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| Section | Objectives |
|---|---|
| Topic 1: Container Virtualization | - Container lifecycle management
|
| Topic 2: Container Orchestration | - Scaling and deployment
|
| Topic 3: Storage, Networking, and Security | - Networking
|
| Topic 4: Virtualization Concepts and Implementation | - Hypervisors and architectures
|
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NEW QUESTION # 66
Virtualization of which hardware component is facilitated by CPUs supporting nested page table extensions, such as Intel Extended Page Table (EPT) or AMD Rapid Virtualization Indexing (RVI)?
Answer: E
Explanation:
Nested page table extensions, such as Intel Extended Page Table (EPT) or AMD Rapid Virtualization Indexing (RVI), are hardware features that facilitate the virtualization of memory. They allow the CPU to perform the translation of guest virtual addresses to host physical addresses in a single step, without the need for software-managed shadow page tables. This reduces the overhead and complexity of memory management for virtual machines, and improves their performance and isolation. Nested page table extensions do not directly affect the virtualization of other hardware components, such as network interfaces, host bus adapters, hard disks, or IO cache.
:
Second Level Address Translation - Wikipedia
c - What is use of extended page table? - Stack Overflow
Hypervisor From Scratch - Part 4: Address Translation Using Extended ...
NEW QUESTION # 67
Which of the following statements are true regarding resource management for full virtualization? (Choose two.)
Answer: B,E
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 # 68
Which of the following services can QEMU provide in a user network? (Choose three.)
Answer: D,E
Explanation:
QEMU can provide some network services in a user network, which is a mode of networking that does not require any administrator privilege to run. The user network uses the SLIRP TCP/IP emulator to create a virtual NAT'ted subnet, with a DHCP server started by QEMU that gives out IP addresses to the guest machines and puts the host on 10.0.2.21. QEMU can also provide a TFTP server in the user network, which can be used to boot the guest machines from a network image. The TFTP server can be configured with the - tftp option2. QEMU does not provide BGP, CIFS, or AppleTalk services in the user network. BGP is a routing protocol that is used to exchange routing information between autonomous systems on the Internet3. CIFS is a file-sharing protocol that is used to access files and printers on a network4. AppleTalk is a deprecated network protocol suite that was used by Apple devices5. These services require more advanced networking features than the user network can offer, such as bridging, routing, or tunneling.
:
Documentation/Networking - QEMU
QEMU/Networking - Wikibooks, open books for an open world
Border Gateway Protocol - Wikipedia
Common Internet File System - Wikipedia
AppleTalk - Wikipedia
NEW QUESTION # 69
When using direct Linux booting to start Linux within a KVM virtual machine, which KVM parameter is used to specify parameters for the Linux kernel?
(Specify ONLY the option name without any values or parameters.)
Answer:
Explanation:
-append
Explanation:
When usingdirect kernel bootingwith KVM/QEMU, the-appendoption is used to passkernel command-line parametersto the Linux kernel. This allows administrators to specify boot-time options such as root filesystem location, console settings, or debugging flags.
Official QEMU documentation lists -append as the correct parameter for kernel arguments, making this answer correct.
NEW QUESTION # 70
Ifdocker stackis to be used to run a Docker Compose file on a Docker Swarm, how are the images referenced in the Docker Compose configuration made available on the Swarm nodes?
Answer: D
Explanation:
Docker stack is a command that allows users to deploy and manage a stack of services on a Docker Swarm cluster. A stack is a group of interrelated services that share dependencies and can be orchestrated and scaled together. A stack is typically defined by a Compose file, which is a YAML file that describes the services, networks, volumes, and other resources of the stack. To use docker stack to run a Compose file on a Swarm, the user must first create and initialize a Swarm cluster, which is a group of machines (nodes) that are running the Docker Engine and are joined into a single entity. The Swarm cluster has one or more managers, which are responsible for maintaining the cluster state and orchestrating the services, and one or more workers, which are the nodes that run the services.
When the user runs docker stack deploy with a Compose file, the command parses the file and creates the services as specified. However, docker stack does not build or upload the images referenced in the Compose file to any registry. Instead, it instructs the Swarm nodes to pull the images from a registry, which can be the public Docker Hub or a private registry. The user must ensure that the images are available in the registry before deploying the stack, otherwise the deployment will fail. The user can use docker build and docker push commands to create and upload the images to the registry, or use an automated build service such as Docker Hub or GitHub Actions. The user must also make sure that the image names and tags in the Compose file match the ones in the registry, and that the Swarm nodes have access to the registry if it is private. By pulling the images from a registry, docker stack ensures that the Swarm nodes have the same and latest version of the images, and that the images are distributed across the cluster in an efficient way.
The other options are not correct. Docker stack does not build the images locally or on the Swarm nodes, nor does it copy or transfer the images to the Swarm nodes. Docker stack also does not pass the images to the Swarm master, as this would create a bottleneck and a single point of failure. Docker stack relies on the registry as the source of truth for the images, and delegates the image pulling to the Swarm nodes. References:
* Deploy a stack to a swarm | Docker Docs1
* docker stack deploy | Docker Docs2
* docker build | Docker Docs3
* docker push | Docker Docs4
NEW QUESTION # 71
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