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| Section | Objectives |
|---|---|
| Container Orchestration | - Container lifecycle and scheduling
|
| Cloud Native Architecture | - Microservices and distributed systems
|
| Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Cloud Native Observability | - Monitoring and logging
|
| Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
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NEW QUESTION # 132
How can you extend the Kubernetes API?
Answer: D
Explanation:
A is correct: Kubernetes' API can be extended by adding CustomResourceDefinitions (CRDs) and/or by implementing the API Aggregation Layer. These are the two canonical extension mechanisms.
CRDs let you define new resource types (new kinds) that the Kubernetes API server stores in etcd and serves like native objects. You typically pair a CRD with a controller/operator that watches those custom objects and reconciles real resources accordingly. This pattern is foundational to the Kubernetes ecosystem (many popular add-ons install CRDs).
The aggregation layer allows you to add entire API services (aggregated API servers) that serve additional endpoints under the Kubernetes API. This is used when you want custom API behavior, custom storage, or specialized semantics beyond what CRDs provide (or when implementing APIs like metrics APIs historically).
Why the other answers are wrong:
* B is not how API extension works. You don't "extend the API" by inventing new versions like v4beta3; versions are defined and implemented by API servers/controllers, not by users arbitrarily.
* C is fictional; there is no standard kubectl extend api command.
* D is also incorrect; kubelet parameters configure node agent behavior, not API server types and discovery.
So, the verified ways to extend Kubernetes' API surface are CRDs and API aggregation, which is option A.
=========
NEW QUESTION # 133
Can a Kubernetes Service expose multiple ports?
Answer: C
NEW QUESTION # 134
A site reliability engineer needs to temporarily prevent new Pods from being scheduled on node-
2, while keeping the existing workloads running without disruption. Which kubectl command should be used?
Answer: C
Explanation:
The kubectl cordon command marks the node as unschedulable, preventing new Pods from being placed on it while allowing all existing Pods to continue running without interruption.
NEW QUESTION # 135
Which of the following is a responsibility of the governance board of an open source project?
Answer: D
NEW QUESTION # 136
You have a Kubernetes cluster with a deployment of a stateless application. Explain how you would ensure high availability for the application even if a node fails. What are some essential configurations to implement for this purpose?
Answer: C,D
Explanation:
To achieve high availability for a stateless application in a Kubernetes cluster, you need to implement the following configurations: Configure the deployment with a high number of replicas: This ensures that multiple instances of the application are running concurrently, and if one node fails, the others can take over the load. The number of replicas should be sufficient to accommodate the expected traffic and handle potential node failures. Use a load balancer to distribute traffic: A load balancer acts as a central point for incoming traffic and distributes it across the different instances of the application. This provides a single point of access and load balancing capabilities. By using a load balancer, you ensure that traffic is directed to healthy instances, even if some nodes are unavailable. Configure a pod disruption budget (PDB): A PDB is a Kubernetes resource that prevents a large number of pods from being deleted simultaneousl . This is im ortant for ensurin that thea lication remains available even if a node is undergoing maintenance or fails. By configuring a PDB, you specify a minimum number of pods that must be running for the deployment, preventing sudden disruptions due to node failures or updates. These configurations work together to ensure high availability for the application, even in the face of node failures. Note that using persistent volumes is not strictly necessary for high availability in a stateless application. Stateless applications do not store data persistently, so data loss on a single node does not affect the application's availability.
NEW QUESTION # 137
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