Data Layers: Data Layers in software development refer to the components or frameworks responsible for storing, retrieving, and manipulating data. This skill is measured in the test to assess the candidate's understanding and proficiency in data management and storage techniques.
Statistical Layers: Statistical Layers involve the use of statistical models and algorithms to analyze data and extract meaningful insights. This skill is important to measure as it assesses the candidate's ability to apply statistical techniques in data analysis and decision-making.
Initializers: Initializers in software development are functions or code blocks that are executed to initialize the state or setup of a program or application. This skill is measured to evaluate the candidate's understanding of initialization processes to ensure correct program initialization and setup.
Test Execution: Test Execution refers to the process of running and validating test cases against software or systems. Measuring this skill helps assess the candidate's ability to effectively execute tests, identify and report bugs, and ensure the quality and reliability of the software.
Mocha Backends: Mocha Backends are testing frameworks used in JavaScript for writing and executing test cases. This skill is measured to evaluate the candidate's knowledge of Mocha and their proficiency in setting up test environments and writing test cases using Mocha in JavaScript.
Computation Layer: The Computation Layer refers to the components or modules responsible for performing complex computations or calculations in software systems. This skill is important to measure as it assesses the candidate's ability to design and implement efficient algorithms and perform high-performance computations.
Utility Layers: Utility Layers in software development are modules or components that provide common functionalities or tools to support the main functionality of an application. This skill is measured to evaluate the candidate's understanding and experience in creating and using utility modules to enhance the functionality and maintainability of software systems.
CPU Backend with Native Extension: CPU Backend with Native Extension refers to the integration of CPU-centric processing capabilities and native extensions in software systems. This skill is measured to assess the candidate's expertise in optimizing code performance by utilizing CPU-specific optimizations and incorporating native extensions for increased efficiency and speed.