Unlock The Expert Level Databricks Quizzes: Test Your Knowledge!

Welcome to your Unlock The Expert Level Databricks Quizzes: Test Your Knowledge!

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 : 30 March 2025

All the best!!

Name

What is the purpose of Databricks' Delta Live Tables?

Deselect Answer

To automate the creation and management of data pipelines

To provide real-time analytics on streaming data

To optimize table storage for faster query performance

To enable cross-database table joins

None

Which security feature in Databricks allows for fine-grained access control at the row and column level?

Deselect Answer

Dynamic View Functions

Unity Catalog

Table ACLs

Credential Passthrough

None

What is the primary purpose of Databricks' Photon engine?

Deselect Answer

To accelerate SQL queries on large datasets

To enhance Python execution speed

To manage distributed file systems

To optimize image processing workloads

None

Which of the following best describes Databricks' Repos feature?

Deselect Answer

A centralized repository for storing and managing machine learning models

A version control system for notebooks and related assets

A data catalog for discovering and sharing datasets

A system for managing cluster configurations and libraries

None

Which of the following is NOT a supported cluster type in Databricks?

Deselect Answer

SQL Compute

All-Purpose Compute

Real-Time Compute

Jobs Compute

None

What is the purpose of the CONVERT TO DELTA command in Databricks?

Deselect Answer

To transform unstructured data into a structured Delta table

To convert a Delta table to a different file format

To migrate a Parquet table to Delta format

To convert a Spark DataFrame to a Delta table

None

Which of the following best describes Databricks' Lakehouse architecture?

Deselect Answer

A traditional data warehouse with improved performance

A data warehouse built on top of a data lake

A cloud-native data lake with ACID transactions

A combination of data lake and data warehouse capabilities

None

What is the purpose of Databricks' Auto Loader feature?

Deselect Answer

To load balance queries across multiple clusters

To automatically scale cluster resources based on workload

To automatically optimize table statistics

To incrementally and efficiently load data into Delta Lake tables

None

Which of the following best describes Databricks' Koalas library?

Deselect Answer

A library for processing Koala genome data

A library for building neural networks on Spark

A high-performance C++ extension for Spark

A pandas-like API for PySpark DataFrames

None

10.

What is the purpose of Databricks' Delta Lake technology?

Deselect Answer

To optimize cluster resource allocation

To offer a unified data management layer for data lakes

To provide a SQL query engine for data lakes

To replace traditional data warehouses

None

11.

What is the primary advantage of using Databricks' Photon engine over the standard Spark SQL engine?

Deselect Answer

Enhanced support for streaming data processing

Improved query performance through vectorized execution

Better integration with external data sources

Support for a wider range of SQL operations

None

12.

Which of the following is NOT a valid notebook language in Databricks?

Deselect Answer

SQL

Python

JavaScript

None

13.

What is the primary purpose of Databricks' Delta Sharing protocol?

Deselect Answer

To enable secure, real-time data sharing across organizations

To share data between different Databricks workspaces

To optimize data transfer between Databricks clusters

To synchronize Delta tables across multiple cloud providers

None

14.

Which of the following is a key feature of Databricks' Unity Catalog?

Deselect Answer

Centralized governance for data, analytics, and AI assets

Real-time collaboration tools for data scientists

Automated data quality checks and cleansing

Automated machine learning model selection

None

15.

What is the primary language used for developing Databricks Runtime?

Deselect Answer

Scala

Python

Java

None

16.

Which file format is primarily used by Databricks for optimized big data storage and processing?

Deselect Answer

JSON

Avro

Parquet

ORC

None

17.

What is the primary difference between Databricks Runtime and Apache Spark?

Deselect Answer

Databricks Runtime is closed-source while Apache Spark is open-source

Databricks Runtime only supports SQL while Apache Spark supports multiple languages

Apache Spark is cloud-based while Databricks Runtime is on-premises

Databricks Runtime includes proprietary optimizations and additional libraries

None

18.

Which of the following is NOT a feature of Databricks' MLflow?

Deselect Answer

Automated model deployment

Experiment tracking

Model registry

Project packaging

None

19.

Which of the following is NOT a supported data source in Databricks SQL?

Deselect Answer

Azure Synapse Analytics

External Hive metastore tables

Delta Lake tables

MongoDB collections

None

20.

Which of the following is NOT a valid cluster mode in Databricks?

Deselect Answer

Single Node

Distributed Processing

Standard

High Concurrency

None

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