Free 300+ Apache Spark MCQ Questions and Answers | Quizs MCQs on Apache Spark | Beginner to Expert

Apache Spark is one of the most powerful open-source frameworks for distributed data processing and big data analytics. With its high performance, ease of use, and versatility, Spark is widely used across industries for tasks like data transformation, real-time analytics, and machine learning. Preparing for Apache Spark certification exams or interviews requires a strong grasp of its core concepts, features, and applications. To help you excel, we’ve compiled 300+ Apache Spark MCQs Questions and Answers, covering topics from beginner to expert level.

These MCQs on Apache Spark will help you test your understanding of Spark’s architecture, programming models, and components like Spark SQL, Streaming, MLlib, and GraphX. Whether you’re a student or a professional, these questions will sharpen your skills and give you confidence in handling real-world data challenges.

Explore multiple-choice questions that are carefully designed to cover every essential chapter of Apache Spark, such as setting up Spark, core RDD concepts, advanced data engineering, cloud integrations, and best practices. This guide will not only enhance your knowledge but also prepare you for practical implementation and troubleshooting in Spark-based projects. Get started with these Apache Spark MCQs Questions and elevate your expertise in big data processing!

Sample MCQs

1. Which of the following is the primary abstraction in Apache Spark?
   A. DataFrame
   B. RDD
   C. Dataset
   D. HDFS
   Answer: B
2. What programming languages does Apache Spark support?
   A. Scala, Python, Java, R
   B. JavaScript, C++, PHP
   C. Ruby, Swift, Kotlin
   D. C#, VB.NET, Pascal
   Answer: A
3. Which component of Spark handles structured data processing?
   A. Spark Core
   B. Spark SQL
   C. MLlib
   D. GraphX
   Answer: B
4. What is the default cluster manager in Apache Spark?
   A. Kubernetes
   B. YARN
   C. Standalone
   D. Mesos
   Answer: C
5. What does the term ‘lazy evaluation’ in Spark mean?
   A. Computation is executed immediately
   B. Computation is postponed until an action is performed
   C. Data is never computed
   D. None of the above
   Answer: B
6. Which Spark API is optimized for querying structured data?
   A. DStream
   B. RDD
   C. Dataset
   D. DataFrame
   Answer: D
7. In Spark Streaming, data is divided into smaller parts called:
   A. Chunks
   B. Blocks
   C. Windows
   D. Batches
   Answer: D
8. What is the function of the Catalyst Optimizer in Spark SQL?
   A. File Compression
   B. Query Optimization
   C. Data Partitioning
   D. Memory Management
   Answer: B
9. Which storage level does Spark use by default?
   A. MEMORY_AND_DISK
   B. DISK_ONLY
   C. MEMORY_ONLY
   D. MEMORY_AND_DISK_SER
   Answer: A
10. What is Apache Spark’s machine learning library called?
    A. SparkGraph
    B. MLlib
    C. TensorFlow
    D. PyTorch
    Answer: B