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I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
I was interviewed in Jul 2024.
Coding test consist of some basic gate questions and then 2 leetcode easy question
I applied via Campus Placement
1 coding question and MCQ on CS fundamentals were asked.
Data structure related question
To find the second highest integer in an array, sort the array in descending order and return the second element.
Sort the array in descending order
Return the second element in the sorted array
Handle edge cases like duplicates or small arrays
Amdocs interview questions for popular designations
I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.
Agenda could be anything but prepration should be in essential pointers
I have been employed with the organization for 5 years.
Employed for 5 years
Started in entry-level position and progressed to current role
Received promotions and increased responsibilities over time
Get interview-ready with Top Amdocs Interview Questions
I applied via Campus Placement
Big data refers to large and complex data sets that are difficult to process using traditional data processing applications.
Big data involves large volumes of data
It includes data from various sources such as social media, sensors, and business transactions
Big data requires specialized tools and technologies for processing and analysis
Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.
Spark is a distributed computing framework that can process data in memory for faster processing.
It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.
Spark provides high-level APIs in Java, Scala, Python, and R for ease of use.
It supports various data sources li...
Our application is a data engineering platform that processes and analyzes large volumes of data to provide valuable insights.
Our application uses various data processing techniques such as ETL (Extract, Transform, Load) to clean and transform raw data into usable formats.
We utilize big data technologies like Hadoop, Spark, and Kafka to handle large datasets efficiently.
The application also includes machine learning al...
Key concepts of OOP include encapsulation, inheritance, polymorphism, and abstraction.
Encapsulation: Bundling data and methods that operate on the data into a single unit (object).
Inheritance: Allowing a class to inherit properties and behavior from another class.
Polymorphism: Objects of different classes can be treated as objects of a common superclass.
Abstraction: Hiding complex implementation details and showing onl
HashMap is a data structure that stores key-value pairs and uses hashing to quickly retrieve values based on keys.
HashMap internally uses an array of linked lists to store key-value pairs.
When a key-value pair is added, the key is hashed to determine the index in the array where the pair will be stored.
If multiple keys hash to the same index (collision), a linked list is used to store these pairs.
To retrieve a value, t...
Easy to medium questions
Reversing the nodes in a linked list involves changing the direction of pointers to go from the end to the beginning.
Iterate through the linked list and reverse the pointers to point to the previous node instead of the next node.
Use three pointers - prev, current, and next - to keep track of the nodes while reversing the list.
Update the head of the linked list to point to the last node after reversing.
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