Data Layers: Data Layers involve creating, managing, and manipulating data structures within a software application. This skill is measured in the test to assess a candidate's ability to handle complex data structures and ensure efficient data management.
Statistical Layers: Statistical Layers refer to the techniques and methods used for analyzing and interpreting data to extract meaningful insights. This skill is included in the test to evaluate a candidate's proficiency in statistical analysis and their ability to derive valuable information from data sets.
Initializers: Initializers are responsible for setting up the necessary components and configurations of a program before it can run. This skill is measured in the test to assess a candidate's understanding of the initialization process and their ability to successfully set up a program for execution.
Test Execution: Test Execution refers to the process of running and evaluating software tests to ensure the functionality, reliability, and performance of a program. In this test, it is measured to gauge a candidate's expertise in executing tests and their familiarity with best practices for test execution.
Mocha Backends: Mocha Backends are the components responsible for processing and executing code written in the Mocha programming language. Measuring this skill aims to assess a candidate's proficiency in utilizing Mocha Backends and their ability to effectively implement Mocha code.
Computation Layer: The Computation Layer focuses on the mathematical calculations and algorithms used in a software program. This skill is included in the test to evaluate a candidate's aptitude in handling complex computations and their understanding of algorithmic principles.
Utility Layers: Utility Layers consist of various functions and tools that aid in the development and maintenance of software applications. This skill is measured in the test to assess a candidate's knowledge and proficiency in utilizing utility functions to enhance the functionality and efficiency of their code.
CPU Backend with Native Extension: A CPU Backend with Native Extension allows the execution of Mocha code to be optimized and accelerated by utilizing hardware capabilities. This skill is measured in the test to evaluate a candidate's ability to leverage CPU backends with native extensions to enhance the performance of their code.