


CompTIA Tech+ (FC0-U71) Practice Test Exam 2026
CompTIA Tech+ is the essential certification for anyone exploring a career in tech. It provides you with the foundational knowledge and hands-on skills needed to navigate today’s digital world, giving you the confidence to take the first step toward a tech-related career. CompTIA Tech+ focuses on practical, real-world skills that help you understand core tech concepts, troubleshoot basic issues, and build a strong foundation for future learning and growth in the tech industry.
CompTIA Tech+ Exam Skill Topics :-
Tech concepts and terminology (13%)
Computing basics: input, processing, output, and storage fundamentals.
Notational systems: binary, hexadecimal, decimal, and octal systems.
Units of measure: storage (bit, byte, KB, GB, TB), speed (MHz, GHz), and throughput (bps, Mbps, Gbps).
Troubleshooting methodology: identifying problems, testing theories, implementing solutions, and documenting findings.
Infrastructure (24%)
Computing devices: smartphones, tablets, laptops, servers, IoT devices, and gaming consoles.
Internal components: motherboard, CPU, RAM, storage (HDD, SSD, NVMe), NIC, and GPU.
Storage types: volatile vs. non-volatile, local, network, and cloud storage.
Peripheral setup: printers, scanners, monitors, and driver installation.
Device interfaces: USB, HDMI, Ethernet, Bluetooth, and NFC.
Virtualization and cloud: hypervisors, SaaS, PaaS, IaaS, hybrid, and on-premises models.
Networking basics: LAN vs. WAN, IP/MAC addresses, routers, switches, and firewalls.
Wireless networks: 802.11 standards, speed, and interference considerations.
Applications and software (18%)
Operating systems: mobile, desktop, server, embedded systems.
OS components: file systems (NTFS, FAT32), interfaces (GUI, command line), utilities, and drivers.
Software types: productivity tools, collaboration apps, web browsers, and remote support.
Web browser features: private browsing, add-ons, password management, and cache clearing.
Artificial intelligence: chatbots, assistants, and generative AI for content and predictions.
Software development concepts (13%)
Programming languages: interpreted, compiled, scripting, markup, and assembly.
Data types: char, strings, numbers (integers, floats), and Boolean.
Programming concepts: variables, constants, arrays, functions, and objects.
Organizational techniques: pseudocode, flowcharts, object-oriented methods, branching, looping.
Data and database fundamentals (13%)
Value of data: data-driven decisions, reporting, and monetization.
Database concepts: relational vs. non-relational, tables, rows, fields, primary/foreign keys.
Database use: queries, reports, scalability, cloud vs. local storage.
Backup concepts: file and system backups, local vs. cloud storage.
Security (19%)
Security concepts: confidentiality, integrity, availability, authentication, and authorization.
Device security: anti-malware, firewalls, patching, physical security, safe browsing.
Password practices: length, complexity, privacy, reuse, and password managers.
Encryption: data at rest, data in transit, HTTPS, VPNs, mobile devices.