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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 Architecture | - Microservices and distributed systems
|
| Cloud Native Observability | - Monitoring and logging
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Container Orchestration | - Container lifecycle and scheduling
|
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NEW QUESTION # 301
You are using Flux to manage your Kubernetes cluster with GitOps. You need to ensure that all deployments are automatically rolled back to the previous version if they fail. Which configuration option in Flux would you use to achieve this?
Answer: D
Explanation:
The •rollbackConfig• option in Flux allows you to define rollback strategies for deployments. Setting 'failed: true' ensures that if a deployment fails, it will be automatically rolled back to the previous working version, minimizing downtime and ensuring stability.
NEW QUESTION # 302
What is the primary purpose of an Ingress resource in Kubernetes?
Answer: B
Explanation:
An Ingress resource defines rules for routing external HTTP/HTTPS traffic into the cluster, allowing internal Services to be accessed from outside through a single entry point.
NEW QUESTION # 303
What is the Kubernetes object used for running a recurring workload?
Answer: B
Explanation:
A recurring workload in Kubernetes is implemented with a CronJob, so the correct choice is D. A CronJob is a controller that creates Jobs on a schedule defined in standard cron format (minute, hour, day of month, month, day of week). This makes CronJobs ideal for periodic tasks like backups, report generation, log rotation, and cleanup tasks.
A Job (option A) is run-to-completion but is typically a one-time execution; it ensures that a specified number of Pods successfully terminate. You can use a Job repeatedly, but something else must create it each time-CronJob is that built-in scheduler. Option B ("Batch") is not a standard workload resource type (batch is an API group, not the object name used here). Option C (DaemonSet) ensures one Pod runs on every node (or selected nodes), which is not "recurring," it's "always present per node." CronJobs include operational controls that matter in real clusters. For example, concurrencyPolicy controls what happens if a scheduled run overlaps with a previous run (Allow, Forbid, Replace).
startingDeadlineSeconds can handle missed schedules (e.g., if the controller was down). History limits (successfulJobsHistoryLimit, failedJobsHistoryLimit) help manage cleanup and troubleshooting. Each scheduled execution results in a Job with its own Pods, which can be inspected with kubectl get jobs and kubectl logs.
So the correct Kubernetes object for a recurring workload is CronJob (D): it provides native scheduling and creates Jobs automatically according to the defined cadence.
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NEW QUESTION # 304
Which Prometheus metric represents a single value that can go up and down?
Answer: D
Explanation:
In Prometheus, a Gauge is the metric type used to represent a value that can increase and decrease over time, so B is correct. Gauges are suited for "current state" measurements such as current memory usage, number of active sessions, queue depth, temperature, or CPU usage-anything that can move up and down as the system changes.
This contrasts with a Counter (A), which is monotonically increasing (it only goes up, except when a process restarts and the counter resets to zero). Counters are ideal for totals like total HTTP requests served, total errors, or bytes sent, and you typically use rate()/irate() in PromQL to convert counters into per-second rates.
A Summary (C) and Histogram (D) are used for distributions, commonly request latency. Histograms record observations into buckets and can produce percentiles using functions like histogram_quantile(). Summaries compute quantiles on the client side and expose them directly, along with counts and sums. Neither of these is the simplest "single value that goes up and down" type.
In Kubernetes observability, Prometheus is often used to scrape metrics from cluster components (API server, kubelet) and applications. Choosing the right metric type matters operationally: use gauges for instantaneous measurements, counters for event totals, and histograms/summaries for latency distributions. That's why Prometheus documentation and best practices emphasize understanding metric semantics-because misusing types leads to incorrect alerts and dashboards.
So for a single numeric value that can go up and down, the correct metric type is Gauge, option B.
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NEW QUESTION # 305
You are running a web application with a high demand for CPU resources. Which Kubernetes scheduling strategy could help you ensure pods are scheduled on nodes with the most available CPU capacity?
Answer: D
Explanation:
Node affinity allows you to define preferences for where pods should be scheduled based on node labels. You can use node affinity to prioritize scheduling on nodes with high CPU capacity. While the other options can influence scheduling, they are not directly focused on CPU availability.
NEW QUESTION # 306
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