Exploring ArcGIS Notebooks Fundamentals

What is ArcGIS Notebooks primarily extended from?

• Google Colab

• Jupyter Notebooks

• RStudio

• MATLAB

Which programming language is primarily used in ArcGIS Notebooks?

• Java

• C++

• Python

• Ruby

What is a kernel in the context of ArcGIS Notebooks?

• A type of database

• A language-specific process that runs independently

• A data storage unit

• A visualisation tool

Which of the following is NOT a step in the analysis workflow mentioned in the prompt?

• Data wrangling

• Data mining

• Data exploration

• Data engineering

What must be done before loading data into an ArcGIS notebook using an ArcGIS Python API?

• Install ArcGIS Pro

• Connect to the GIS where the data is located

• Create a new database

• Export data to CSV

Which API is used to access a project's map and add layers in ArcGIS Notebooks?

• ArcGIS API for JavaScript

• ArcPy API

• Leaflet API

• OpenLayers API

What types of data can be loaded into ArcGIS Notebooks to enhance analysis discovery?

• Only spatial data

• Only CSV files

• Tables, CSV files, and websites

• Only geodatabases

What is the first step in the basic workflow for connecting to a hosted GIS server?

• Export data to a local file

• Import the ArcGIS API for Python library

• Create a new map

• Install additional Python libraries

Which of the following is a benefit of using ArcGIS Notebooks?

• Limited access to Python libraries

• Inability to perform spatial analysis

• Ability to solve spatial problems

• Restricted data visualisation options

What can be done with the analysis results in ArcGIS Notebooks?

• Only export to Excel

• Display directly in the notebook or in ArcGIS Pro

• Only save as a PDF

• Only print as a hard copy