Databricks Quizzes: Uncovering the Secrets

Welcome to your Databricks Quizzes: Uncovering the Secrets

This quiz has multiple choice questions and each has only one correct answer.

Total Questions : 20

You have 30 Minutes to complete this quiz

To pass this quiz you need to score 80% or above

Today's Date : 4 December 2025

All the best!!

Name

What is the primary programming language used in Databricks notebooks?

Deselect Answer

Ruby

Java

Scala

Python

None

What is the purpose of Databricks Delta Lake?

Deselect Answer

A real-time streaming engine

A data warehousing solution

A machine learning model deployment platform

An open data format for storing and managing big data

None

What is the purpose of Databricks Spark UI?

Deselect Answer

To monitor and visualize Spark jobs and cluster performance

To encrypt and store sensitive data for a Spark Session

To manage user access and permissions

To optimize query performance of data pipeline

None

Which of the following is a key advantage of using Databricks Repos?

Deselect Answer

Integration with version control systems like Git

Deployment of machine learning models

Automatic code optimization

Support for real-time collaboration

None

Which of the following is a key advantage of using Databricks?

Deselect Answer

Limited integration with other data sources

Simplified deployment and management of Apache Spark clusters

Reduced cloud infrastructure costs

Supports only batch processing workloads

None

What is the underlying processing engine used by Databricks?

Deselect Answer

Apache Kafka

Apache Hive

Apache Hadoop

Apache Spark

None

Which of the following is a key feature of Databricks?

Deselect Answer

Integration with on-premises Hadoop clusters only

Collaborative notebooks for data exploration and visualization

Deployment of models in batch mode only

Support for only Python programming language

None

Which of the following is a key feature of Databricks Collaborative Notebooks?

Deselect Answer

Deployment of machine learning models

Integration with on-premises Hadoop clusters

Support for real-time collaboration

Automatic code optimization

None

What is the purpose of Databricks Workflows?

Deselect Answer

To manage user access and permissions on data pipeline

To optimize query performance

To schedule and automate data processing tasks

To create and manage multi-task data pipelines

None

10.

What is the purpose of Databricks Clusters?

Deselect Answer

To provide scalable and elastic computing resources for data processing

To manage user access and permissions

To monitor and visualize data pipelines

To store and manage structured and unstructured data

None

11.

What is the purpose of Databricks Jobs?

Deselect Answer

To optimize query performance for data pipeline

To manage user access and permissions on data pipeline

To schedule and automate data processing tasks

To monitor and visualize data pipelines

None

12.

Which of the following is a key feature of Databricks Delta Engine?

Deselect Answer

Support for on-premises Hadoop clusters

ACID transactions and data versioning

Real-time streaming capabilities

Automatic code optimization

None

13.

What is Databricks?

Deselect Answer

A programming language for big data processing

An open-source distributed file system

A cloud-based data engineering platform

A relational database management system

None

14.

Which of the following is a key advantage of using Databricks for data engineering?

Deselect Answer

Limited support for structured and unstructured data formats

Designed specifically for deep learning workloads

Supports only batch processing workloads

Simplified deployment and management of data pipelines

None

15.

What is the purpose of Databricks Secrets?

Deselect Answer

To monitor and visualize data pipelines

To encrypt and store sensitive data

To manage user access and permissions

To optimize query performance

None

16.

Which of the following is a key advantage of using Databricks for machine learning?

Deselect Answer

Designed specifically for deep learning workloads

Seamless integration with Apache Spark for distributed processing

Limited support for popular machine learning libraries

Supports only supervised learning algorithms

None

17.

Which of the following is a key feature of Databricks Delta Live Tables?

Deselect Answer

Real-time streaming capabilities

ACID transactions and data versioning

Support for on-premises Hadoop clusters

Automatic incremental data processing and updating of data pipelines

None

18.

What is the purpose of Databricks MLflow?

Deselect Answer

To monitor and visualize ML data pipelines

An open-source platform for managing the end-to-end machine learning lifecycle

To manage user access and permissions ML tasks

To optimize performance of ML algorithms

None

19.

What is the purpose of Databricks Cluster Policies?

Deselect Answer

To monitor and visualize data pipelines

To optimize query performance on a cluster

To manage user access and permissions to Databricks clusters

To schedule and automate data processing tasks

None

20.

Which of the following is a key feature of Databricks Runtime?

Deselect Answer

Automatic code optimization

Support for real-time collaboration

Pre-configured and optimized runtime environments for Apache Spark

Integration with version control systems

None

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