100+ Technoforte Software Interview Questions and Answers

K-means is a clustering algorithm that partitions data into k clusters based on similarity.

• K-means is an unsupervised learning algorithm

• It starts by randomly selecting k centroids

• Data points are assigned to the nearest centroid

• Centroids are recalculated based on the mean of the assigned data points

• The process is repeated until convergence or a maximum number of iterations is reached

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 managers like YARN, Mesos, and Kubernetes