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| Section | Objectives |
|---|---|
| Topic 1: Cloud Native Architecture | - Microservices and distributed systems
|
| Topic 2: Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Topic 3: Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Topic 4: Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Topic 5: Container Orchestration | - Container lifecycle and scheduling
|
| Topic 6: Cloud Native Observability | - Monitoring and logging
|
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NEW QUESTION # 99
Which of the following is a stable GatewayAPI resource?
Answer: D
Explanation:
HTTPRoute is a stable Gateway API resource used to define how HTTP and HTTPS requests are matched and routed through a Gateway to backend Kubernetes Services.
NEW QUESTION # 100
Which of the following will view the snapshot of previously terminated ruby container logs from Pod web-1?
Answer: B
Explanation:
To view logs from the previously terminated instance of a container, you use kubectl logs -p. To select a specific container in a multi-container Pod, you use -c <containerName>. Combining both gives the correct command for "previous logs from the ruby container in Pod web-1," which is option A: kubectl logs -p -c ruby web-1.
The -p (or --previous) flag instructs kubectl to fetch logs for the prior container instance. This is most useful when the container has restarted due to a crash (CrashLoopBackOff) or was terminated and restarted. Without
-p, kubectl logs shows logs for the currently running container instance (or the most recent if it's completed, depending on state).
Option B is close but wrong for the question: it selects the ruby container (-c ruby) but does not request the previous instance snapshot, so it returns current logs, not the prior-terminated logs. Option C is missing the -c container selector and is also malformed: kubectl logs -p expects the Pod name (and optionally container); ruby is not a flag positionally correct here. Option D has argument order incorrect and mixes Pod and container names in the wrong places.
Operationally, this is a common Kubernetes troubleshooting workflow: if a container restarts quickly, current logs may be short or empty, and the actionable crash output is in the previous instance logs. Using kubectl logs -p often reveals stack traces, fatal errors, or misconfiguration messages. In multi-container Pods, always pair -p with -c to ensure you're looking at the right container.
Therefore, the verified correct answer is A.
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NEW QUESTION # 101
Which group of container runtimes provides additional sandboxed isolation and elevated security?
Answer: C
NEW QUESTION # 102
What Linux namespace is shared by default by containers running within a Kubernetes Pod?
Answer: C
Explanation:
By default, containers in the same Kubernetes Pod share the network namespace, which means they share the same IP address and port space. Therefore, the correct answer is B (Network).
This shared network namespace is a key part of the Pod abstraction. Because all containers in a Pod share networking, they can communicate with each other over localhost and coordinate tightly, which is the basis for patterns like sidecars (service mesh proxies, log shippers, config reloaders). It also means containers must coordinate port usage: if two containers try to bind the same port on 0.0.0.0, they'll conflict because they share the same port namespace.
Option A ("Host Network") is different: hostNetwork: true is an optional Pod setting that puts the Pod into the node's network namespace, not the Pod's shared namespace. It is not the default and is generally used sparingly due to security and port-collision risks. Option C ("Process ID") is not shared by default in Kubernetes; PID namespace sharing requires explicitly enabling process namespace sharing (e.g., shareProcessNamespace: true). Option D ("Process Name") is not a Linux namespace concept.
The Pod model also commonly implies shared storage volumes (if defined) and shared IPC namespace in some configurations, but the universally shared-by-default namespace across containers in the same Pod is the network namespace. This default behavior is why Kubernetes documentation explains a Pod as a "logical host" for one or more containers: the containers are co-located and share certain namespaces as if they ran on the same host.
So, the correct, verified answer is B: containers in the same Pod share the Network namespace by default.
=========
NEW QUESTION # 103
What does "Continuous Integration" mean?
Answer: B
Explanation:
The correct answer is B: Continuous Integration (CI) is the practice of frequently integrating code changes from multiple contributors and validating them through automated builds and tests. The "continuous" part is about doing this often (ideally many times per day) and consistently, so integration problems are detected early instead of piling up until a painful merge or release window.
Automation is essential. CI typically includes steps like compiling/building artifacts, running unit and integration tests, executing linters, checking formatting, scanning dependencies for vulnerabilities, and producing build reports. This automation creates fast feedback loops that help developers catch regressions quickly and maintain a releasable main branch.
Option A is incorrect because manual integration/testing does not scale and undermines the reliability and speed that CI is meant to provide. Option C confuses CI with deployment promotion across environments (which is more aligned with Continuous Delivery/Deployment). Option D is unrelated: adding tools can support CI, but it isn't the definition.
In cloud-native application delivery, CI is tightly coupled with containerization and Kubernetes: CI pipelines often build container images from source, run tests, scan images, sign artifacts, and push to registries. Those validated artifacts then flow into CD processes that deploy to Kubernetes using manifests, Helm, or GitOps controllers. Without CI, Kubernetes rollouts become riskier because you lack consistent validation of what you're deploying.
So, CI is best defined as automated integration and testing of code changes from multiple sources, which matches option B.
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NEW QUESTION # 104
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