Architecture, Tradeoffs & Case Studies

Question 1

What is the primary programming language used in Databricks?

Answer 1

Scala, but it also supports Python, R, and SQL.

Question 2

True or False: Databricks is built on Apache Spark.

Answer 2

True.

Question 3

Fill in the blank: Databricks provides a unified analytics platform that integrates __________, data engineering, and machine learning.

Answer 3

data science.

Question 4

What is a Databricks workspace?

Answer 4

A collaborative environment where teams can work on data projects.

Question 5

Which feature allows users to create notebooks in Databricks?

Answer 5

Databricks Notebooks.

Question 6

What is Delta Lake?

Answer 6

An open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

Question 7

True or False: Databricks can only be deployed on AWS.

Answer 7

False.

Question 8

What is the primary benefit of using Delta Lake with Databricks?

Answer 8

It provides reliability and performance improvements for big data workloads.

Question 9

What is a cluster in Databricks?

Answer 9

A set of computation resources and configurations for running notebooks and jobs.

Question 10

Which of the following is a key feature of Databricks: A) Data Warehousing B) Data Lakes C) Both A and B

Answer 10

C) Both A and B.

Question 11

What is the purpose of Databricks Jobs?

Answer 11

To run automated tasks and workflows in Databricks.

Question 12

Fill in the blank: The Databricks runtime is a set of __________ that Databricks uses to run Spark applications.

Answer 12

optimizations.

Question 13

What is the significance of the Databricks REST API?

Answer 13

It allows programmatic access to Databricks functionalities.

Question 14

True or False: Databricks supports real-time analytics.

Answer 14

True.

Question 15

What is MLflow?

Answer 15

An open-source platform for managing the machine learning lifecycle.

Question 16

Which language is primarily used for data engineering in Databricks?

Answer 16

SQL.

Question 17

What are the two types of clusters in Databricks?

Answer 17

Interactive clusters and job clusters.

Question 18

Fill in the blank: Databricks allows collaboration through __________.

Answer 18

shared notebooks.

Question 19

What is the primary tradeoff of using Databricks?

Answer 19

Cost versus performance depending on usage patterns.

Question 20

What does the term ‘autoscaling’ refer to in the context of Databricks?

Answer 20

The ability to automatically adjust the number of nodes in a cluster based on workload.

Question 21

True or False: Databricks supports integration with various data sources.

Answer 21

True.

Question 22

What is the role of the Databricks File System (DBFS)?

Answer 22

To provide a distributed file system for storing data in Databricks.

Question 23

Fill in the blank: To improve performance, Databricks uses __________ to optimize query execution.

Answer 23

caching.

Question 24

What is the purpose of Databricks SQL?

Answer 24

To allow SQL querying on data stored in Databricks.

Question 25

Which of the following is NOT a feature of Databricks: A) Collaborative Workspaces B) Version Control C) Manual Scaling

Answer 25

C) Manual Scaling.

Question 26

What type of analytics does Databricks primarily support?

Answer 26

Batch and streaming analytics.

Question 27

True or False: Databricks supports machine learning model deployment.

Answer 27

True.

Question 28

What is the function of the Databricks Runtime ML?

Answer 28

It is optimized for machine learning workloads.

Question 29

Fill in the blank: Databricks integrates seamlessly with __________ for data visualization.

Answer 29

Tableau.

Question 30

What type of data storage does Databricks primarily use?

Answer 30

Data lakes.

Question 31

What is a common use case for Databricks?

Answer 31

Data engineering and ETL processes.

Question 32

True or False: Databricks can be used for both data preparation and data analysis.

Answer 32

True.

Question 33

What does the 'Unity Catalog' feature in Databricks do?

Answer 33

It provides centralized governance for data and AI assets.

Question 34

Fill in the blank: Databricks can run on multiple cloud platforms including __________, __________, and __________.

Answer 34

AWS, Azure, Google Cloud.

Question 35

What is the advantage of using a managed service like Databricks?

Answer 35

Reduced operational overhead and simplified infrastructure management.

Question 36

What is the primary function of the Databricks workspace?

Answer 36

To enable collaboration among data teams.

Question 37

What type of processing can Databricks handle?

Answer 37

Both batch and real-time processing.

Question 38

True or False: Databricks supports running Apache Spark jobs on Kubernetes.

Answer 38

True.

Question 39

What is the purpose of the Databricks CLI?

Answer 39

To provide command-line interface access to Databricks resources.

Question 40

Fill in the blank: Databricks enables __________ through its collaborative notebooks.

Answer 40

team collaboration.

Question 41

What is a key feature of the Databricks Delta format?

Answer 41

It supports ACID transactions.

Question 42

What does 'data lineage' refer to in Databricks?

Answer 42

The ability to track the flow of data through various transformations.

Question 43

True or False: Databricks does not support Python for data analysis.

Answer 43

False.

Question 44

What is the benefit of using Databricks for machine learning?

Answer 44

It simplifies the model training and deployment process.

Question 45

What is the purpose of the Databricks community edition?

Answer 45

To provide free access to Databricks for learning and experimentation.

Question 46

Fill in the blank: Databricks can be integrated with __________ for enhanced data processing capabilities.

Answer 46

Apache Kafka.

Question 47

What is a common tradeoff when using Databricks?

Answer 47

The balance between cost and performance.

Question 48

What type of analytics does Databricks support for IoT data?

Answer 48

Streaming analytics.

Question 49

True or False: Databricks can automatically optimize query performance.

Answer 49

True.

Question 50

What is the function of the Databricks query optimizer?

Answer 50

To enhance the performance of SQL queries.

Question 51

Fill in the blank: Databricks supports __________ for version control and collaboration.

Answer 51

Git integration.

Question 52

What is the significance of the Databricks data science workspace?

Answer 52

It facilitates collaborative data science projects.

Question 53

What does the term 'notebook' refer to in Databricks?

Answer 53

An interactive document for running code and visualizing results.

Question 54

True or False: Databricks can only process structured data.

Answer 54

False.

Question 55

What is the role of the Databricks data engineer?

Answer 55

To design and build data pipelines.

Question 56

Fill in the blank: __________ is a key component in the architecture of Databricks, providing the underlying processing engine.

Answer 56

Apache Spark.

Question 57

What is the primary advantage of using Databricks over traditional data warehouses?

Answer 57

Scalability and flexibility in handling big data.

Question 58

What is a common use case for Delta Lake in Databricks?

Answer 58

Building reliable data lakes with ACID compliance.

Question 59

True or False: Databricks supports batch processing only.

Answer 59

False.

Question 60

What is the function of the Databricks SQL Analytics service?

Answer 60

To provide a serverless SQL analytics experience.

Question 61

Fill in the blank: Databricks allows users to create __________ for data visualization and reporting.

Answer 61

dashboards.

Question 62

What is the primary purpose of Databricks Repos?

Answer 62

To manage code and collaborate on data projects.

Question 63

What is the benefit of using a serverless architecture in Databricks?

Answer 63

It simplifies resource management and scaling.

Question 64

True or False: Databricks enables machine learning model versioning.

Answer 64

True.

Question 65

What is the purpose of Delta Engine in Databricks?

Answer 65

To accelerate query performance on Delta Lake.

Question 66

Fill in the blank: The __________ feature in Databricks allows for the orchestration of complex workflows.

Answer 66

Job scheduler.

Question 67

What is the advantage of using Databricks with Apache Kafka?

Answer 67

It allows real-time processing of streaming data.

Question 68

What does the Databricks platform provide for data governance?

Answer 68

Centralized management of data access and security.

Question 69

True or False: Databricks can be used for data exploration and visualization.

Answer 69

True.

Question 70

What is the primary function of the Databricks workspace UI?

Answer 70

To provide an interactive interface for managing data projects.

Question 71

Fill in the blank: Databricks allows users to perform __________ on large datasets efficiently.

Answer 71

data transformations.

Question 72

What is a key consideration when scaling Databricks clusters?

Answer 72

The cost associated with cluster usage.

Question 73

What is the purpose of the Databricks Academy?

Answer 73

To provide training and resources for Databricks users.

Question 74

True or False: Databricks can only be accessed through a web interface.

Answer 74

False.