Apache Spark Test 2

Question 1

Spark supports which cluster managers?

Accepted Answer

All of the above

Answer

Apache Spark is designed to be flexible regarding cluster management. It supports running on various cluster managers, including its own Standalone cluster manager, Apache Mesos, and Hadoop YARN, allowing users to choose the best environment for their needs. This broad compatibility makes Spark adaptable to different infrastructure setups.

Question 2

Which of the following statements about Spark MLlib is correct?

Accepted Answer

It is the scalable machine learning library which delivers efficiencies

Answer

Spark MLlib is Apache Spark's scalable machine learning library, offering a wide range of machine learning algorithms and utilities. It is designed for efficiency and can process large datasets in a distributed manner, making it suitable for big data analytics. Its focus on scalability and efficiency is a core characteristic.

Question 3

RDDs are immutable and fault-tolerant.

Accepted Answer

True

Answer

RDDs (Resilient Distributed Datasets) are indeed immutable, meaning once created, their contents cannot be changed. They are also fault-tolerant because they can be rebuilt from their lineage of transformations if a partition is lost, ensuring data integrity. These properties are fundamental to Spark's reliability and performance.

Question 4

Which algorithm is not a solution for the regression problem?

Accepted Answer

Logistic Regression

Answer

Logistic Regression is primarily used for classification problems, where the goal is to predict a categorical outcome (e.g., yes/no, true/false). While it has 'regression' in its name, it models the probability of a binary outcome rather than predicting a continuous value, unlike the other options which are suitable for regression tasks. This distinction is crucial in machine learning.

Question 5

Which of the following statements about Spark R is correct?

Accepted Answer

It allows data scientists to analyze large datasets and interactively run jobs

Answer

SparkR is an R package that provides a lightweight frontend to use Apache Spark from R. It enables R users to interact with Spark, perform data analysis on large datasets, and leverage Spark's distributed computing capabilities within their familiar R environment. This integration empowers data scientists to scale their R workflows.

Apache Spark Practice Test

Apache Spark Practice Test

Apache Spark Test 2