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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Application Delivery | 8% | - Deployment Strategies
|
| Container Orchestration | 22% | - Security
|
| Kubernetes Fundamentals | 46% | - Kubernetes Resources
|
| Cloud Native Architecture | 16% | - Cloud Native Landscape
|
| Cloud Native Observability | 8% | - Tracing
|
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NEW QUESTION # 17
You are migrating a monolithic application to a microservices architecture on Kubernetes. You choose to use Istio to manage the communication between these new services. Which of the following is NOT a benefit of adopting Istio in this scenario?
Answer: D
Explanation:
While Istio provides benefits like centralized traffic management, security, and observability for microservices, it doesn't automatically simplify the process of migrating existing monolithic code. The migration itself requires careful refactoring and architectural changes, which Istio complements but doesn't replace. Options B, C, D, and E are all valid benefits of using Istio for microservices.
NEW QUESTION # 18
Which of the following sentences is true about container runtimes in Kubernetes?
Answer: C
Explanation:
A Kubernetes node must have a container runtime to run Pods, so D is correct. Kubernetes schedules Pods to nodes, but the actual execution of containers is performed by a runtime such as containerd or CRI-O. The kubelet communicates with that runtime via the Container Runtime Interface (CRI) to pull images, create sandboxes, and start/stop containers. Without a runtime, the node cannot launch container processes, so Pods cannot transition into running state.
Options A and B confuse networking kernel settings with runtime requirements. iptables bridged traffic visibility and IPv4 forwarding can be relevant for node networking, but they do not replace the need for a container runtime. Networking and container execution are separate layers: you need networking for connectivity, and you need a runtime for running containers.
Option C is also incorrect and muddled. Container runtimes are not deprecated; rather, Kubernetes removed the built-in Docker shim integration from kubelet in favor of CRI-native runtimes. CRI is an interface, not "something you install instead of a runtime." In practice you install a CRI-compatible runtime (containerd/CRI-O), which implements CRI endpoints that kubelet talks to.
Operationally, the runtime choice affects node behavior: image management, logging integration, performance characteristics, and compatibility. Kubernetes installation guides explicitly list installing a container runtime as a prerequisite for worker nodes. If a cluster has nodes without a properly configured runtime, workloads scheduled there will fail to start (often stuck in ContainerCreating/ImagePullBackOff/Runtime errors).
Therefore, the only fully correct statement is D: each node needs a container runtime to run Pods.
NEW QUESTION # 19
In Kubernetes, if the API version of feature is v2beta3, it means that:
Answer: C
Explanation:
The correct answer is B. In Kubernetes API versioning, the stability level is encoded in the version string: alpha, beta, and stable (v1). A version like v2beta3 indicates the API is in a beta stage. Beta APIs are more mature than alpha, but they are not fully guaranteed stable in perpetuity the way v1 stable APIs are intended to be. The key implication is that while beta APIs are generally usable, they can still undergo incompatible changes in future releases as the API design evolves.
Option B captures that meaning: a beta API may change in ways that break compatibility. This is why teams should treat beta APIs with some caution in production: verify upgrade plans, monitor deprecation notices, and be prepared to adjust manifests or client code when moving between Kubernetes versions.
Why the other options are incorrect:
A implies permanence across all future releases in a major version, which is not a beta guarantee. Kubernetes has deprecation and graduation processes, but beta does not equal "forever." C overstates safety; beta is typically "tested and enabled by default" for some features, but it's not the same as stable API guarantees.
D is too vague and misaligned. While any software may contain bugs, the defining point of "beta API" is about stability/compatibility guarantees, not merely "bugs." In practice, Kubernetes communicates API lifecycle clearly: alpha is experimental and may be disabled by default; beta is feature-complete-ish but may change; stable v1 is strongly compatibility-focused with formal deprecation policies. So, a v2beta3 API signals: usable, but not fully locked-hence B.
NEW QUESTION # 20
How many different Kubernetes service types can you define?
Answer: A
Explanation:
Kubernetes defines four primary Service types, which is why C (4) is correct. The commonly recognized Service spec.type values are:
* ClusterIP: The default type. Exposes the Service on an internal virtual IP reachable only within the cluster. This supports typical east-west traffic between workloads.
* NodePort: Exposes the Service on a static port on each node. Traffic to <NodeIP>:<NodePort> is forwarded to the Service endpoints. This is often used for simple external access in environments without load balancers, or as a building block for other systems.
* LoadBalancer: Integrates with a cloud provider (or load balancer implementation) to provision an external load balancer and route traffic to the Service. This is common in managed Kubernetes.
* ExternalName: Maps the Service name to an external DNS name via a CNAME record, allowing in- cluster clients to use a consistent Service DNS name to reach an external dependency.
Some people also talk about "Headless Services," but headless is not a separate type; it's a behavior achieved by setting clusterIP: None. Headless Services still use the Service API object but change DNS and virtual-IP behavior to return endpoint IPs directly rather than a ClusterIP. That's why the canonical count of "Service types" is four.
This question tests understanding of the Service abstraction: Service type controls how a stable service identity is exposed (internal VIP, node port, external LB, or DNS alias), while selectors/endpoints control where traffic goes (the backend Pods). Different environments will favor different types: ClusterIP for internal microservices, LoadBalancer for external exposure in cloud, NodePort for bare-metal or simple access, ExternalName for bridging to outside services.
Therefore, the verified answer is C (4).
=========
NEW QUESTION # 21
Which component of the node is responsible to run workloads?
Answer: C
NEW QUESTION # 22
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