TransUnion Interview Questions and Answers

Q1. Basic for Core java
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Q2. Basics of selenium
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Selenium is a powerful tool for automating web applications for testing purposes, supporting multiple browsers and programming languages.
• Selenium supports multiple programming languages like Java, Python, C#, and Ruby.

• It can automate browsers like Chrome, Firefox, and Safari.

• Selenium WebDriver is the core component that interacts with the browser.

• Example: Using WebDriver in Python to open a webpage: 'from selenium impo...read more
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Q1. More on framework side
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Q2. Few question on Manual testing
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Q1. Intro about yourself
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I am a Senior Engineer with 10+ years of experience in software development, specializing in backend systems and cloud technologies.
• 10+ years of experience in software development

• Specialize in backend systems and cloud technologies

• Strong problem-solving skills

• Experience with large-scale systems

• Proficient in programming languages like Java, Python, and SQL
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Q2. Discussion on Job role
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Q1. Questions on Core java, Spring boot and Angular (from resume profile)
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Q2. Discussion on Personal project
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Q1. Detailed Discussion on Current project, entire application workflow and design, implementations and questions like Why, What and How on the tools, technologies, approach and servers used.
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Q1. Question on familiarity with Agile
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Q2. What things a working day constitute of?
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A working day for a software developer typically involves coding, debugging, attending meetings, collaborating with team members, and researching new technologies.
• Coding: Writing and testing code to develop software applications.

• Debugging: Identifying and fixing errors or bugs in the code.

• Meetings: Participating in team meetings to discuss project progress and updates.

• Collaboration: Working with team members to solve p...read more
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Q1. Java Based question answers
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Q2. Array traversal problem
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Traverse an array of strings
• Use a loop to iterate through each element in the array

• Access each element using its index

• Perform any necessary operations on each element
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Q1. What are your salary expectations?
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I am looking for a competitive salary that reflects my skills and experience in data analysis, ideally in the range of $70,000 to $90,000.
• Research industry standards: For example, Glassdoor and Payscale indicate that data analysts in my region earn between $70,000 and $90,000.

• Consider my experience: With over 3 years in data analysis and proficiency in tools like SQL and Python, I believe I bring significant value.

• Fact...read more
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Q2. Why do you want to work at TU?
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I admire TU's commitment to innovation and data-driven decision-making, which aligns perfectly with my passion for analytics.
• TU's focus on cutting-edge technology in data analysis inspires me to contribute to impactful projects.

• The collaborative environment at TU encourages knowledge sharing, which I value for personal and professional growth.

• I am impressed by TU's initiatives in community engagement, and I want to lev...read more
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Q1. Write a few python queries and some live sql coding and pyspark coding
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Q2. Machine learning questions. Way too deep. which is not even required
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Write a C++ program (logical) and OOPS concept, Basic,C concept such as memory and memory management techniques

Q1. OOPS concepts in C++
Ans. 
OOPS concepts in C++ include encapsulation, inheritance, polymorphism, and abstraction.
• Encapsulation: Bundling data and methods that operate on the data into a single unit (class).

• Inheritance: Creating new classes from existing ones, inheriting their attributes and methods.

• Polymorphism: Ability to present the same interface for different data types.

• Abstraction: Hiding the complex implementation details and showing only...read more
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Q2. Difference between C and C++
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C is a procedural programming language while C++ is an object-oriented programming language.
• C is a subset of C++

• C does not support classes and objects, while C++ does

• C++ supports function overloading and operator overloading, which C does not

• C++ has a more complex syntax compared to C
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Q3. Multi threading
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Q4. Difference between binary and linear search
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Binary search divides the array in half to find the target, while linear search checks each element one by one.
• Binary search is more efficient for sorted arrays, while linear search works for unsorted arrays.

• Binary search has a time complexity of O(log n), while linear search has a time complexity of O(n).

• Example: Binary search - finding a word in a dictionary. Linear search - finding a name in a phone book.
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Q5. Time complexity of binary search and linear search. Which is better in which scenario
Ans. 
Binary search has O(log n) time complexity, better for sorted arrays. Linear search has O(n) time complexity, better for small unsorted arrays.
• Binary search has a time complexity of O(log n) as it divides the array in half at each step. It is better for sorted arrays.

• Linear search has a time complexity of O(n) as it checks each element one by one. It is better for small unsorted arrays.

• For example, if you have a large ...read more
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Q6. Mutex when do u use and example
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Mutex is used to prevent multiple threads from accessing shared resources simultaneously.
• Use mutex when multiple threads need to access shared resources to avoid data corruption

• Example: Using mutex to protect a critical section of code where shared data is being modified

• Mutex can be used in multithreading applications to ensure data integrity and prevent race conditions
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Q1. F2F round. What is memory management and how to achieve this
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Q2. They give pen and paper. Write the code for wait in multi threading. Mutex and all...
Ans. 
Implementing wait in multithreading using mutex for synchronization.
• Use a mutex to protect shared resources.

• Implement condition variables for threads to wait and signal.

• Example: pthread_cond_wait() and pthread_cond_signal() in C.

• Ensure proper locking and unlocking of mutexes to avoid deadlocks.

• Use wait() method in Java with synchronized blocks.
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Q3. How to implement string1 is equal to string2 without using inbuilt function. Create your own method/ function
Ans. 
Create a custom method to check if two strings are equal without using inbuilt functions.
• Iterate through each character of both strings and compare them one by one.

• If the lengths of the strings are different, they are not equal.

• Return true only if all characters match, otherwise return false.
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Q4. What is memcpy.
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memcpy is a function in C programming used to copy a block of memory from one location to another.
• memcpy stands for memory copy.

• It is used to copy a specified number of bytes from one memory location to another.

• It is commonly used in C programming to copy arrays or structures.

• Example: memcpy(destination, source, num_bytes);
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Q5. Difference between synchronous and asynchronous in multi threading.
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Synchronous means tasks are executed one after the other, while asynchronous allows tasks to run independently.
• Synchronous execution waits for each task to finish before moving on to the next one.

• Asynchronous execution allows tasks to start and finish independently of each other.

• Synchronous threading can lead to blocking if one task takes a long time to complete.

• Asynchronous threading can improve performance by allowin...read more
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Q6. Write a code to find if the string is present or not. Given character array of strings. {(ABC), (BCA), (DCA)} etc.
Ans. 
Code to find if a string is present in an array of strings.
• Iterate through the array of strings and compare each string with the target string.

• Return true if the target string is found, false otherwise.

• Use a loop and conditional statement to implement the search algorithm.
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Q7. Two cats are rotating in circular motion. What is the probability that they won't collide
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Q1. How to treat multicollinearity, imbalanced dataset
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Multicollinearity can be treated by using techniques like feature selection, PCA, or regularization. Imbalanced datasets can be addressed by resampling techniques like oversampling or undersampling.
• For multicollinearity, consider using techniques like feature selection to remove redundant variables, PCA to reduce dimensionality, or regularization like Lasso or Ridge regression.

• For imbalanced datasets, try resampling te...read more
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Q1. Logistic regression in detail
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Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)

• It estimates the probability that a given observation belongs to a particular category.

• The output of logistic regression is a probability score between 0 and 1.

• It uses the logistic function...read more
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Q2. Project related questions based on Machine learning
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