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[Hardware] Obtained The PCA Exam Simulator Means Passing The Prometheus Certified Associate

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【Hardware】 Obtained The PCA Exam Simulator Means Passing The Prometheus Certified Associate

Posted at yesterday 15:32      View：18 | Replies：0        Print      Only Author   [Copy Link] 1#
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Linux Foundation Prometheus Certified Associate Exam Sample Questions (Q23-Q28):NEW QUESTION # 23
What is considered the best practice when working with alerting notifications?
  • A. Make sure to generate alerts on every metric of every component of the stack.
  • B. Have as few alerts as possible by alerting only when symptoms might become externally visible.
  • C. Have as many alerts as possible to catch minor problems before they become outages.
  • D. Minor alerts are as important as major alerts and should be treated with equal care.
Answer: B
Explanation:
The Prometheus alerting philosophy emphasizes signal over noise - meaning alerts should focus only on actionable and user-impacting issues. The best practice is to alert on symptoms that indicate potential or actual user-visible problems, not on every internal metric anomaly.
This approach reduces alert fatigue, avoids desensitizing operators, and ensures high-priority alerts get the attention they deserve. For example, alerting on "service unavailable" or "latency exceeding SLO" is more effective than alerting on "CPU above 80%" or "disk usage increasing," which may not directly affect users.
Option B correctly reflects this principle: keep alerts meaningful, few, and symptom-based. The other options contradict core best practices by promoting excessive or equal-weight alerting, which can overwhelm operations teams.
Reference:
Verified from Prometheus documentation - Alerting Best Practices, Alertmanager Design Philosophy, and Prometheus Monitoring and Reliability Engineering Principles.

NEW QUESTION # 24
Which exporter would be best suited for basic HTTP probing?
  • A. Blackbox exporter
  • B. Apache exporter
  • C. SNMP exporter
  • D. JMX exporter
Answer: A
Explanation:
The Blackbox Exporter is the Prometheus component designed specifically for probing endpoints over various network protocols, including HTTP, HTTPS, TCP, ICMP, and DNS. It acts as a generic probe service, allowing Prometheus to test endpoints' availability, latency, and correctness without requiring instrumentation in the target application itself.
For basic HTTP probing, the Blackbox Exporter performs HTTP GET or POST requests to defined URLs and exposes metrics like probe success, latency, response code, and SSL certificate validity. This makes it ideal for uptime and availability monitoring.
By contrast, the JMX exporter is used for collecting metrics from Java applications, the Apache exporter for Apache HTTP Server metrics, and the SNMP exporter for network devices. Thus, only the Blackbox Exporter serves the purpose of HTTP probing.
Reference:
Verified from Prometheus documentation - Blackbox Exporter Overview and Exporter Usage Guidelines.

NEW QUESTION # 25
What is an example of a single-target exporter?
  • A. Blackbox Exporter
  • B. Node Exporter
  • C. SNMP Exporter
  • D. Redis Exporter
Answer: D
Explanation:
A single-target exporter in Prometheus is designed to expose metrics for a specific service instance rather than multiple dynamic endpoints. The Redis Exporter is a prime example - it connects to one Redis server instance and exports its metrics (like memory usage, keyspace hits, or command statistics) to Prometheus.
By contrast, exporters like the SNMP Exporter and Blackbox Exporter can probe multiple targets dynamically, making them multi-target exporters. The Node Exporter, while often deployed per host, is considered a host-level exporter, not a true single-target one in configuration behavior.
The Redis Exporter is instrumented specifically for a single Redis endpoint per configuration, aligning it with Prometheus's single-target exporter definition. This design simplifies monitoring and avoids dynamic reconfiguration.
Reference:
Verified from Prometheus documentation and official exporter guidelines - Writing Exporters, Exporter Types, and Redis Exporter Overview sections.

NEW QUESTION # 26
What is the difference between client libraries and exporters?
  • A. Exporters expose metrics for scraping. Client libraries push metrics via Remote Write.
  • B. Exporters run next to the services to monitor, and use client libraries internally.
  • C. Exporters and client libraries mean the same thing.
  • D. Exporters are written in Go. Client libraries are written in many languages.
Answer: B
Explanation:
The fundamental difference between Prometheus client libraries and exporters lies in how and where they are used.
Client libraries are integrated directly into the application's codebase. They allow developers to instrument their own code to define and expose custom metrics. Prometheus provides official client libraries for multiple languages, including Go, Java, Python, and Ruby.
Exporters, on the other hand, are standalone processes that run alongside the applications or systems they monitor. They use client libraries internally to collect and expose metrics from software that cannot be instrumented directly (e.g., operating systems, databases, or third-party services). Examples include the Node Exporter (for system metrics) and MySQL Exporter (for database metrics).
Thus, exporters are typically used for external systems, while client libraries are used for self-instrumented applications.
Reference:
Verified from Prometheus documentation - Writing Exporters, Client Libraries Overview, and Best Practices for Exporters and Instrumentation.

NEW QUESTION # 27
Which PromQL expression computes how many requests in total are currently in-flight for the following time series data?
apiserver_current_inflight_requests{instance="1"} 5
apiserver_current_inflight_requests{instance="2"} 7
  • A. max(apiserver_current_inflight_requests)
  • B. sum_over_time(apiserver_current_inflight_requests[10m])
  • C. min(apiserver_current_inflight_requests)
  • D. sum(apiserver_current_inflight_requests)
Answer: D
Explanation:
In Prometheus, when you have multiple time series that represent the same type of measurement across different instances, the sum() aggregation operator is used to compute their total value.
Here, each instance (1 and 2) exposes the metric apiserver_current_inflight_requests, indicating the number of active API requests currently being processed.
To find the total number of in-flight requests across all instances, the correct expression is:
sum(apiserver_current_inflight_requests)
This returns 5 + 7 = 12.
min() would return the lowest value (5).
max() would return the highest value (7).
sum_over_time() calculates the cumulative sum over a range vector, not the current value, so it's incorrect here.
Reference:
Verified from Prometheus documentation - Aggregation Operators and Summing Across Dimensions sections.

NEW QUESTION # 28
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