EXPLAIN THE CONCEPT OF SPARSE VECTOR.Spark Interview Questions for Freshers/Apache Spark Interview Questions and Answers for Freshers & Experienced

EXPLAIN THE CONCEPT OF SPARSE VECTOR.

A vector is a one-dimensional array of elements. However, in many applications, the vector elements have mostly zero values that are said to be sparse.

Posted Date:- 2021-10-22 03:37:17

What file systems does Spark support?

How can Apache Spark be used alongside Hadoop?

What is a Parquet file?

What do you understand by worker node?

Is there a module to implement SQL in Spark? How does it work?

How is machine learning implemented in Spark?

What is PageRank in GraphX?

Is there an API for implementing graphs in Spark?

How is Streaming implemented in Spark? Explain with examples.

Define Spark DataFrames.

Name the components of Spark Ecosystem.

What do you understand by Transformations in Spark?

Define Partitions in Apache Spark.

What is Executor Memory in a Spark application?

Under what scenarios do you use Client and Cluster modes for deployment?

Explain the working of Spark with the help of its architecture.

HOW MANY FORMS OF TRANSFORMATIONS ARE THERE?

EXPLAIN WHAT ACCUMULATORS ARE.

EXPLAIN WHAT SCHEMARDD IS.

Is there any benefit of learning MapReduce if Spark is better than MapReduce?

What is a lazy evaluation in Spark?

Do you need to install Spark on all nodes of YARN cluster?

What are the data formats supported by Spark?

What is YARN?

What are the languages supported by Apache Spark and which is the most popular one?

Define the functions of Spark Core.

WHAT IS THE METHOD FOR CREATING A DATA FRAME?

EXPLAIN THE CONCEPT OF SPARSE VECTOR.

What are the different cluster managers available in Apache Spark?

What are receivers in Apache Spark Streaming?

Is it possible to run Apache Spark on Apache Mesos?

What are the steps involved in structured API execution in Spark?

Is it necessary to install spark on all the nodes of a YARN cluster when running Apache Spark on YARN ?

What do you understand by lazy evaluation?

What is DAG in Spark?

What is the role of a Spark Driver?

How many types of Deploy mode are there in Spark?

What is Shuffling in Spark?


Name different types of data sources available in SparkSQL.

Can you use Spark to access and analyse data stored in Cassandra databases?

What are the languages supported by Apache Spark for developing big data applications?

Explain about transformations and actions in the context of RDDs.

What is a Sparse Vector?

List some use cases where Spark outperforms Hadoop in processing.

What is Shark?

Explain how Spark runs applications with the help of its architecture.

What are the important components of the Spark ecosystem?

What is RDD?

What are the features of Apache Spark?

Can you tell me what is Apache Spark about?

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