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| Section | Objectives |
|---|---|
| Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Cloud Native Observability | - Monitoring and logging
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Cloud Native Architecture | - Microservices and distributed systems
|
| Container Orchestration | - Container lifecycle and scheduling
|
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NEW QUESTION # 23
Which of these commands is used to retrieve the documentation and field definitions for a Kubernetes resource?
Answer: B
Explanation:
kubectl explain is the command that shows documentation and field definitions for Kubernetes resource schemas, so A is correct. Kubernetes resources have a structured schema: top-level fields like apiVersion, kind, and metadata, and resource-specific structures like spec and status. kubectl explain lets you explore these structures directly from your cluster's API discovery information, including field types, descriptions, and nested fields.
For example, kubectl explain deployment describes the Deployment resource, and kubectl explain deployment.spec dives into the spec structure. You can continue deeper, such as kubectl explain deployment.spec.template.spec.containers to discover container fields. This is especially useful when writing or troubleshooting manifests, because it reduces guesswork and prevents invalid YAML fields that would be rejected by the API server. It also helps when APIs evolve: you can confirm which fields exist in your cluster's current version and what they mean.
The other commands do different things. kubectl api-resources lists resource types and their shortnames, whether they are namespaced, and supported verbs-useful discovery, but not detailed field definitions. kubectl get --help shows CLI usage help for kubectl get, not the Kubernetes object schema. kubectl show is not a standard kubectl subcommand.
From a Kubernetes "declarative configuration" perspective, correct manifests are critical: controllers reconcile desired state from spec, and subtle field mistakes can change runtime behavior. kubectl explain is a built-in way to learn the schema and write manifests that align with the Kubernetes API's expectations. That's why it's commonly recommended in Kubernetes documentation and troubleshooting workflows.
NEW QUESTION # 24
Which of the following observability data streams would be most useful when desiring to plot resource consumption and predicted future resource exhaustion?
Answer: A
Explanation:
Metrics provide quantitative data about resource consumption over time, making them ideal for plotting usage trends and predicting future resource exhaustion.
NEW QUESTION # 25
Which of the following are not the metrics for Site Reliability Engineering?
Answer: D
Explanation:
SLI defined quantitative measure of some aspect of the level of service that is provided.
SLOs are key to making data-driven decisions about reliability, they're at the core of SRE practic-es.
SLAs an explicit or implicit contract with your users that includes consequences of meeting (or missing) the SLOs they contain.
NEW QUESTION # 26
What do Deployments and StatefulSets have in common?
Answer: C
Explanation:
Both Deployments and StatefulSets are Kubernetes workload controllers that manage a set of Pods created from a Pod template, meaning they manage Pods based on an identical container specification (a shared Pod template). That is why A is correct. In both cases, you declare a desired state (replicas, container images, environment variables, volumes, probes, etc.) in spec.template, and the controller ensures the cluster converges toward that state by creating, updating, or replacing Pods.
The differences are what make the other options incorrect. OnDelete update strategy is associated with StatefulSets (it's one of their update strategies), but it is not a shared, defining behavior across both controllers, so B is not "in common." Ordered, graceful deployment and scaling is a hallmark of StatefulSets (ordered pod creation/termination and stable identities) rather than Deployments, so C is not shared. Sticky identity per Pod (stable network identity and stable storage identity per replica, commonly via StatefulSet + headless Service) is specifically a StatefulSet characteristic, not a Deployment feature, so D is not common.
A useful way to think about it is: both controllers manage replicas of a Pod template, but they differ in semantics. Deployments are designed primarily for stateless workloads and typically focus on rolling updates and scalable replicas where any instance is interchangeable. StatefulSets are designed for stateful workloads and add identity and ordering guarantees: each replica gets a stable name (like db-0, db-1) and often stable PersistentVolumeClaims.
So the shared commonality the question is testing is the basic workload-controller pattern: both controllers manage Pods created from a common template (identical container spec). Therefore, A is the verified answer.
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NEW QUESTION # 27
You are running a Kubernetes cluster with three nodes. One node experiences a hardware failure. Which of the following Kubernetes features ensures that your application remains available and running?
Answer: A
Explanation:
Kubernetes' self-healing capabilities ensure that your application remains available even when a node fails. It automatically detects and restarts failed Pods on healthy nodes, maintaining the desired number of replicas.
NEW QUESTION # 28
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