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 : 9 November 2024

All the best!!

Name

What is the purpose of Databricks' Auto Loader feature?

Deselect Answer

To automatically scale cluster resources based on workload

To load balance queries across multiple clusters

To incrementally and efficiently load data into Delta Lake tables

To automatically optimize table statistics

None

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

Deselect Answer

To optimize data transfer between Databricks clusters

To share data between different Databricks workspaces

To enable secure, real-time data sharing across organizations

To synchronize Delta tables across multiple cloud providers

None

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

Deselect Answer

Single Node

High Concurrency

Standard

Distributed Processing

None

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

Deselect Answer

All-Purpose Compute

Jobs Compute

Real-Time Compute

SQL Compute

None

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

Deselect Answer

Centralized governance for data, analytics, and AI assets

Automated data quality checks and cleansing

Automated machine learning model selection

Real-time collaboration tools for data scientists

None

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

Deselect Answer

Python

JavaScript

SQL

None

Which of the following best describes Databricks' Koalas library?

Deselect Answer

A library for processing Koala genome data

A pandas-like API for PySpark DataFrames

A high-performance C++ extension for Spark

A library for building neural networks on Spark

None

What is the purpose of Databricks' Delta Live Tables?

Deselect Answer

To automate the creation and management of data pipelines

To optimize table storage for faster query performance

To provide real-time analytics on streaming data

To enable cross-database table joins

None

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

Deselect Answer

Experiment tracking

Project packaging

Model registry

Automated model deployment

None

10.

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

Deselect Answer

Dynamic View Functions

Credential Passthrough

Table ACLs

Unity Catalog

None

11.

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

Deselect Answer

ORC

Parquet

JSON

Avro

None

12.

What is the primary purpose of Databricks' Photon engine?

Deselect Answer

To enhance Python execution speed

To accelerate SQL queries on large datasets

To manage distributed file systems

To optimize image processing workloads

None

13.

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

Deselect Answer

Enhanced support for streaming data processing

Better integration with external data sources

Support for a wider range of SQL operations

Improved query performance through vectorized execution

None

14.

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

Deselect Answer

MongoDB collections

External Hive metastore tables

Azure Synapse Analytics

Delta Lake tables

None

15.

What is the purpose of Databricks' Delta Lake technology?

Deselect Answer

To optimize cluster resource allocation

To provide a SQL query engine for data lakes

To offer a unified data management layer for data lakes

To replace traditional data warehouses

None

16.

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

Deselect Answer

Databricks Runtime includes proprietary optimizations and additional libraries

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

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

Databricks Runtime only supports SQL while Apache Spark supports multiple languages

None

17.

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

18.

Which of the following best describes Databricks' Repos feature?

Deselect Answer

A data catalog for discovering and sharing datasets

A centralized repository for storing and managing machine learning models

A version control system for notebooks and related assets

A system for managing cluster configurations and libraries

None

19.

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

Deselect Answer

To convert a Delta table to a different file format

To transform unstructured data into a structured Delta table

To convert a Spark DataFrame to a Delta table

To migrate a Parquet table to Delta format

None

20.

What is the primary language used for developing Databricks Runtime?

Deselect Answer

Java

Python

Scala

None

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