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Lpi 305-300 Exam Syllabus Topics:

SectionWeightObjectives
Full Virtualization25%- Libvirt Virtual Machine Management
  • 1. virsh command usage (list, define, undefine, start, stop)
  • 2. Manage virtualization hosts and VMs (libvirt domains) using libvirt and related tools
  • 3. virt-install options
  • 4. Snapshots and migrations
  • 5. Virtual networking and storage management
  • 6. Domain XML configuration
- Virtual Machine Disk Image Management
  • 1. Manage virtual machines disk images
  • 2. Converting disk images between formats and hypervisors
  • 3. qcow2 vs raw formats
  • 4. Accessing data stored within an image
  • 5. Backing file chains and snapshot handling
  • 6. qemu-img info, convert, resize operations
- QEMU
  • 1. QEMU machine types
  • 2. QEMU networking
  • 3. Install, configure, maintain, migrate and troubleshoot QEMU installations
  • 4. QEMU command line tools
- Xen
  • 1. Install, configure, maintain, migrate and troubleshoot Xen installations
  • 2. Domain configuration
  • 3. Xen management tools
  • 4. Xen version 4.x
- Virtualization Concepts and Theory
  • 1. Xen, QEMU and libvirt terminology
  • 2. Hypervisor architectures
  • 3. Device emulation vs paravirtual drivers
  • 4. General concepts, theory and terminology of virtualization
  • 5. Hardware virtualization extensions (VT-x/AMD-V)
VM Deployment and Provisioning10%- Cloud Management Tools
  • 1. Basic feature knowledge of commonly available cloud management tools
  • 2. Common offerings in public clouds
- Cloud Init
  • 1. Cloud-init configuration and modules
  • 2. Using cloud-init for instance initialization
- Vagrant
  • 1. Vagrantfiles and providers
  • 2. Provisioning of virtual machines with Vagrant
  • 3. Use Vagrant to manage virtual machines
- Packer
  • 1. Using Packer for automated image building
  • 2. Packer templates and builders
Container Virtualization25%- LXC
  • 1. LXC/LXD profiles and images
  • 2. Use system containers using LXC and LXD
  • 3. Resource limits configuration
  • 4. LXC version 3.0 or higher
- Container Virtualization Concepts
  • 1. Differences between system containers and application containers
  • 2. Concept of container virtualization
  • 3. Linux kernel components: namespaces and cgroups
  • 4. Linux capabilities
  • 5. Troubleshooting container components using standard Linux tools
- Container Orchestration Platforms
  • 1. Docker Swarm key concepts
  • 2. Understanding container orchestration importance
  • 3. Kubernetes key concepts
  • 4. Docker Compose
- Docker
  • 1. Docker architecture
  • 2. How Docker interacts with the node's Linux system
  • 3. Building images with Dockerfiles
  • 4. Deploying applications with Docker
  • 5. Managing volumes and networks
  • 6. Manage Docker nodes and Docker containers

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Lpi LPIC-3 Exam 305: Virtualization and Containerization Sample Questions (Q34-Q39):

NEW QUESTION # 34
A clone of a previously used virtual machine should be created. All VM specific information, such as user accounts, shell histories and SSH host keys should be removed from the cloned disk image. Which of the following tools can perform these tasks?

Answer: B

Explanation:
Explanation
Sysprep is a tool that removes all your personal account and security information, and then prepares the machine to be used as an image. It is supported by Windows and some Linux distributions. It can also remove drivers and other machine-specific settings. Sysprep is required when creating a managed image outside of a gallery in Azure
https://learn.microsoft.com/en-us/azure/virtual-machines/generalize


NEW QUESTION # 35
What is the name of the kernel module that is required to be loaded in order to use KVM on an Intel CPU architecture?
(Specify ONLY the module name without any path information and with or without the module suffix.) Solution:
kvm-intel.ko - or - kvm-intel - or - kvm_intel.ko - or - kvm_intel
Determine whether the given solution is correct?

Answer: A

Explanation:
Kernel-based Virtual Machine (KVM) relies on hardware-assisted virtualization features provided by modern CPUs. OnIntel CPU architectures, this support is enabled through thekvm_intelkernel module. Official KVM and Linux virtualization documentation clearly states that the required module for Intel processors is namedkvm_intel, with the optional .ko suffix when referring to the kernel object file.
The provided solution lists multiple acceptable representations of the module name, includingkvm_inteland kvm_intel.ko, both of which are valid and correct. Linux kernel module naming conventions allow the module to be referenced with or without the .ko suffix when loading it using tools such as modprobe or lsmod.
Although variants using a hyphen (kvm-intel) are not the canonical kernel module name, the solution explicitly includes the correct and documented module name. Therefore, the solutioncorrectly identifies the required kernel modulefor enabling KVM on Intel CPUs.
Virtualization documentation emphasizes that KVM functionality requires both the generic kvm module and the CPU-specific module (kvm_intel for Intel or kvm_amd for AMD). Hence, the determination that the solution iscorrectaligns with verified documentation.


NEW QUESTION # 36
What is true aboutcontainerd?

Answer: A


NEW QUESTION # 37
Which of the following statements are true regarding resource management for full virtualization? (Choose two.)

Answer: C,D

Explanation:
Resource management for full virtualization is the process of allocating and controlling the physical resources of the host system to the virtual machines running on it. The hypervisor is the software layer that performs this task, by providing each virtual machine with a virtual hardware of a defined capacity that limits the resources of the virtual machine. For example, the hypervisor can specify how many virtual CPUs, how much memory, and how much disk space each virtual machine can use. The hypervisor can also enforce resource isolation and prioritization among the virtual machines, to ensure that they do not interfere with each other or consume more resources than they are allowed to. The hypervisor cannot provide fine-grained limits to internal elements of the guest operating system, such as the number of processes, because the hypervisor does not have access to the internal state of the guest operating system. The guest operating system is responsible for managing its own resources within the virtual hardware provided by the hypervisor. For example, the guest operating system can create an arbitrary amount of network sockets, as long as it does not exceed the network bandwidth allocated by the hypervisor. Full virtualization can pose limits to virtual machines, and does not always assign the host system's resources in a first-come-first-serve manner. The hypervisor can use various resource management techniques, such as reservation, limit, share, weight, and quota, to allocate and control the resources of the virtual machines. The hypervisor can also use resource scheduling algorithms, such as round-robin, fair-share, or priority-based, to distribute the resources among the virtual machines according to their needs and preferences. All processes created within the virtual machines are not transparently and equally scheduled in the host system for CPU and I/O usage. The hypervisor can use different scheduling policies, such as proportional-share, co-scheduling, or gang scheduling, to schedule the virtual CPUs of the virtual machines on the physical CPUs of the host system. The hypervisor can also use different I/O scheduling algorithms, such as deadline, anticipatory, or completely fair queuing, to schedule the I/O requests of the virtual machines on the physical I/O devices of the host system. The hypervisor can also use different resource accounting and monitoring mechanisms, such as cgroups, perf, or sar, to measure and report the resource consumption and performance of the virtual machines. References:
* Oracle VM VirtualBox: Features Overview
* Resource Management as an Enabling Technology for Virtualization - Oracle
* Introduction to virtualization and resource management in IaaS | Cloud Native Computing Foundation


NEW QUESTION # 38
What is the purpose of a .dockerignore file?

Answer: A

Explanation:
The purpose of a .dockerignore file is to specify files that Docker does not submit to the Docker daemon when building a Docker image. A .dockerignore file is a text file that contains a list of files or directories that should be excluded from the build context, which is the set of files and folders that are available for use in a Dockerfile. By using a .dockerignore file, you can avoid sending files or directories that are large, contain sensitive information, or are irrelevant to the Docker image to the daemon, which can improve the efficiency and security of the build process. The other options are incorrect because they do not describe the function of a .dockerignore file. Option A is wrong because a .dockerignore file does not affect the files existing in a Docker image, but only the files sent to the daemon during the build. Option C is wrong because a .
dockerignore file does not exist in the root file system of containers, but in the same directory as the Dockerfile. Option D is wrong because a .dockerignore file does not affect the volumes that Docker attaches to a container, but only the files included in the build context. Option E is wrong because a .dockerignore file does not affect the parts of a Dockerfile that are executed, but only the files available for use in a Dockerfile.
References:
* What are .dockerignore files, and why you should use them?
* Dockerfile reference | Docker Docs
* How to use .dockerignore and its importance - Shisho Cloud


NEW QUESTION # 39
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