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Workloads And Scheduling For Cka
Released 3/2026
By Antonio Jesús Piedra
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 9m 3s | Size: 200 MB​
The Workloads and Scheduling section accounts for 15% of your Certified Kubernetes Administrator (CKA) exam.
What you'll learn
The Workloads and Scheduling section accounts for 15% of
your Certified Kubernetes Administrator (CKA) exam. In this course, Workloads and Scheduling for CKA, you'll discover a comprehensive, objective-driven pathway to mastering application deployment lifecycles and advanced resource management. First, you'll explore how to perform rolling update and rollbacks. Next, you'll learn how to use ConfigMaps and Secrets to configure applications. Finally, you'll dive into Resource Requests/Limits (QoS Classes), Taints/Tolerations, and Horizontal Pod Autoscaler (HPA). By the end, you'll
confidently configure self-healing and scalable Kubernetes
workloads to satisfy CKA objectives.


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Workloads and Scheduling for CKA
Released 3/2026
By Antonio Jesús Piedra
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 9m 3s | Size: 200 MB​

The Workloads and Scheduling section accounts for 15% of your Certified Kubernetes Administrator (CKA) exam.

What you'll learn
The Workloads and Scheduling section accounts for 15% of
your Certified Kubernetes Administrator (CKA) exam. In this course, Workloads and Scheduling for CKA, you'll discover a comprehensive, objective-driven pathway to mastering application deployment lifecycles and advanced resource management. First, you'll explore how to perform rolling update and rollbacks. Next, you'll learn how to use ConfigMaps and Secrets to configure applications. Finally, you'll dive into Resource Requests/Limits (QoS Classes), Taints/Tolerations, and Horizontal Pod Autoscaler (HPA). By the end, you'll
confidently configure self-healing and scalable Kubernetes
workloads to satisfy CKA objectives.

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