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I applied via Recruitment Consulltant and was interviewed in Mar 2022. There were 3 interview rounds.
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posted on 23 May 2024
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
Transformations in Databricks involve manipulating data using functions like map, filter, reduce, etc.
Transformations are operations that are applied to RDDs in Databricks
Common transformations include map, filter, reduce, flatMap, etc.
Transformations are lazy evaluated and create a new RDD
Example: map transformation to convert each element in an RDD to uppercase
Spark is a distributed computing framework for processing big data.
Spark is built around the concept of Resilient Distributed Datasets (RDDs)
It supports various programming languages like Scala, Java, Python, and R
Spark provides high-level APIs like DataFrames and Datasets for structured data processing
It includes libraries for SQL, streaming, machine learning, and graph processing
Spark can run on various cluster manag
Performance enhancements in PySpark involve optimizing code, tuning configurations, and utilizing efficient data structures.
Use partitioning to distribute data evenly across nodes
Cache intermediate results to avoid recomputation
Optimize joins by broadcasting smaller tables
Use efficient data formats like Parquet or ORC
Tune Spark configurations for memory and parallelism
Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.
Overfitting happens when the decision tree is too complex and captures noise in the training data.
It leads to poor generalization on unseen data, as the model is too specific to the training set.
To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en
Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.
Bagging stands for Bootstrap Aggregating.
It helps reduce overfitting by combining the predictions of multiple models.
Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.
A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.
Neurons are inspired by biological neurons in the human brain.
They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.
Neurons are organized in layers in a neural network, with each layer performing specific tasks.
In deep learning, multiple layers of neurons ar...
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
posted on 28 Feb 2024
I applied via Naukri.com and was interviewed in Jan 2024. There were 3 interview rounds.
I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
posted on 17 Sep 2024
I was asked to implement lru cache which i did but still didn’t made to next round as apparently i didn’t complete the working code though in my opinion i did
posted on 23 Feb 2023
Simple aptitude test with basic questions
We have given project which we have to submit
I want to join because of the company's reputation and growth opportunities.
I am impressed by the company's reputation in the industry.
I believe the company offers great growth opportunities for my career.
I am excited about the projects and technologies the company is working on.
I have heard positive feedback from current or former employees of the company.
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