QGIS Practice Exam

QGIS Practice Exam

QGIS (Quantum Geographic Information System) is an software application which is used for mapping and spatial analysis, as well as managing geospatial data. The software is open-source geographic information system. The software provides functionalities to manage, visualize, and analyze spatial data which is needed for  urban planning, environmental science, natural resource management. The software is flexible as it supports many file formats, connect with other GIS tools, and supports both vector and raster data.

Certification in QGIS certifies your skills and knowledge in using QGIS for geospatial analysis. The certification assess you in QGIS tools, spatial analysis, detailed maps development, and managing geographic data

Why is QGIS certification important?

• The certification validates your skills and knowledge of QGIS for geospatial analysis.
• Increases your employability in GIS related roles.
• Increases your career opportunities in urban planning jobs.
• Shows your skills in using QGIS for geospatial applications.
• Improves your credibility as a GIS professional.
• Attests to your knowledge of creating maps.
• Verifies your capabilities to use QGIS with other softwares.

Who should take the QGIS Exam?

• GIS Analyst
• Geospatial Data Scientist
• Urban Planner
• Environmental Consultant
• Cartographer
• GIS Technician
• Spatial Data Analyst
• Land Surveyor
• Remote Sensing Specialist
• Geospatial Consultant

Skills Evaluated

Candidates taking the certification exam on the QGIS is evaluated for the following skills:

• QGIS Interface and Tools
• Vector and Raster Data Handling
• Data Editing and Management
• Geospatial Analysis
• Map Creation and Customization
• Georeferencing and Projection Management
• Advanced Spatial Analysis
• Data Visualization
• Working with External Data Sources
• Python Scripting for Automation

QGIS Certification Course Outline
The course outline for QGIS certification is as below -

Domain 1 - Introduction to QGIS

• Overview of QGIS software
• Installing and configuring QGIS
• Understanding the QGIS user interface

Domain 2 - Data Types and Formats

• Working with vector data (points, lines, and polygons)
• Working with raster data (images, grids, and DEMs)
• Supported file formats and conversion techniques

Domain 3 - Data Management and Editing

• Digitizing features in QGIS
• Attribute editing and data manipulation
• Data cleaning and transformation
• Managing data in layers and tables

Domain 4 - Geospatial Analysis

• Buffering, overlay, and intersection operations
• Proximity analysis (e.g., nearest neighbor, distance calculation)
• Spatial queries and attribute queries
• Raster analysis and processing

Domain 5 - Map Creation and Cartography

• Adding layers, labels, and symbology
• Designing map layouts and printing maps
• Customizing map legends, scale bars, and grids

Domain 6 - Georeferencing and Coordinate Systems

• Georeferencing raster data
• Managing projections and coordinate reference systems (CRS)
• Reprojecting and transforming data

Domain 7 - Advanced Spatial Analysis

• Network analysis and routing
• Terrain modeling (e.g., slope, aspect, hillshade)
• Statistical analysis and geostatistics

Domain 8 - Python Scripting and Automation

• Introduction to Python scripting in QGIS
• Automating tasks with Python and PyQGIS
• Extending QGIS functionality with plugins

Domain 9 - Working with External Data Sources

• Integrating web mapping services (WMS/WFS)
• Connecting QGIS to spatial databases (PostGIS)
• Using external APIs and data formats (GeoJSON, KML, CSV)

Domain 10 - QGIS Plugins and Customization

• Installing and using QGIS plugins
• Developing custom QGIS plugins
• QGIS customization options for specialized workflows