Diagnose cardinality problems: identify which label creates unbounded series and remove or aggregate it. Explain that labels define time series identity, and that alerts should target symptoms. The single most important thing: never put unique or unbounded values in labels.
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Domain overview
Observability Concepts is the foundational PCA domain covering metrics, logs, and traces, the Prometheus data model, and why cardinality matters. Questions are scenario-based: you diagnose memory spikes from unbounded labels, explain label purpose, and reason about alerting philosophy and monitoring goals rather than recalling configuration syntax.
Exam objectives
Prometheus label semantics: labels as key-value dimensions creating time series, not metadata fields
High-cardinality causes in Kubernetes: unique IDs, pod names, container IDs, or per-request labels
Monitoring philosophy: alert on symptoms and user impact, not every possible cause
How metric, log, and trace signals differ in cost, retention, and query patterns
Treating labels as free metadata; each unique label value creates a new time series and memory cost.
Alerting on every internal cause metric instead of user-visible symptoms, producing noisy unactionable pages.
Assuming logs and traces scale like metrics; high-volume signals need sampling and retention limits.
Click any question to see the full explanation and answer options, or start a focused practice session above.
You are deploying Prometheus in a cluster with highly dynamic ephemeral pods. Which concern is the most significant regarding cardinality?
2You notice that your Prometheus instance memory usage is growing linearly despite constant traffic. What is the most likely cause?
3In the context of the Four Golden Signals, what does 'Saturation' measure?
4A legacy batch job runs once per day and finishes in seconds. Why is a standard Prometheus pull model inadequate here?
5A system is experiencing high latency. You need to identify if the latency is caused by external dependencies. Which of the Four Golden Signals is most relevant for this discovery?
6What is the primary drawback of using the Pushgateway for long-running services?
7An SRE team is transitioning from traditional logs to metrics for performance monitoring. Which scenario best justifies using metrics over logs?
8What is the primary difference between a metric and a log?
9Which golden signal would you monitor to detect if a specific API endpoint is returning 404s?
10When configuring Service Discovery in Kubernetes, why might you use relabeling?
11Why are traces considered distinct from metrics in observability?
12Which monitoring philosophy is core to the Prometheus architecture?
13What is the primary benefit of using a pull-based model for monitoring?
14You are seeing 'Too many active series' in your Prometheus logs. Which action should be your first priority to address this?
15A developer adds a 'user_id' label to an HTTP request counter. What is the operational risk?
16Which of these is considered a 'counter' in Prometheus?
17What is the purpose of a Gauge metric?
18When designing a monitoring strategy, why should you avoid monitoring 'everything'?
19What is the primary role of the 'Alertmanager'?
20Why might you use an 'exporter' in Prometheus?
21Which metric type would best capture the distribution of request latencies?
22Why does the 'rate()' function in PromQL behave unexpectedly on counter resets?
23What is the purpose of 'labels' in Prometheus?
24A dashboard shows a latency spike that doesn't correlate with CPU usage. What should you investigate next?
25What is 'Monitoring Philosophy' regarding alerts?
26Which tool would you pair with Prometheus to visualize the collected data?
27Which component is responsible for executing queries written in PromQL?
28Which of the following describes the 'pull' model's benefit regarding service discovery?
29You need to measure the P99 latency of your service. Which PromQL function do you use on a Histogram?
30What is the primary function of the 'scrape_timeout' configuration?
31How does the 'stale marker' work in Prometheus?
32If you have a metric `http_requests_total` and want the increase over 5 minutes, what is the best PromQL syntax?
33What is the primary goal of observability?
34Why are 'logs' essential for debugging, even with perfect metrics?
35When evaluating the 'Traffic' golden signal, what is the best metric to watch for a web service?
36Which of these is NOT a Golden Signal?
37What is the benefit of the 'service discovery' feature in Prometheus?
38Which THREE items are standard techniques to reduce metric cardinality?
39Which TWO of these are potential side effects of high-cardinality metrics?
40Which THREE of these represent the Four Golden Signals?
41Which TWO of the following are primary components of the Prometheus monitoring architecture?
42Which TWO of the following are examples of metric data?
43Which TWO of these are true about the 'Pull' model?
44Which THREE features are provided by Grafana when used with Prometheus?
45Which TWO are common causes of high-cardinality in Kubernetes environments?
46Which TWO are common types of Prometheus exporters?
47Which THREE are true regarding the Prometheus TSDB?
48Which TWO are true about the 'Summary' metric type?
49Which THREE of these are common Prometheus data sources?
50Which TWO are true about Prometheus alerting rules?
51Which THREE of these are recommended practices for an observability strategy?
52A team is transitioning from a traditional logging system to a metrics-based monitoring approach. Which category of observability data should the team prioritize to specifically identify the 'Latency' golden signal?
53You are designing a monitoring architecture for an ephemeral, auto-scaling microservices environment. Why is the Prometheus 'pull' model generally preferred over a 'push' model in this scenario?
54Your team is defining Service Level Objectives (SLOs) for a web application. Which metric is most indicative of the 'Traffic' golden signal?
55Which THREE of the following are considered part of the 'Four Golden Signals' of monitoring?
56You are monitoring a legacy batch processing job that runs for only 30 seconds once every 24 hours. Which Prometheus component is necessary to collect these metrics?
57An application is emitting logs that contain '5xx' status codes when a service is unavailable. If you want to create an alert that triggers based on the rate of these errors, what is the best practice for observability?
58A developer asks why they should use Distributed Traces instead of simply using high-cardinality metrics to debug a slow request. What is the primary advantage of traces?
59Which TWO statements accurately describe the differences between logs and metrics?
60An engineer observes a massive spike in Prometheus memory usage after introducing a new custom label that includes a unique user ID. Which observability concept is being violated?
61Which THREE factors contribute to a 'high cardinality' problem in a Prometheus environment?
Diagnose cardinality problems: identify which label creates unbounded series and remove or aggregate it. Explain that labels define time series identity, and that alerts should target symptoms. The single most important thing: never put unique or unbounded values in labels.
The Courseiva PCA question bank contains 61 questions in the Observability Concepts domain. Click any question to see the full explanation and answer breakdown.
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