Terms

Question 1

What is heart of lake house

Answer 1

Delta lake

Question 2

What is delta lake

Answer 2

An open approach to bringing data management and governance to data lakes

Question 3

Benefits of delta lake

Answer 3

Better reliability
48x faster data processing with indexing
Data governance at scale with fine grained access control lists

Question 4

Benefits of data bricks

Answer 4

Simple data only needs to exist once
Open based on open source
Collaborative. Can share across data engineering data analytics data science data applications. No longer siloed

Question 5

Lake house exists on top of

Answer 5

Data lake

Question 6

Control plane

Answer 6

Back end services that data bricks managed in its own cloud account

Notebook commands and workplace configurations stored here

Encrypted at rest

Question 7

Data plane

Answer 7

Where data is processed
Resides in your own cloud account
Hooks into data bricks and other proprietary systems

Question 8

Clusters

Answer 8

A set of computational resources and configurations on which your run data engineering, data science and data analytics workload

Question 9

Clusters live

Answer 9

In the data plane, the cluster management is in control plane

Question 10

Clusters are

Answer 10

Made up of one or more virtual machine instances

Question 11

Driver

Answer 11

Part of a cluster, coordinators activities of executors

Distributes workload across worker nodes

Question 12

Executor

Answer 12

Runs tasks composing a spark job

Question 13

All purpose clusters

Answer 13

Analyze data collaboratively using interactive notebooks
Create clusters from the workspace or api
Retains up to 70 clusters for up to 30 days
Can manually stop and start
Multiple users can share them

Question 14

Job clusters

Answer 14

Run automated jobs
The databricks job scheduler creates job clusters when running jobs
Created by a schedule and terminated when job is complete
Cannot restart a job cluster
Retains up to 30 clusters

Question 15

What is job cluster retention

Answer 15

30 days unless manually pinned

Question 16

Notebooks

Answer 16

Primary way to interact with code

Question 17

Notebook languages

Answer 17

Sql
Python
ArA
Scala

Question 18

What can go in notebooks

Answer 18

Plots
Images
Markdown texcode

Question 19

Do you need to restart cluster if you edit it

Answer 19

Depends on edit

Question 20

What resources returned when cluster is terminated

Answer 20

Associates vm purged
Operational memory purged
Attached volume storage deleted
Network connection between nodes removed

Question 21

When are clusters configurations terminated

Answer 21

Idle for 30 days

After 70 terminations

Question 22

What should I do with results from a cluster job

Answer 22

If it needs to persist move it to permanent storage otherwise it will be removed with the cluster

Question 23

Does cluster purge affect code

Answer 23

No

Question 24

Do notebooks need a cluster

Answer 24

Yes

Question 25

Can you mix languages

Answer 25

Yes, even if you set a default.

Question 26

What is the magic databricks symbol

Answer 26

%

Question 27

Where can you restart a cluster

Answer 27

From Custer menu

From Custer drop down In notebook.

Question 28

Magic command to run one notebook from o other

Answer 28

%run

Question 29

Databricks Utica name

Answer 29

Dbutils.fs.lis

Question 30

Databricks versioning is inmjtable

Answer 30

False. Attached to a notebook copy the notebook history is lost.