


XK0-006 CompTIA Linux+ Certification Practice Test 2026
CompTIA Linux+ validates your ability to manage, secure, automate, and troubleshoot Linux systems in cloud and hybrid environments. You will gain hands-on experience with automation, orchestration, security, and containers to prepare for roles like Linux systems administrator, systems engineer, and network engineer. Linux+ demonstrates your ability to support and protect the critical Linux platforms that businesses rely on.
CompTIA Linux+ exam objectives summary -
System Management (23%)
Linux basics: Identify boot process steps, kernel, filesystems, and architectures.
Device management: Manage kernel modules, hardware components, and device utilities.
Storage management: Configure LVM, RAID, partitions, and mounted storage.
Network configuration: Set up hosts, DNS, interfaces, and network tools.
Shell operations: Use navigation, editing, redirection, and environment variables.
Backups and restores: Perform archiving, compression, and data recovery.
Virtualization: Deploy hypervisors, create VMs, and manage disk images.
Services and User Management (20%)
Files & directories: Control permissions, create links, and manage special files.
Account management: Add, remove, and modify users and groups.
Process control: Monitor states, adjust priorities, and schedule jobs.
Software management: Install, update, or remove packages and repositories.
Systems management: Start, stop, and review services, logs, and timers.
Containers: Operate container runtimes, manage images, and create networks.
Security (18%)
Auth & accounting: Configure PAM, LDAP, Kerberos, and enable auditing.
Firewalls: Set firewalls using iptables, nftables, UFW, and zone rules.
OS hardening: Apply permissions, configure sudo, and secure remote access.
Account security: Enforce password policies, restrict shells, and enable MFA.
Cryptography: Encrypt files, use hashing, and manage certificates.
Compliance: Verify integrity, run scans, and maintain standards.
Automation, Orchestration, and Scripting (17%)
Automation: Automate tasks with Ansible, Puppet, and CI/CD tools.
Shell scripting: Write and troubleshoot variables, functions, and logic flows.
Python basics: Develop scripts using environments, packages, and data types.
Version control: Manage code with Git workflows and tagging.
AI best practices: Apply code generation and prompt engineering responsibly.
Troubleshooting (22%)
System monitoring: Monitor health, logs, and event alerts.
Hardware/storage: Diagnose boot, mount, and repair issues.
Networking: Resolve firewall, routing, DNS, and connectivity problems.
Security: Fix SELinux, permission, and vulnerability issues.
Performance: Analyze CPU, memory, I/O, and optimize response times.