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| Section | Objectives |
|---|---|
| Topic 1: Cloud Native Application Delivery | - CI/CD and deployment strategies
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| Topic 2: Container Orchestration | - Container lifecycle and scheduling
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| Topic 3: Cloud Native Observability | - Monitoring and logging
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| Topic 4: Kubernetes Fundamentals | - Core Kubernetes concepts
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| Topic 5: Cloud Native Architecture | - Microservices and distributed systems
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| Topic 6: Cloud Security and Governance | - Security fundamentals in cloud native systems
|
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NEW QUESTION # 91
Which statement about Secrets is correct?
Answer: B
Explanation:
The correct answer is C. By default, Kubernetes Secrets store their data as base64-encoded values in the API (backed by etcd). Base64 is an encoding mechanism, not encryption, so this does not provide confidentiality. Unless you explicitly configure encryption at rest for etcd (via the API server encryption provider configuration) and secure access controls, Secret contents should be treated as potentially readable by anyone with sufficient API access or access to etcd backups.
Option A is misleading: a Secret is its own Kubernetes resource (kind: Secret). While Pods can reference Secrets (as environment variables or mounted volumes), the Secret itself is not "part of the Pod spec" as an embedded object. Option B is incorrect because Kubernetes does not automatically encrypt Secret data with a cluster private key by default; encryption at rest is optional and must be enabled. Option D is incorrect because Secrets can store a range of sensitive or semi-sensitive data (tokens, certs, passwords), but Kubernetes does not enforce "only confidential data" semantics; it's a storage mechanism with size and format constraints.
Operationally, best practices include: enabling encryption at rest, limiting access via RBAC, avoiding broad "list/get secrets" permissions, using dedicated service accounts, auditing access, and considering external secrets managers (Vault, cloud KMS-backed solutions) for higher assurance. Also, don't confuse "Secret" with "secure by default." The default protection is mainly about avoiding accidental plaintext exposure in manifests, not about cryptographic security.
So the only correct statement in the options is C.
NEW QUESTION # 92
Which kubectl command is useful for collecting information about any type of resource that is active in a Kubernetes cluster?
Answer: C
Explanation:
The correct answer is A (describe), used as kubectl describe <resource> <name>. kubectl describe is a troubleshooting-focused command that provides a rich, human-readable view of a specific live object in the cluster, including key fields, status, and-crucially-Events related to that object. This makes it extremely useful for "collecting information" about almost any active resource: Pods, Deployments, Nodes, Services, PersistentVolumeClaims, and more.
kubectl get (not listed) is typically used for listing objects and their summary fields, but kubectl describe goes deeper: for a Pod it will show container images, resource requests/limits, probes, mounted volumes, node assignment, IPs, conditions, and recent scheduling/pulling/starting events. For a Node it shows capacity
/allocatable resources, labels/taints, conditions, and node events. Those event details often explain why something is Pending, failing to pull images, failing readiness checks, or being evicted.
Option B ("list") is not a standard kubectl subcommand for retrieving resource information (you would use get for listing). Option C (expose) is for creating a Service to expose a resource (like a Deployment). Option D (explain) is for viewing API schema/field documentation (e.g., kubectl explain deployment.spec.replicas) and does not report what is currently happening in the cluster.
So, for gathering detailed live diagnostics about a resource in the cluster, the best kubectl command is kubectl describe, which corresponds to option A.
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NEW QUESTION # 93
You are running a multi-cluster Kubernetes environment with Istio deployed. You want to enable mutual TLS authentication between services across different clusters. You have already configured Istio's 'mutualTLS' setting in the control plane. What additional step is required to enforce this security measure for inter-cluster communication?
Answer: D
Explanation:
While configuring 'mutualTLS' in the Istio control plane enables the security feature, you need to explicitly enable it for individual services by applying the 'istio.io/auth' annotation with 'peerAuthentication: mutualTLS: { mode. STRICT Y to each service. This ensures that services in both clusters will only communicate with each other over encrypted channels- Options B, C, D, and E are not directly related to enforcing mutual TLS authentication for inter-cluster communication.
NEW QUESTION # 94
Which of the following cloud native proxies is used for ingress/egress in a service mesh and can also serve as an application gateway?
Answer: B
Explanation:
Envoy Proxy is a high-performance, cloud-native proxy widely used for ingress and egress traffic management in service mesh architectures, and it can also function as an application gateway. It is the foundational data-plane component for popular service meshes such as Istio, Consul, and AWS App Mesh, making option C the correct answer.
In a service mesh, Envoy is typically deployed as a sidecar proxy alongside each application Pod. This allows Envoy to transparently intercept and manage all inbound and outbound traffic for the service. Through this model, Envoy enables advanced traffic management features such as load balancing, retries, timeouts, circuit breaking, mutual TLS, and fine-grained observability without requiring application code changes.
Envoy is also commonly used at the mesh boundary to handle ingress and egress traffic. When deployed as an ingress gateway, Envoy acts as the entry point for external traffic into the mesh, performing TLS termination, routing, authentication, and policy enforcement. As an egress gateway, it controls outbound traffic from the mesh to external services, enabling security controls and traffic visibility. These capabilities allow Envoy to serve effectively as an application gateway, not just an internal proxy.
Option A, "Frontend proxy," is a generic term and not a specific cloud-native component. Option B, kube- proxy, is responsible for implementing Kubernetes Service networking rules at the node level and does not provide service mesh features or gateway functionality. Option D, "Reverse proxy," is a general architectural pattern rather than a specific cloud-native proxy implementation.
Envoy's extensibility, performance, and deep integration with Kubernetes and service mesh control planes make it the industry-standard proxy for modern cloud-native networking. Its ability to function both as a sidecar proxy and as a centralized ingress or egress gateway clearly establishes Envoy proxy as the correct and verified answer.
NEW QUESTION # 95
What is a Kubernetes Service Endpoint?
Answer: A
Explanation:
A Kubernetes Service routes traffic to a dynamic set of backends (usually Pods). The set of backend IPs and ports is represented by endpoint-tracking resources. Historically this was the Endpoints object; today Kubernetes commonly uses EndpointSlice for scalability, but the concept remains the same: endpoints represent the concrete network destinations behind a Service. That's why D is correct: a Service endpoint is an object that contains the IP addresses (and ports) of the individual Pods (or other backends) associated with that Service.
When a Service has a selector, Kubernetes automatically maintains endpoints by watching which Pods match the selector and are Ready, then publishing those Pod IPs into Endpoints/EndpointSlices. Consumers don't usually use endpoints directly; instead they call the Service DNS name, and kube-proxy (or an alternate dataplane) forwards traffic to one of the endpoints. Still, endpoints are critical because they are what make Service routing accurate and up to date during scaling events, rolling updates, and failures.
Option A confuses this with the Kubernetes API server endpoint (the cluster API URL). Option B is incorrect; there's no special "Service Endpoint Pod." Option C describes an external/public IP concept, which may exist for LoadBalancer Services, but "Service endpoint" in Kubernetes vocabulary is about the backend destinations, not the public entrypoint.
Operationally, endpoints are useful for debugging: if a Service isn't routing traffic, checking Endpoints/EndpointSlices shows whether the Service actually has backends and whether readiness is excluding Pods. This ties directly into Kubernetes service discovery and load balancing: the Service is the stable front door; endpoints are the actual backends.
NEW QUESTION # 96
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