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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Application Delivery | 8% | - Deployment Strategies
|
| Topic 2: Cloud Native Observability | 8% | - Monitoring & Metrics
|
| Topic 3: Cloud Native Architecture | 16% | - Ecosystem & Landscape
|
| Topic 4: Container Orchestration | 22% | - Security & Troubleshooting
|
| Topic 5: Kubernetes Fundamentals | 46% | - Containerization Basics
|
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NEW QUESTION # 221
You have a Kubernetes cluster with multiple applications deployed. Each application is instrumented to emit logs, metrics, and traces. You want to use a single dashboard to visualize the performance of all applications in a unified view. What are the possible approaches to achieve this?
Answer: A,B,C,D,E
Explanation:
All of the provided options can contribute to achieving a unified dashboard for visualizing the performance of multiple applications. Each option has its strengths and weaknesses: A: Use Prometheus to aggregate metrics from all applications and create a single dashboard. Prometheus is a powerful tool for collecting and aggregating metrics. You can use Prometheus's query language to fetch data from multiple applications and create a centralized dashboard in Grafana or a custom application. B: Use Grafana to create a single dashboard that queries data from Prometheus and Jaeger. Grafana is a popular dashboarding tool that can visualize data from multiple sources. It can query metrics from Prometheus and tracing data from Jaeger to create a unified view. C: Use Loki for log aggregation and create a single dashboard in Grafana to visualize logs, metrics, and traces. Loki is a log aggregation system that can collect logs from various sources, including Kubernetes. By integrating Loki with Grafana, you can visualize logs, metrics, and traces on a single dashboard. D: Use a custom application to collect and aggregate data from Prometheus, Jaeger, and Loki, and then visualize the data on a custom dashboard. You can build a custom application to collect data from Prometheus, Jaeger, and Loki and then create a custom dashboard using a framework like React or Vue.js. This allows you to have full control over the data aggregation and visualization process. E: Configure Kubernetes to forward logs, metrics, and traces to a centralized observability platform like CloudWatch or Stackdriver. Cloud-based observability platforms like Amazon CloudWatch or Google Stackdriver provide a centralized platform for collecting, aggregating, and visualizing data from multiple applications. These platforms often have pre- built dashboards and alerting capabilities, making it easy to monitor and analyze data from different applications in a unified view. The best approach depends on your specific needs, resources, and preferred tools. You can choose a combination of these options to meet your requirements.
NEW QUESTION # 222
What service account does a Pod use in a given namespace when the service account is not specified?
Answer: A
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.
=========
NEW QUESTION # 223
Which option represents best practices when building container images?
Answer: B
Explanation:
Using multi-stage builds reduces image size, pinning the base image to a specific digest ensures reproducibility and supply chain security, and installing only necessary packages minimizes the attack surface and resource usage.
NEW QUESTION # 224
You are using ArgoCD to manage your Kubernetes cluster with GitOps. How can you configure ArgoCD to automatically update the cluster when a new image tag is pushed to a container registry?
Answer: D
Explanation:
ArgoCD can be configured to use webhooks, which are HTTP callbacks triggered by events like image pushes to container registries. This allows ArgoCD to automatically update the cluster whenever a new image tag is pushed, ensuring your deployments are always using the latest image versions.
NEW QUESTION # 225
What is the primary purpose of a Horizontal Pod Autoscaler (HPA) in Kubernetes?
Answer: D
NEW QUESTION # 226
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