Our GIS skills test is the ideal pre-hire assessment for recruiters & hiring managers to assess a candidate’s skills objectively before an interview. The GIS assessment test is useful for hiring GIS analysts and has helped our customers reduce technical screening time by 80%.
GIS stands for “geographic information system,” which is a tool used for gathering, managing, and analyzing data. GIS mainly helps to integrate many types of data, analyzes spatial location, and organizes layers of information into visualizations. These visualizations may be in the form of maps or 3D scenes. GIS has the power to reveal more in-depth insights into data, such as patterns, relationships, and situations - helping users make smarter decisions. GIS technology is also useful in applying geographic information science (GIScience) with tools. This helps people to reach a common goal and gain actionable intelligence from all types of data.
The GIS skills test helps recruiters & hiring managers to evaluate a candidate’s ability to analyze spatial data, discover spatial patterns & develop mapping applications. GIS (Geographic Information System) assessment test is designed by experienced Subject Matter Experts (SMEs) to evaluate and hire a GIS analyst per industry standards.
The GIS online test helps to screen the candidates who possess the following traits:
Candidates can take the GIS interview test from anywhere in the comfort of their time zone. This GIS test is designed considering EEOC guidelines. It will help you to assess & hire diverse talent without any bias.
The GIS skills assessment test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio/Video Questions, AI-LogicBox, Job-based Simulations, True or False Questions, etc.
You have obtained high-resolution datasets at a range of scales, termed "Structure-from-Motion" (SfM), using a certain photogrammetric technique.
In the given technique, which of the given challenges posed by the traditional softcopy photogrammetric technique can be solved by using a highly redundant bundle adjustment based on matching features in multiple overlapping, offset images?
Note: There can be multiple correct answers to this question.
Options