Content Updates: MJJ 2026

HackerEarth is pleased to share the latest content additions to our library. This update focuses on scaling core programming and SQL coverage, expanding into system design and data science assessments, growing campus and non-technical content (including CEFR), strengthening DevOps evaluation, and introducing new hands-on assessment formats — including AI & Prompt Engineering, Reverse Engineering, and expanded cloud and Salesforce assessment support.

Content Summary

MCQ and Subjective Additions

• CEFR content: New questions added across different CEFR levels and question types, expanding language-proficiency assessment coverage.
• AI Skills Tracker: Scaled the library supporting the AI Skills Tracker.
• Campus assessments: Added content across multiple tech and non-tech topics to support campus assessments for college accounts.

Project Additions

Scaled project content across FastAPI, NodeJS, Gen AI, HTML+SaSS, React+SaSS, Flask, Django, FastAPI+React, MERN, Django+React, Flask+React, and Swift — expanding real-world, framework-specific evaluation coverage.

Programming Additions

Added 150+ questions scaling core programming and DSA topics, including:

• Arrays
• Sorting
• Greedy Algorithm
• Binary Search
• Data Structures
• And more

SQL Additions

Added 50 questions scaling SQL topics, including:

• Aggregate Functions
• CTE Problems
• Joins
• Nested Queries
• Window Functions

Diagram Additions

Added questions on System Design / Software Design, enabling assessment of candidates' ability to design and reason about system architecture.

DevOps Additions

Added 24 questions covering hands-on DevOps and infrastructure skills, including:

• Moto (cloud service simulation)
• Kubernetes
• Terraform
• CI/CD
• GitHub Actions

Data Science Additions

Added questions on:

• Regression
• Computer Vision

New Question Formats & Types

We've introduced several new formats to enable deeper, more practical skill evaluation:

Hands-On DevOps & AI Subjective Format A fully non-MCQ assessment format combining three question types — hands-on DevOps/IDE tasks, scenario-based subjective questions:

• DevOps sections test real hands-on skills, including Linux and shell scripting, Docker and Dockerfile optimization, Kubernetes deployments and networking, Ansible/IaC automation, storage and disaster recovery, security operations, and penetration testing.
• Subjective sections cover deep scenario-based problem solving — such as network fault diagnosis, distributed systems strategy, security architecture and threat response, and vulnerability analysis using the MITRE ATT&CK framework.
• The AI & Prompt Engineering section replaces theoretical AI questions with scenario- or diagram-based tasks: candidates write an effective prompt to solve a real, role-specific problem, and their prompt is scored against an expected prompt — testing practical prompt-engineering skill rather than generic AI knowledge.

Prompt Engineering Tests a candidate's ability to write efficient, effective prompts within given constraints, including evaluation of prompt token consumption.

Reverse Engineering Evaluates a candidate's ability to infer hidden logic purely from observed behavior — no spec or source code provided, just outputs to reason from. This mirrors real-world engineering work like debugging undocumented systems, understanding legacy code, or analyzing unfamiliar data formats — surfacing genuine problem-solving ability and filtering out candidates who rely on shortcuts or memorization.

Cloud / DevOps Skills (via Moto) Using Moto, an open-source library that simulates AWS services locally, we can now assess candidates on cloud-based skills — such as working with S3 or DynamoDB — entirely in-memory, without needing real cloud credentials or infrastructure. This allows organizations to evaluate real-world cloud proficiency reliably and at scale.

Salesforce Skills (Apex, SOQL, SOSL) We now support Salesforce coding questions on the platform, covering Apex, SOQL, and SOSL. This is backed by an end-to-end execution and grading framework — including a dedicated Salesforce org, secure authentication, hidden test cases, and automated evaluation — enabling organizations to assess real-world Salesforce development skills.

At HackerEarth, we continue to enhance our content library to ensure assessments remain practical, skill-focused, and future-ready. These additions enable organizations to evaluate candidates more effectively across core programming skills, data-driven roles, system design thinking, hands-on DevOps and AI reasoning, and specialized platforms like cloud and Salesforce.