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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Observability | 8% | - Monitoring & Metrics
|
| Cloud Native Application Delivery | 8% | - Delivery Models
|
| Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Container Orchestration | 22% | - Security & Troubleshooting
|
| Kubernetes Fundamentals | 46% | - Scheduling and Administration
|
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NEW QUESTION # 94
What service account does a Pod use in a given namespace when the service account is not specified?
Answer: D
Explanation:
D (default) is correct. In Kubernetes, if you create a Pod (or a controller creates Pods) without specifying spec.serviceAccountName, Kubernetes assigns the Pod the default ServiceAccount in that namespace. The ServiceAccount determines what identity the Pod uses when accessing the Kubernetes API (for example, via the in-cluster token mounted into the Pod, when token automounting is enabled).
Every namespace typically has a default ServiceAccount created automatically. The permissions associated with that ServiceAccount are determined by RBAC bindings. In many clusters, the default ServiceAccount has minimal permissions (or none) as a security best practice, because leaving it overly privileged would allow any Pod to access sensitive cluster APIs.
Why the other options are wrong: Kubernetes does not automatically choose "admin," "sysadmin," or "root" service accounts. Those are not standard implicit identities, and automatically granting admin privileges would be insecure. Instead, Kubernetes follows a predictable, least-privilege-friendly default: use the namespace's default ServiceAccount unless you explicitly request a different one.
Operationally, this matters for security and troubleshooting. If an application in a Pod is failing with
"forbidden" errors when calling the API, it often means it's using the default ServiceAccount without the necessary RBAC permissions. The correct fix is usually to create a dedicated ServiceAccount and bind only the required roles, then set serviceAccountName in the Pod template. Conversely, if you're hardening a cluster, you often disable automounting of service account tokens for Pods that don't need API access.
Therefore, the verified correct answer is D: default.
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NEW QUESTION # 95
What are the most important resources to guarantee the performance of an etcd cluster?
Answer: D
Explanation:
etcd is the strongly consistent key-value store backing Kubernetes cluster state. Its performance directly affects the entire control plane because most API operations require reads/writes to etcd. The most critical resources for etcd performance are disk I/O (especially latency) and network throughput/latency between etcd members and API servers-so B is correct.
etcd is write-ahead-log (WAL) based and relies heavily on stable, low-latency storage. Slow disks increase commit latency, which slows down object updates, watches, and controller loops. In busy clusters, poor disk performance can cause request backlogs and timeouts, showing up as slow kubectl operations and delayed controller reconciliation. That's why production guidance commonly emphasizes fast SSD-backed storage and careful monitoring of fsync latency.
Network performance matters because etcd uses the Raft consensus protocol. Writes must be replicated to a quorum of members, and leader-follower communication is continuous. High network latency or low throughput can slow replication and increase the time to commit writes. Unreliable networking can also cause leader elections or cluster instability, further degrading performance and availability.
CPU and memory are still relevant, but they are usually not the first bottleneck compared to disk and network.
CPU affects request processing and encryption overhead if enabled, while memory affects caching and compaction behavior. Disk "capacity" alone (size) is less relevant than disk I/O characteristics (latency, IOPS), because etcd performance is sensitive to fsync and write latency.
In Kubernetes operations, ensuring etcd health includes: using dedicated fast disks, keeping network stable, enabling regular compaction/defragmentation strategies where appropriate, sizing correctly (typically odd- numbered members for quorum), and monitoring key metrics (commit latency, fsync duration, leader changes). Because etcd is the persistence layer of the API, disk I/O and network quality are the primary determinants of control-plane responsiveness-hence B.
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NEW QUESTION # 96
Which of the following characteristics is associated with container orchestration?
Answer: B
Explanation:
A core capability of container orchestration is dynamic scheduling, so B is correct. Orchestration platforms (like Kubernetes) are responsible for deciding where containers (packaged as Pods in Kubernetes) should run, based on real-time cluster conditions and declared requirements. "Dynamic" means the system makes placement decisions continuously as workloads are created, updated, or fail, and as cluster capacity changes.
In Kubernetes, the scheduler evaluates Pods that have no assigned node, filters nodes that don't meet requirements (resources, taints/tolerations, affinity/anti-affinity, topology constraints), and then scores remaining nodes to pick the best target. This scheduling happens at runtime and adapts to the current state of the cluster. If nodes go down or Pods crash, controllers create replacements and the scheduler places them again-another aspect of dynamic orchestration.
The other options don't define container orchestration: "application message distribution" is more about messaging systems or service communication patterns, not orchestration. "Deploying application JAR files" is a packaging/deployment detail relevant to Java apps but not a defining orchestration capability. "Virtual machine distribution" refers to VM management rather than container orchestration; Kubernetes focuses on containers and Pods (even if those containers sometimes run in lightweight VMs via sandbox runtimes).
So, the defining trait here is that an orchestrator automatically and continuously schedules and reschedules workloads, rather than relying on static placement decisions.
NEW QUESTION # 97
Which of the following is not the part of Kubernetes Control Plane?
Answer: A
Explanation:
https://kubernetes.io/docs/concepts/overview/components/
NEW QUESTION # 98
Which of the following is NOT a valid Kubernetes resource type?
Answer: D
Explanation:
Kubernetes manages containers and their orchestration. While it can interact with databases, Database' is not a native Kubernetes resource type. The other options (Pod, Deployment, Service, Ingress) are all core Kubernetes resources.
NEW QUESTION # 99
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