
F5Certified Solution Expert, Cloud
Domain 1Objective 1
1.01 Compare and Contrast the Various Cloud Business Models and Technologies 402 Practice Questions (Page 1)
Part of the Section 1 : FOUNDATIONAL CLOUD CONCEPTS domain, which makes up ~17% of our current practice bank. F5 does not publish an official question count, but from its 105-minute exam (~40–70 total, ~7–12 in this domain), expect 2–3 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)
21questions here
5free pages
4concepts
Questions 1–5
- 1
A multinational corporation is required by law to keep customer data within the European Union. They are considering a hybrid cloud deployment where the private cloud is hosted in an EU data center, and the public cloud portion is used for analytics. To comply with the data residency requirement, what is the most important consideration?
Select an answer first - 2
A company runs a containerized application on a Kubernetes cluster. They are evaluating whether to use spot instances for the worker nodes to reduce costs. The application is fault-tolerant and can handle interruptions. However, the company also has a service level agreement (SLA) that requires 99.9% uptime. What is the primary trade-off they must consider?
Select an answer first - 3
A cloud administrator needs to run multiple isolated applications on a single physical server, each with its own operating system. Which technology is designed to accomplish this by abstracting the underlying hardware?
Select an answer first - 4
A company signs a contract with a cloud provider to pay a fixed monthly fee for a set number of virtual machines and a defined amount of storage. This fee remains the same regardless of whether the resources are fully used. Which cloud business model does this describe?
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A healthcare organization must process patient data that is subject to strict data-residency regulations. They are considering a hybrid cloud model to handle variable workloads. The organization wants to ensure that patient data never leaves the country, but they also need to burst compute capacity during peak times. Which approach best satisfies both constraints?
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