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Ebazhanov avatar

Ebazhanov/linkedin-skill-assessments-quizzes

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28,781 stars·12,952 forks·Python·AGPL-3.0·28 viewsebazhanov.github.io/linkedin-skill-assessments-quizzes↗

Linkedin Skill Assessments Quizzes

This project is a technical quiz reference database and answer key designed for passing LinkedIn skill assessments and other professional technical certifications. It serves as a searchable repository of verified questions and correct answers used to earn skill badges and validate professional proficiency.

The database covers a wide range of technical domains, including various programming languages, database technologies, and cloud infrastructure certifications such as AWS Lambda and REST API assessments. It functions as a study guide for those preparing for industry-standard technical tests and coding evaluations.

The system utilizes a flat-file knowledge base and static-file data storage to organize answers. Users can retrieve specific information by querying the starting words of a question through a search-based interface.

Features

  • Certification Answer Keys - Provides a searchable database of verified questions and correct answers for passing professional technical skill certifications.
  • Technical Proficiency Assessments - Provides verified questions and answers specifically designed to pass LinkedIn technical skill assessments.
  • Skill Assessments - Acts as a curated reference for passing LinkedIn technical skill assessments and earning badges.
  • Certification Preparation Materials - Provides comprehensive answer keys and study materials for professional technical certification exams.
  • Professional Certifications - Serves as a study guide for various industry-recognized professional technical certifications.
  • Question and Answer Sets - Provides comprehensive sets of questions and answers for preparing for professional technical certifications.
  • Question-Answer Mappings - Offers a searchable mapping of questions to answers to help users find specific technical solutions.
  • Technical Quiz Databases - Provides a searchable repository of verified answers to help users pass professional technical exams.
  • Flat-File Databases - Uses a flat-file database architecture to organize verified technical answers by skill and language.
  • Flat-File Storage - Stores assessment questions and answers in structured flat files to serve as a read-only reference database.
  • Keyword Matching - Provides a search interface to locate answers by matching the starting words of a question.
  • Certification Test Banks - Provides a database of technical test questions for cloud infrastructure assessments like AWS Lambda.
  • Cloud Infrastructure Certifications - Contains a dedicated database of test questions for AWS Lambda and REST API cloud certifications.
  • Programming Language Interview Questions - Includes a library of technical questions and answers for languages like Python, Java, and Go.
  • Technical Interview Preparation - Offers a curated set of common technical questions to prepare for coding evaluations and interviews.

Star history

Star history chart for ebazhanov/linkedin-skill-assessments-quizzesStar history chart for ebazhanov/linkedin-skill-assessments-quizzes

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does ebazhanov/linkedin-skill-assessments-quizzes do?

This project is a technical quiz reference database and answer key designed for passing LinkedIn skill assessments and other professional technical certifications. It serves as a searchable repository of verified questions and correct answers used to earn skill badges and validate professional proficiency.

What are the main features of ebazhanov/linkedin-skill-assessments-quizzes?

The main features of ebazhanov/linkedin-skill-assessments-quizzes are: Certification Answer Keys, Technical Proficiency Assessments, Skill Assessments, Certification Preparation Materials, Professional Certifications, Question and Answer Sets, Question-Answer Mappings, Technical Quiz Databases.

Which projects share features with ebazhanov/linkedin-skill-assessments-quizzes?

Projects with overlapping indexed features include: trimstray/test-your-sysadmin-skills — This project is a Linux system administration question bank designed to evaluate knowledge of server management. It… darcyclarke/front-end-developer-interview-questions — This project is a curated repository of specialized technical questions and assessment guides used to evaluate… ksundong/backend-interview-question — This project is a backend engineering interview guide and computer science study resource. It provides a curated… wolverinn/waking-up — Waking-Up is a backend interview study guide and computer science knowledge base. It serves as a learning path for… mgechev/google-interview-preparation-problems — This repository is a collection of solved coding challenges and technical problems designed to assist software… scutan90/deeplearning-500-questions — This project is a comprehensive study guide and knowledge base for deep learning, machine learning, and the associated…

Projects sharing features with Linkedin Skill Assessments Quizzes

These projects share indexed features with Linkedin Skill Assessments Quizzes. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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    This project is a Linux system administration question bank designed to evaluate knowledge of server management. It serves as a technical reference and study guide through a collection of curated questions and answers. The resource provides targeted preparation for technical interviews and professional exams. It specifically covers DevOps interview preparation, including containerization, continuous integration, and version control. The knowledge base spans several core competency areas, including system internals, kernel architectures, and the Linux boot process. It also includes materials

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    This project is a curated repository of specialized technical questions and assessment guides used to evaluate proficiency in core web technologies. It serves as a question bank and assessment guide for testing knowledge of browser APIs, CSS, JavaScript, and HTTP protocols. The repository provides a technical skill evaluation framework consisting of open-ended prompts. These are used for front-end candidate evaluation, standardizing technical hiring workflows, and facilitating interview preparation for web developers. The content is organized via a category-driven information architecture an

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  • ksundong/backend-interview-questionksundong avatar

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    This project is a backend engineering interview guide and computer science study resource. It provides a curated collection of technical questions and answers focused on server-side architecture, database optimization, and networking fundamentals to prepare for professional software engineering evaluations. The resource functions as a technical reference for studying ACID properties, transaction isolation, and the optimization of relational and non-relational systems. It includes a software architecture reference for analyzing design patterns, dependency injection, and the structural tradeoff

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  • wolverinn/waking-upwolverinn avatar

    wolverinn/Waking-Up

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    Waking-Up is a backend interview study guide and computer science knowledge base. It serves as a learning path for candidates to master the essential theory required for backend engineering roles through a curated repository of core concepts. The project functions as a technical interview question bank, pairing common interview questions with detailed follow-up queries. This structure is designed to simulate real technical screenings and test the depth of a candidate's knowledge. The content covers fundamental computer science domains, specifically operating systems, networking, and database

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