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| Section | Weight | Objectives |
|---|
| Topic 1: VM Deployment and Provisioning | 10% | - Vagrant
- 1. Use Vagrant to manage virtual machines
- 2. Vagrantfiles and providers
- 3. Provisioning of virtual machines with Vagrant
- Cloud Management Tools
- 1. Common offerings in public clouds
- 2. Basic feature knowledge of commonly available cloud management tools
- Packer
- 1. Packer templates and builders
- 2. Using Packer for automated image building
- Cloud Init
- 1. Using cloud-init for instance initialization
- 2. Cloud-init configuration and modules
|
| Topic 2: Full Virtualization | 25% | - Xen
- 1. Install, configure, maintain, migrate and troubleshoot Xen installations
- 2. Domain configuration
- 3. Xen version 4.x
- 4. Xen management tools
- QEMU
- 1. Install, configure, maintain, migrate and troubleshoot QEMU installations
- 2. QEMU machine types
- 3. QEMU networking
- 4. QEMU command line tools
- Libvirt Virtual Machine Management
- 1. Domain XML configuration
- 2. virt-install options
- 3. virsh command usage (list, define, undefine, start, stop)
- 4. Snapshots and migrations
- 5. Virtual networking and storage management
- 6. Manage virtualization hosts and VMs (libvirt domains) using libvirt and related tools
- Virtualization Concepts and Theory
- 1. General concepts, theory and terminology of virtualization
- 2. Device emulation vs paravirtual drivers
- 3. Hardware virtualization extensions (VT-x/AMD-V)
- 4. Hypervisor architectures
- 5. Xen, QEMU and libvirt terminology
- Virtual Machine Disk Image Management
- 1. qcow2 vs raw formats
- 2. Converting disk images between formats and hypervisors
- 3. qemu-img info, convert, resize operations
- 4. Manage virtual machines disk images
- 5. Accessing data stored within an image
- 6. Backing file chains and snapshot handling
|
| Topic 3: Container Virtualization | 25% | - Container Virtualization Concepts
- 1. Concept of container virtualization
- 2. Linux kernel components: namespaces and cgroups
- 3. Linux capabilities
- 4. Differences between system containers and application containers
- 5. Troubleshooting container components using standard Linux tools
- Docker
- 1. Deploying applications with Docker
- 2. How Docker interacts with the node's Linux system
- 3. Managing volumes and networks
- 4. Manage Docker nodes and Docker containers
- 5. Docker architecture
- 6. Building images with Dockerfiles
- 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 Orchestration Platforms
- 1. Kubernetes key concepts
- 2. Understanding container orchestration importance
- 3. Docker Compose
- 4. Docker Swarm key concepts
|
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Lpi LPIC-3 Exam 305: Virtualization and Containerization Sample Questions (Q45-Q50):
NEW QUESTION # 45
What is the purpose of capabilities in the context of container virtualization?
- A. Map potentially dangerous system calls to an emulation layer provided by the container virtualization.
- B. Allow regular users to start containers with elevated permissions.
- C. Enable memory deduplication to cache files which exist in multiple containers.
- D. Restrict the disk space a container can consume.
- E. Prevent processes from performing actions which might infringe the container.
Answer: E
NEW QUESTION # 46
What is the primary benefit of using Packer for creating machine images?
- A. It simplifies the deployment of virtual machines
- B. It provides real-time monitoring of virtual machines
- C. It speeds up the development of application code
- D. It ensures consistency between development and production environments
Answer: D
Explanation:
Packer is an image automation tool whose primary benefit is ensuring consistency across environments.
According to virtualization and DevOps documentation, Packer allows administrators to create identical machine images for development, testing, and production from a single configuration.
By using the same base image and build process, Packer eliminates configuration drift and ensures that environments behave consistently. This significantly reduces deployment issues caused by environmental differences and supports Infrastructure as Code best practices.
Packer does not monitor virtual machines or directly speed up application development. While it can indirectly simplify deployments, its main advantage is image consistency and repeatability.
Therefore, the correct answer is B.
NEW QUESTION # 47
Which operating systems are compatible with cloud-init? (Select all that apply)
- A. Android
- B. Windows
- C. Linux
- D. macOS
Answer: C
Explanation:
Cloud-initis an initialization and configuration system designed primarily forLinux-based cloud instances.
According to official cloud-init documentation, it is supported on a wide range of Linux distributions, including Ubuntu, Red Hat Enterprise Linux, CentOS, Debian, and SUSE.
Windows systems use a separate project calledCloudbase-Init, which is not cloud-init itself. macOS and Android do not support cloud-init.
Therefore, the correct answer isC (Linux).
NEW QUESTION # 48
Which of the following values would be valid in the FROM statement in aDockerfile?
- A. registry:ubuntu:focal
- B. ubuntu:focal
- C. docker://ubuntu: focal
- D. http://docker.example.com/images/ubuntu-focal.iso
- E. file:/tmp/ubuntu/Dockerfile
Answer: B
NEW QUESTION # 49
Which of the following statements are true regarding resource management for full virtualization? (Choose two.)
- A. The hygervisor may provide fine-grained limits to internal elements of the guest operating system such as the number of processes.
- B. All processes created within the virtual machines are transparently and equally scheduled in the host system for CPU and I/O usage.
- C. The hypervisor provides each virtual machine with hardware of a defined capacity that limits the resources of the virtual machine.
- D. It is up to the virtual machine to use its assigned hardware resources and create, for example, an arbitrary amount of network sockets.
- E. Full virtualization cannot pose any limits to virtual machines and always assigns the host system's resources in a first-come-first-serve manner.
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 # 50
......
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