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| Section | Objectives |
|---|---|
| Topic 1: Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Topic 2: Cloud Native Observability | - Monitoring and logging
|
| Topic 3: Cloud Native Architecture | - Microservices and distributed systems
|
| Topic 4: Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Topic 5: Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Topic 6: Container Orchestration | - Container lifecycle and scheduling
|
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NEW QUESTION # 173
You are running a containerized application that requires access to a specific host-mounted directory. Which of the following is the most appropriate Kubernetes mechanism to achieve this?
Answer: A
Explanation:
The *VolumeMountS section within a Pod definition allows you to map host directories or persistent volumes into your container. This provides a secure and controlled way to access files from the host machine within your container. HostPort, Service Account, Pod Security Policy, and ConfigMap are all different Kubernetes concepts and do not directly address the need for host directory access.
NEW QUESTION # 174
What is the difference between a Deployment and a ReplicaSet?
Answer: A
NEW QUESTION # 175
Which of the following is not a stop on the cloud native trailmap?
Answer: A
Explanation:
https://github.com/cncf/landscape#trail-map
NEW QUESTION # 176
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 # 177
Which type of Service requires manual creation of Endpoints?
Answer: A
Explanation:
A Kubernetes Service without selectors requires you to manage its backend endpoints manually, so B is correct. Normally, a Service uses a selector to match a set of Pods (by labels). Kubernetes then automatically maintains the backend list (historically Endpoints, now commonly EndpointSlice) by tracking which Pods match the selector and are Ready. This automation is one of the key reasons Services provide stable connectivity to dynamic Pods.
When you create a Service without a selector, Kubernetes has no way to know which Pods (or external IPs) should receive traffic. In that pattern, you explicitly create an Endpoints object (or EndpointSlices, depending on your approach and controller support) that maps the Service name to one or more IP:port tuples. This is commonly used to represent external services (e.g., a database running outside the cluster) while still providing a stable Kubernetes Service DNS name for in-cluster clients. Another use case is advanced migration scenarios where endpoints are controlled by custom controllers rather than label selection.
Why the other options are wrong: Service types like ClusterIP, NodePort, and LoadBalancer describe how a Service is exposed, but they do not inherently require manual endpoint management. A ClusterIP Service with selectors (D) is the standard case where endpoints are automatically created and updated. NodePort and LoadBalancer Services also typically use selectors and therefore inherit automatic endpoint management; the difference is in how traffic enters the cluster, not how backends are discovered.
Operationally, when using Services without selectors, you must ensure endpoint IPs remain correct, health is accounted for (often via external tooling), and you update endpoints when backends change. The key concept is: no selector → Kubernetes can't auto-populate endpoints → you must provide them.
NEW QUESTION # 178
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