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 : 8 November 2024

All the best!!

Name

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

Deselect Answer

Automatic incremental data processing and updating of data pipelines

Real-time streaming capabilities

ACID transactions and data versioning

Support for on-premises Hadoop clusters

None

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

Deselect Answer

Integration with version control systems like Git

Automatic code optimization

Deployment of machine learning models

Support for real-time collaboration

None

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

Deselect Answer

Designed specifically for deep learning workloads

Limited support for popular machine learning libraries

Supports only supervised learning algorithms

Seamless integration with Apache Spark for distributed processing

None

What is the purpose of Databricks Secrets?

Deselect Answer

To optimize query performance

To monitor and visualize data pipelines

To manage user access and permissions

To encrypt and store sensitive data

None

What is the purpose of Databricks MLflow?

Deselect Answer

To manage user access and permissions ML tasks

To optimize performance of ML algorithms

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

To monitor and visualize ML data pipelines

None

What is the purpose of Databricks Cluster Policies?

Deselect Answer

To manage user access and permissions to Databricks clusters

To optimize query performance on a cluster

To monitor and visualize data pipelines

To schedule and automate data processing tasks

None

What is the primary programming language used in Databricks notebooks?

Deselect Answer

Ruby

Scala

Python

Java

None

Which of the following is a key feature of Databricks?

Deselect Answer

Support for only Python programming language

Integration with on-premises Hadoop clusters only

Deployment of models in batch mode only

Collaborative notebooks for data exploration and visualization

None

What is the purpose of Databricks Jobs?

Deselect Answer

To optimize query performance for data pipeline

To monitor and visualize data pipelines

To schedule and automate data processing tasks

To manage user access and permissions on data pipeline

None

10.

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

11.

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

Deselect Answer

Supports only batch processing workloads

Limited integration with other data sources

Simplified deployment and management of Apache Spark clusters

Reduced cloud infrastructure costs

None

12.

What is the purpose of Databricks Workflows?

Deselect Answer

To create and manage multi-task data pipelines

To manage user access and permissions on data pipeline

To schedule and automate data processing tasks

To optimize query performance

None

13.

What is the purpose of Databricks Spark UI?

Deselect Answer

To manage user access and permissions

To encrypt and store sensitive data for a Spark Session

To optimize query performance of data pipeline

To monitor and visualize Spark jobs and cluster performance

None

14.

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

15.

What is the purpose of Databricks Clusters?

Deselect Answer

To provide scalable and elastic computing resources for data processing

To monitor and visualize data pipelines

To manage user access and permissions

To store and manage structured and unstructured data

None

16.

What is the underlying processing engine used by Databricks?

Deselect Answer

Apache Spark

Apache Kafka

Apache Hive

Apache Hadoop

None

17.

What is the purpose of Databricks Delta Lake?

Deselect Answer

A data warehousing solution

A real-time streaming engine

A machine learning model deployment platform

An open data format for storing and managing big data

None

18.

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

Deselect Answer

Automatic code optimization

ACID transactions and data versioning

Support for on-premises Hadoop clusters

Real-time streaming capabilities

None

19.

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

Deselect Answer

Pre-configured and optimized runtime environments for Apache Spark

Support for real-time collaboration

Automatic code optimization

Integration with version control systems

None

20.

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

Deselect Answer

Designed specifically for deep learning workloads

Supports only batch processing workloads

Limited support for structured and unstructured data formats

Simplified deployment and management of data pipelines

None

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