What is the role of orchestration in on-demand provisioning?

Providing a manual interface for resource creation

Replacing the need for cloud providers

Coordinating multiple automated tasks to provision and manage resources as a cohesive workflow

A company runs a containerized web application on Azure Kubernetes Service (AKS) that experiences predictable daily traffic spikes during business hours and low traffic at night. The operations team wants to minimize cost while ensuring the application scales out before the spike begins and scales in after it ends. The cluster has a node pool that supports cluster autoscaling. Which approach should the team use?

Set the HPA to scale to the maximum replica count at all times and rely on cluster autoscaling to adjust node count.

Create a scheduled HPA that increases the replica count to the expected peak before business hours and decreases it after hours, with cluster autoscaling enabled.

Use a CronJob to manually resize the node pool every hour based on the current time of day.

Configure a Horizontal Pod Autoscaler (HPA) with a target CPU utilization of 50% and enable cluster autoscaling on the node pool.

What is the primary benefit of using automation in on-demand provisioning?

Reducing the time and manual effort required to deploy resources

Removing the need for security controls

Eliminating the need for monitoring

What is the primary purpose of an auto-scaling policy in a cloud environment?

To manually control resource allocation through a management console

To automatically adjust the number of resources based on demand

To permanently increase the capacity of all resources

To reduce the need for monitoring application performance

Which compliance factor is most likely to influence where on-demand resources are provisioned?

Data residency requirements that mandate data be stored in specific geographic regions

The application's user interface language

The cloud provider's stock price

The number of developers on the team

F5Certified Solution Expert, Cloud

Domain 2Objective 9

2.09 Evaluate Variables Relevant to the Design of On-Demand Provisioning of Application Services 402 Practice Questions (Page 3)

Part of the Section 2 : CLOUD INFRASTRUCTURE DESIGN domain, which makes up ~27% of our current practice bank. F5 does not publish an official question count, but from its 105-minute exam (~40–70 total, ~11–19 in this domain), expect 1–2 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

8concepts

Questions 11–15

11foundation · easy
What is the role of orchestration in on-demand provisioning?
Select an answer first
12application · medium
A company runs a containerized web application on Azure Kubernetes Service (AKS) that experiences predictable daily traffic spikes during business hours and low traffic at night. The operations team wants to minimize cost while ensuring the application scales out before the spike begins and scales in after it ends. The cluster has a node pool that supports cluster autoscaling. Which approach should the team use?
Select an answer first
13foundation · easy
What is the primary benefit of using automation in on-demand provisioning?
Select an answer first
14foundation · easy
What is the primary purpose of an auto-scaling policy in a cloud environment?
Select an answer first
15foundation · easy
Which compliance factor is most likely to influence where on-demand resources are provisioned?
Select an answer first

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