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%)
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Computing basics: input, processing, output, and storage fundamentals.
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Notational systems: binary, hexadecimal, decimal, and octal systems.
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Units of measure: storage (bit, byte, KB, GB, TB), speed (MHz, GHz), and throughput (bps, Mbps, Gbps).
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Troubleshooting methodology: identifying problems, testing theories, implementing solutions, and documenting findings.
Infrastructure (24%)
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Computing devices: smartphones, tablets, laptops, servers, IoT devices, and gaming consoles.
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Internal components: motherboard, CPU, RAM, storage (HDD, SSD, NVMe), NIC, and GPU.
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Storage types: volatile vs. non-volatile, local, network, and cloud storage.
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Peripheral setup: printers, scanners, monitors, and driver installation.
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Device interfaces: USB, HDMI, Ethernet, Bluetooth, and NFC.
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Virtualization and cloud: hypervisors, SaaS, PaaS, IaaS, hybrid, and on-premises models.
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Networking basics: LAN vs. WAN, IP/MAC addresses, routers, switches, and firewalls.
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Wireless networks: 802.11 standards, speed, and interference considerations.
Applications and software (18%)
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Operating systems: mobile, desktop, server, embedded systems.
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OS components: file systems (NTFS, FAT32), interfaces (GUI, command line), utilities, and drivers.
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Software types: productivity tools, collaboration apps, web browsers, and remote support.
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Web browser features: private browsing, add-ons, password management, and cache clearing.
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Artificial intelligence: chatbots, assistants, and generative AI for content and predictions.
Software development concepts (13%)
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Programming languages: interpreted, compiled, scripting, markup, and assembly.
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Data types: char, strings, numbers (integers, floats), and Boolean.
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Programming concepts: variables, constants, arrays, functions, and objects.
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Organizational techniques: pseudocode, flowcharts, object-oriented methods, branching, looping.
Data and database fundamentals (13%)
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Value of data: data-driven decisions, reporting, and monetization.
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Database concepts: relational vs. non-relational, tables, rows, fields, primary/foreign keys.
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Database use: queries, reports, scalability, cloud vs. local storage.
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Backup concepts: file and system backups, local vs. cloud storage.
Security (19%)
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Security concepts: confidentiality, integrity, availability, authentication, and authorization.
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Device security: anti-malware, firewalls, patching, physical security, safe browsing.
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Password practices: length, complexity, privacy, reuse, and password managers.
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Encryption: data at rest, data in transit, HTTPS, VPNs, mobile devices.








