Differentiate Between VMs and Containers to Select the Appropriate Compute Model VCAP-VCF-VKS Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A SaaS provider runs a batch processing pipeline that processes 10,000 short-lived jobs per hour. Each job is a stateless Python script that runs for 30–60 seconds and requires a specific Python version and a set of pip packages. The team wants to maximize the number of concurrent jobs per physical host while keeping startup latency under 2 seconds. Which approach best meets these requirements?

   • AUse a single long-running VM and execute all jobs sequentially in separate Python processes.
   • BRun each job as a separate process directly on the host OS using virtualenvs.
   • CBuild a container image with the Python runtime and run each job as a container on a shared host.
   • DCreate a golden VM template with Python pre-installed and clone a new VM for each job.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   How does the resource overhead of containers typically compare to that of VMs?

   • AContainers have lower overhead because they do not run a separate guest OS for each instance.
   • BContainers have higher overhead because each container runs a full guest OS.
   • CContainers have higher overhead because they include a hypervisor layer.
   • DContainers and VMs have identical overhead because both virtualize hardware.
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   Which statement accurately compares the startup time of containers and VMs?

   • AVMs typically start faster than containers because they do not require a hypervisor.
   • BContainers typically start in seconds because they only launch a process, while VMs take longer because they boot a full operating system.
   • CContainers and VMs have similar startup times because both require a full OS boot.
   • DVMs start faster because they use a lightweight kernel, while containers use a heavy hypervisor.
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   A development team wants to provide each developer with a consistent environment for a Python web application. The environment includes specific system libraries, a database, and a message queue. The team wants to avoid the overhead of running a full OS per developer and wants to share the same environment definition across laptops and CI servers. Which approach is most appropriate?

   • ACreate a VM template with all dependencies and have each developer clone it.
   • BCreate a shell script that installs all dependencies on each developer's machine.
   • CCreate a Docker Compose file that defines the application, database, and message queue as containers.
   • DUse a configuration management tool to provision a VM for each developer.
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   Which statement best describes the deployment of containers compared to VMs?

   • AVMs are deployed by copying a single file, while containers require a complex installation process.
   • BVMs can be deployed faster than containers because they do not require a hypervisor.
   • CContainers can be deployed quickly and consistently across environments because they use immutable images that include the application and its dependencies.
   • DContainers require a separate deployment process for each environment because they are not portable.
   Reveal Solution Discussion Select an answer first