Which of the following best describes a DataFrame in Apache Spark?

A local, in-memory data structure that is not distributed

An immutable, distributed collection of elements without a schema

A collection of key-value pairs with no column names

A distributed collection of data organized into named columns with a schema

What is the primary purpose of Spark SQL?

To perform real-time stream processing with exactly-once semantics

To provide a library of machine learning algorithms

To enable querying structured data using SQL and the DataFrame API

To provide a low-level API for manipulating RDDs

What is MLlib in Apache Spark?

A compatibility layer for running pandas code on Spark

A library for machine learning that provides algorithms and utilities for classification, regression, clustering, and more

A tool for real-time stream processing

A module for processing structured data using SQL

What key feature distinguishes a DataFrame from an RDD in Spark?

DataFrames have a schema, while RDDs do not

DataFrames are only available in Scala, while RDDs are available in all languages

DataFrames are immutable, while RDDs are mutable

DataFrames are stored on disk, while RDDs are stored in memory

Which statement accurately describes the Pandas API on Spark?

It allows pandas code to run on Spark, enabling scaling to large datasets

It is a version of pandas that runs on a single machine

It is a tool for converting Spark DataFrames to pandas DataFrames

It is a separate library that replaces Spark SQL

DatabricksCertified Associate Developer for Apache Spark

Domain 1Objective 7

Identify the Features of the Apache Spark Modules, Including Core, Spark SQL, DataFrames, Pandas API on Spark, Structured Streaming, and MLib. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 3)

Part of the Apache Spark Architecture and Components domain, which accounts for 20% of the ASSOCIATE-DEVELOPER-APACHE-SPARK exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–12 in this domain), expect 1–2 from this objective — we provide 25 practice questions to prepare you well beyond it. (estimate)

25questions here

5free pages

6concepts

20%of the exam

Questions 11–15

11foundation · easy
Which of the following best describes a DataFrame in Apache Spark?
Select an answer first
12foundation · easy
What is the primary purpose of Spark SQL?
Select an answer first
13foundation · easy
What is MLlib in Apache Spark?
Select an answer first
14foundation · easy
What key feature distinguishes a DataFrame from an RDD in Spark?
Select an answer first
15foundation · easy
Which statement accurately describes the Pandas API on Spark?
Select an answer first

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