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| Section | Objectives |
|---|---|
| Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Container Orchestration | - Container lifecycle and scheduling
|
| Cloud Native Observability | - Monitoring and logging
|
| Cloud Native Architecture | - Microservices and distributed systems
|
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NEW QUESTION # 150
Which persona is normally responsible for defining, testing, and running an incident management process?
Answer: B
Explanation:
The role most commonly responsible for defining, testing, and running an incident management process is Site Reliability Engineers (SREs), so A is correct. SRE is an operational engineering discipline focused on ensuring reliability, availability, and performance of services in production. Incident management is a core part of that mission: when outages or severe degradations occur, someone must coordinate response, restore service quickly, and then drive follow-up improvements to prevent recurrence.
In cloud native environments (including Kubernetes), incident response involves both technical and process elements. On the technical side, SREs ensure observability is in place-metrics, logs, traces, dashboards, and actionable alerts-so incidents can be detected and diagnosed quickly. They also validate operational readiness: runbooks, escalation paths, on-call rotations, and post-incident review practices. On the process side, SREs often establish severity classifications, response roles (incident commander, communications lead, subject matter experts), and "game day" exercises or simulated incidents to test preparedness.
Project managers may help coordinate schedules and communication for projects, but they are not typically the owners of operational incident response mechanics. Application developers are crucial participants during incidents, especially for debugging application-level failures, but they are not usually the primary maintainers of the incident management framework. Quality engineers focus on testing and quality assurance, and while they contribute to preventing defects, they are not usually the owners of real-time incident operations.
In Kubernetes specifically, incidents often span multiple layers: workload behavior, cluster resources, networking, storage, and platform dependencies. SREs are positioned to manage the cross-cutting operational view and to continuously improve reliability through error budgets, SLOs/SLIs, and iterative hardening. That' s why the correct persona is Site Reliability Engineers.
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NEW QUESTION # 151
Which component in Kubernetes is responsible to watch newly created Pods with no assigned node, and selects a node for them to run on?
Answer: D
Explanation:
The correct answer is D: kube-scheduler. The kube-scheduler is the control plane component responsible for assigning Pods to nodes. It watches for newly created Pods that do not have a spec.nodeName set (i.e., unscheduled Pods). For each such Pod, it evaluates the available nodes against scheduling constraints and chooses the best node, then performs a "bind" operation by setting the Pod's spec.nodeName.
Scheduling decisions consider many factors: resource requests vs node allocatable capacity, taints/tolerations, node selectors and affinity/anti-affinity, topology spread constraints, and other policy inputs. The scheduler typically runs a two-phase process: filtering (find feasible nodes) and scoring (rank feasible nodes) before selecting one.
Option A (etcd) is the datastore that persists cluster state; it does not make scheduling decisions. Option B (kube-controller-manager) runs controllers (Deployment, Node, Job controllers, etc.) but not scheduling. Option C (kube-proxy) is a node component for Service networking; it doesn't place Pods.
Understanding this separation is key for troubleshooting. If Pods are stuck Pending with "no nodes available," the scheduler's feasibility checks are failing (insufficient CPU/memory, taints not tolerated, affinity mismatch). If Pods schedule but land unexpectedly, it's often due to scoring preferences or missing constraints. In all cases, the component that performs the node selection is the kube-scheduler.
Therefore, the verified correct answer is D.
NEW QUESTION # 152
What are the 3 pillars of Observability?
Answer: B
Explanation:
The three pillars of observability are metrics, logs, and traces, which collectively provide comprehensive insight into system performance and behavior.
NEW QUESTION # 153
Which Kubernetes resource provides standardized load balancing, TLS termination, and multi- context traffic routing across different implementations?
Answer: A
Explanation:
The Gateway API defines a standardized, extensible model for traffic management that includes load balancing, TLS termination, and advanced routing across different implementations, improving consistency compared to earlier approaches.
NEW QUESTION # 154
Your Kubernetes cluster has a limited number of nodes, and you need to efficiently utilize those resources. You are deploying a highly scalable web application with multiple pods. What Kubernetes concept can help you optimize resource allocation and ensure pods are scheduled across all available nodes?
Answer: A,B,C,E
Explanation:
These concepts help you optimize resource allocatiom 1 - NodeSelector Allows you to specify labels on nodes and match those labels in your pod definitions, ensuring pods are scheduled on nodes with desired characteristics. 2. PodAntiAffnity: Prevents pods from being scheduled on the same node or even within the same zone, promoting distribution across nodes. 3- Tolerations: Allow pods to tolerate taints applied to nodes. Taints are used to mark nodes as unsuitable for certain pods unless those pods have the corresponding tolerances. 4. Taints: Mark nodes with specific characteristics, preventing pods from scheduling on those nodes unless they have tolerations for those taints. ResourceQuota restricts resources at a namespace level, but not node-level scheduling.
NEW QUESTION # 155
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