Players from dictionary (using list comprehension) CSK = {"Dhoni" : "India", "Du Plessis" : "South Africa", "RituRaj": "India", "Peterson" : "England", "Lara" : "West Indies"}
Ans. 
Extract India players from a dictionary using list comprehension
• Use list comprehension to filter out players with nationality as 'India'

• Create a new list with only the India players

• Example: [player for player, nationality in CSK.items() if nationality == 'India']
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Q2. Find Common Elements in three lists using sets arr1 = [1,5,10,20,40,80,100] arr2 = [6,7,20,80,100] arr3 = [3,4,15,20,30,70,80,120]
Ans. 
Use sets to find common elements in three lists.
• Convert the lists to sets for efficient comparison.

• Use the intersection method to find common elements.

• Return the common elements as a set or list.
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Q3. Check if you found any error in the below code: school_name = 'ABC School' def __init__(self, name, roll_no): self.name = name self.roll_no = roll_no def show(self)" print('Ins...read more
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Q4. How do you print the 3, 5 and 7th row in a database (Python - use Pandas)
Ans. 
Printing specific rows from a database using Pandas in Python
• Use Pandas library to read the database into a DataFrame

• Use iloc method to select specific rows by index

• Print the selected rows
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Q5. Split Dataset in train, test and validation (import library and split dataset)
Ans. 
Use scikit-learn library to split dataset into train, test, and validation sets
• Import train_test_split from sklearn.model_selection

• Specify test_size and validation_size when splitting the dataset

• Example: X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
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Q6. Print Unique values in the dataset and delete the duplicate rows (SQL)
Ans. 
Use DISTINCT keyword to print unique values and DELETE with a subquery to remove duplicate rows.
• Use SELECT DISTINCT column_name FROM table_name to print unique values.

• Use DELETE FROM table_name WHERE row_id NOT IN (SELECT MAX(row_id) FROM table_name GROUP BY column_name) to delete duplicate rows.
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Q7. Print rows where a certain criterion is met (ex - in a dataset of employees select the ones whose salary is greater than 100000 - in SQL)
Ans. 
Use SQL SELECT statement with WHERE clause to filter rows based on a specific criterion.
• Use SELECT statement with WHERE clause to specify the criterion (ex: salary > 100000)

• Example: SELECT * FROM employees WHERE salary > 100000;

• Ensure proper syntax and column names are used in the query
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Q8. Print rows with the second highest criterion value without using offset function in SQL
Ans. 
Use subquery to find rows with second highest criterion value in SQL without using offset function.
• Use a subquery to find the maximum criterion value

• Then use another subquery to find the maximum value that is less than the maximum value found in the first subquery

• Finally, select rows with the second highest criterion value
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Q9. Print rows with the same set of values in column (these are not duplicates row - just the duplicates values in a column)
Ans. 
Print rows with the same set of values in a column
• Identify unique sets of values in the column

• Group rows based on these unique sets of values

• Print out the rows for each unique set of values
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Q10. Difference between Power BI and Tableau
Ans. 
Power BI is a Microsoft product focused on business intelligence and data visualization, while Tableau is a standalone data visualization tool.
• Power BI is more user-friendly and integrates well with other Microsoft products.

• Tableau is known for its powerful data visualization capabilities and flexibility in creating complex visualizations.

• Power BI is often preferred by organizations already using Microsoft products, wh...read more
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Q11. Limitations of Power BI and Tableau
Ans. 
Power BI and Tableau have limitations in terms of data connectivity, customization, and pricing.
• Limited data connectivity options compared to other tools

• Limited customization capabilities for advanced analytics

• High pricing for enterprise-level features

• Tableau has better visualization capabilities but can be more complex to use

• Power BI is more user-friendly but may lack certain advanced features
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Q12. What are the types of regression models, name them and explain them
Ans. 
Types of regression models include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regression.
• Linear regression: used to model the relationship between a dependent variable and one or more independent variables.

• Logistic regression: used for binary classification problems, where the output is a probability value between 0 and 1.

• Polynomial regression: fits a curve to the data by...read more
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Q13. Difference in Linear and Logistic Regression
Ans. 
Linear regression is used for continuous variables, while logistic regression is used for binary outcomes.
• Linear regression predicts continuous outcomes, while logistic regression predicts binary outcomes.

• Linear regression uses a linear equation to model the relationship between the independent and dependent variables.

• Logistic regression uses the logistic function to model the probability of a binary outcome.

• Linear reg...read more
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Q14. Difference in Random Forest and Decision Tree
Ans. 
Random Forest is an ensemble method using multiple decision trees, while Decision Tree is a single tree-based model.
• Random Forest is a collection of decision trees that are trained on random subsets of the data.

• Decision Tree is a single tree structure that makes decisions by splitting the data based on features.

• Random Forest reduces overfitting by averaging the predictions of multiple trees.

• Decision Tree can be prone t...read more
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Q15. What is ETL and what are the types or examples of ETL tools
Ans. 
ETL stands for Extract, Transform, Load. It is a process of extracting data from various sources, transforming it into a usable format, and loading it into a target database.
• ETL tools include Informatica PowerCenter, Talend, Apache Nifi, Microsoft SQL Server Integration Services (SSIS), and IBM InfoSphere DataStage.

• Extract: Data is extracted from various sources such as databases, files, APIs, etc.

• Transform: Data is cl...read more
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Q1. What is the monitoring tool used
Ans. 
The monitoring tool used is Datadog.
• Datadog is a popular monitoring tool used for infrastructure and application monitoring.

• It provides real-time insights into the performance of servers, databases, applications, and more.

• Datadog offers features like customizable dashboards, alerts, and integrations with various services.

• Example: Datadog can be used to monitor server CPU usage, application response times, and database
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Q1. Where do u see 10 years from now
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Q1. They creat their own to reject
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Q1. They prove you that you are good for nothing
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Just normal aptitude

Q1. Terraform related all the question multicloud env
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Q2. Terraform code for ec2
Ans. 
Terraform code for creating an EC2 instance
• Use the 'aws_instance' resource in Terraform

• Specify the AMI, instance type, key pair, and security group in the resource block

• Define any additional configurations like tags or user data

• Run 'terraform init', 'terraform plan', and 'terraform apply' to create the EC2 instance
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8 members took final round