Authentic CompTIA Certification Exam XK0-006 Questions Answers

To create an appropriate device label, format and create an ext4 file system on the new partition, you can use the following commands:

To create a GPT (GUID Partition Table) label on the new drive /dev/sdc, you can use the parted command with the -s option (for script mode), the device name (/dev/sdc), the mklabel command, and the label type (gpt). The command is:

parted -s /dev/sdc mklabel gpt

To create a primary partition of 10 GB on the new drive /dev/sdc, you can use the parted command with the -s option, the device name (/dev/sdc), the mkpart command, the partition type (primary), the file system type (ext4), and the start and end points of the partition (1 and 10G). The command is:

parted -s /dev/sdc mkpart primary ext4 1 10G

To format and create an ext4 file system on the new partition /dev/sdc1, you can use the mkfs command with the file system type (ext4) and the device name (/dev/sdc1). The command is:

mkfs.ext4 /dev/sdc1

You can verify that the new partition and file system have been created by using the lsblk command, which will list all block devices and their properties.

Container troubleshooting is a key competency within the Automation, Orchestration, and Scripting domain of CompTIA Linux+ V8. When users report that an application running inside containers is not accessible, one of the first validation steps is to confirm whether the containers are currently running.

The docker ps command is specifically designed to list running containers on the system. By default, it displays container IDs, image names, command executed, uptime, port mappings, and container names. This allows administrators to quickly determine whether the application container is active and whether it is exposing the expected ports. This aligns directly with Linux+ V8 guidance on container lifecycle management and operational validation.

The other options are not suitable for this purpose. docker start is used to start one or more stopped containers but does not display container status. docker run creates and starts a new container, which is not appropriate when the goal is only to check the status of existing containers. docker images lists locally available container images but provides no information about running or stopped containers.

Linux+ V8 documentation emphasizes the importance of using the correct Docker subcommands when diagnosing containerized applications. Verifying container runtime state using docker ps is a foundational troubleshooting step before investigating networking, firewall rules, or application-level errors.

Therefore, the correct command to validate whether containers are running is docker ps, making Answer B correct.

This scenario clearly indicates a memory exhaustion condition, which falls under the Troubleshooting domain of the CompTIA Linux+ V8 objectives. The most critical clue is the log entry stating that mysqld invoked oom-killer.

The OOM (Out-Of-Memory) killer is a Linux kernel mechanism that activates when the system runs critically low on available memory and cannot satisfy memory allocation requests. When this happens, the kernel selects a process—typically one consuming a large amount of memory—and forcibly terminates it to protect overall system stability. In this case, the MySQL daemon (mysqld) was identified as the process responsible for triggering the OOM condition.

The journalctl output explicitly confirms this behavior. Linux+ V8 documentation emphasizes that when the OOM killer is invoked, it is almost always due to physical memory exhaustion or insufficient swap space, not user intervention or application bugs alone. The additional log line showing mems_allowed=0 further supports the conclusion that the process could not allocate memory from available memory nodes.

The fact that uptime -p reports only 2 minutes of uptime strongly suggests that the system was either rebooted automatically or manually following the memory exhaustion event. Systems may reboot as part of recovery procedures after severe resource exhaustion, especially in production environments.

The other options can be ruled out. There is no indication of a user-initiated kill signal, filesystem corruption, or network connectivity issues. Network outages would not generate OOM killer messages, and filesystem errors would appear as I/O or disk-related errors in the logs.

Linux+ V8 best practices recommend addressing OOM issues by increasing system memory, tuning MySQL memory parameters, configuring swap space, or adjusting OOM scoring.

Therefore, the correct explanation is A. The process exhausted server memory.