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HighRadius
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1 hour, the coding test was based on a project given to us
posted on 23 May 2024
Asked 3 problem-solving questions
What people are saying about HighRadius
I applied via Campus Placement
Very easy assignment -web project
HighRadius interview questions for designations
kmeans is a clustering algorithm that groups data points into k clusters based on their similarity.
kmeans is an unsupervised learning algorithm
It starts by randomly selecting k centroids
Then, it assigns each data point to the nearest centroid
After that, it recalculates the centroids based on the mean of the data points in each cluster
It repeats the process until the centroids no longer move significantly
The value of k ...
Random forest is an ensemble of decision trees that improves accuracy and reduces overfitting.
Decision tree is a single tree that predicts outcomes based on a set of rules.
Random forest combines multiple decision trees to make a more accurate prediction.
Random forest reduces overfitting by randomly selecting a subset of features for each tree.
Random forest is a type of supervised learning algorithm used for classificat...
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
Implemented a predictive ML model for customer churn prediction in a telecom company.
Used logistic regression algorithm for classification
Performed feature engineering to extract relevant customer data
Evaluated model performance using metrics like accuracy, precision, recall
20 questions of aptitude
Hard
Very hard
There are 2 sections one is Output guess and Another one is Quantitative
I didn't attend 2nd round..i was eliminated in 1st round
Algorithms for manipulating arrays and strings in coding
Use sorting algorithms like quicksort and mergesort for arrays
Use string manipulation functions like substring and replace for strings
Use dynamic programming for optimizing solutions to array and string problems
Designing a large scale Ad Server
Use distributed systems for scalability
Implement caching for faster ad delivery
Ensure high availability and fault tolerance
Use real-time bidding for efficient ad placement
Implement fraud detection mechanisms
Ensure compliance with privacy regulations
Maximum sub sequence sum in an array
Use Kadane's algorithm
Initialize max_so_far and max_ending_here to 0
Iterate through the array and update max_ending_here and max_so_far
Return max_so_far
Endianness refers to the byte order of a system. It determines how multi-byte data types are stored in memory.
Little-endian systems store the least significant byte first, while big-endian systems store the most significant byte first.
Endianness can affect the way data is transmitted between systems.
To determine the endianness of a system, you can use the byte order mark (BOM) or write a test program that checks the by...
Sort an array of 0's and 1's only.
Use two pointers, one at the beginning and one at the end of the array.
Swap 0's from the beginning with 1's from the end until the pointers meet.
Alternatively, use a counting sort algorithm to count the number of 0's and 1's and then reconstruct the array.
Heaps are data structures used to efficiently find the maximum or minimum element in a collection.
Max heap: parent nodes are always greater than or equal to child nodes
Min heap: parent nodes are always smaller than or equal to child nodes
Heaps are commonly used in priority queues and sorting algorithms
Heap operations include insert, delete, and extract max/min
Example: An array [3, 8, 2, 5, 1, 4, 6] can be represented a
Find 3 numbers in an array where a+b=c.
Loop through the array and check for all possible combinations of a and b.
Use a hash table to store the values of a and b, and check if c is present in the hash table.
Sort the array and use two pointers to find a and b, and then check if their sum equals c.
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