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SolarWinds Observability-Self-Hosted-Fundamentals Exam Syllabus Topics:

TopicDetails
Topic 1
  • SolarWinds Platform Architecture and Deployment: This domain covers the SolarWinds Platform's structural components, deployment requirements for installation, and network discovery capabilities for identifying and adding devices to the monitoring environment.
Topic 2
  • Reports: This domain focuses on creating, scheduling, and managing reports that provide insights into network performance, availability, and metrics for documentation and analysis.
Topic 3
  • Alerts: This domain covers creating and managing alerts that notify administrators of important events, threshold breaches, or conditions requiring attention across monitored infrastructure.
Topic 4
  • Node Management: This domain focuses on managing monitored nodes including handling node statuses and working with agents for monitoring and data collection from endpoints.

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SolarWinds Observability Self-Hosted Fundamentals Sample Questions (Q73-Q78):

NEW QUESTION # 73
A network discovery job was performed. The job was not correctly defined and not all devices were discovered within the network. What is the likely reason for the skipped devices?

Answer: C

Explanation:
Network Discovery is an automated process to scan subnets and import new infrastructure. However, the discovery engine includes logic to prevent duplicate entries and ignore non-relevant assets. According to the SolarWinds Platform Administrator Guide, if specific devices are missing from the results, the most common administrative cause is theDiscovery Ignore List.
The "Ignore List" is a database of IP addresses or MAC addresses that the platform has been explicitly told to skip. This often happens if a device was previously discovered but the administrator chose "Ignore this node" during the import phase. The system remembers this choice to prevent the device from reappearing in every subsequent scan. Additionally, the platform automatically ignores any node that isalready presentin the
"Manage Nodes" list to avoid creating redundant monitoring objects.
While a timeout (Option C) or incorrect polling method (Option D) could cause a node to fail to respond with its full metadata, the device would typically still appear in the discovery results as a "Generic" or "ICMP- only" device rather than being skipped entirely. Only theIgnore Listor pre-existing status causes a device to be excluded from the discovery results table during a scan of a valid subnet.


NEW QUESTION # 74
Which two of the following metrics are supported within Hybrid Cloud Observability (HCO) anomaly-based alerting? (Choose two.)

Answer: C,D

Explanation:
Anomaly-Based Alertingin HCO is currently focused on high-cardinality performance metrics that exhibit clear cyclical patterns (daily or weekly cycles). According to theSolarWinds Platform Alerting Guide, the machine learning engine is optimized for metrics where "normal" behavior varies significantly based on time of day.
The two primary supported metrics for this feature are:
* Average CPU Load (A): CPU utilization is highly variable; a server might be idle at night but busy during business hours. Anomaly detection learns these patterns to prevent false positives during scheduled peak times.
* Percent Packet Loss (D): Network stability is a critical indicator of environmental health. By establishing a baseline for packet loss, the system can distinguish between a minor, expected "blip" in a high-traffic environment and a true anomaly that indicates a failing circuit or network congestion.
While metrics like "Disk Space Usage" (Option B) are critical, they are generally "linear" or "incremental" rather than cyclical; a disk filling up is a trend that is usually better handled by standard predictive or static threshold alerts. Similarly, while interface utilization is important, the initial release of anomaly-based features prioritizedNode-levelperformance metrics like CPU and Packet Loss to provide the most immediate value for identifying server and core network health deviations.


NEW QUESTION # 75
A performance issue on a network is being troubleshooted and needs customization of metrics and entities to be viewed during troubleshooting. Which tool combination / no combination would allow this to happen?

Answer: D

Explanation:
The SolarWinds Platform provides distinct tools for visualizing different aspects of environmental health and performance.AppStackis primarily an entity-relationship mapping tool. According to theSolarWinds SAM Administrator Guide, "The AppStack Environment view provides a powerful layer of troubleshooting visibility by exposing all participating objects in your environment, as well as their relationships to one another". It allows administrators to customize whichentities(nodes, applications, volumes, etc.) are visible and how they are grouped to show dependencies.
Conversely,PerfStack(Performance Analysis) is the engine used for metric correlation. As stated in the SolarWinds Platform Administrator Guide, PerfStack allows users to "drag and drop performance metrics from multiple entities onto a single chart to correlate data over time". While AppStack excels at showingwhat is connected, PerfStack excels at showinghowspecific metrics (CPU, Latency, IOPS) across those connected entities interact. Therefore, a combination is required where AppStack handles theentitiesand PerfStack handles themetrics. Specifically, you use AppStack to identify the scope of entities involved in a performance bottleneck and then transition those entities into a PerfStack project to perform a deep-dive analysis of the metrics. This modular approach ensures that troubleshooting is both contextually aware (via AppStack) and data-driven (via PerfStack).


NEW QUESTION # 76
CPU utilization is being monitored on a critical Windows server and is set to notify when utilization exceeds
90%. Notification parameters are set to disregard those brief spikes over 90% and focus on sustained periods above 90%. What should be configured to accomplish the notification goal?

Answer: A

Explanation:
To prevent "alert noise" caused by temporary performance spikes, the SolarWinds Platform allows for threshold persistence. According to theSolarWinds Platform Administrator Guide, simply setting a threshold at 90% would trigger an alert the moment a single poll returns a high value.
The correct configuration to ensure onlysustainedhigh utilization triggers an action is toset the node to change CPU status if the threshold is met for multiple polling cycles. This is found in the "Edit Node" properties under the Thresholds section. For example, if the polling interval is 2 minutes and you set the condition to "10 minutes" (or 5 consecutive polls), the CPU status will only transition to Warning or Critical after the utilization has stayed above 90% for that entire duration. This filtering happens at the node/status level, ensuring that the alert engine only fires when there is a legitimate, sustained performance bottleneck rather than a transient spike caused by a routine background process.


NEW QUESTION # 77
How are devices within a network that does not respond to SNMP or WMI, discovered and imported for monitoring?

Answer: D

Explanation:
Network Discovery in the SolarWinds Platform is designed to identify as much infrastructure as possible, even if that infrastructure is "locked down." According to theSolarWinds Platform Administrator Guide, the discovery wizard follows a specific hierarchy of identification.
If a device hasSNMPorWMIdisabled (often the case for security-hardened servers, basic switches, or simple IP-enabled appliances), the platform cannot gather deep performance metrics like CPU or memory. However, the device can still be discovered and monitored for "Up/Down" availability using a simple Ping (ICMP). To ensure these devices are added to the database during a scan, the administrator must check the box to " Include devices that only respond to ICMP" during the discovery configuration. If this is not selected, the discovery engine will skip any IP address that does not provide a valid SNMP or WMI credential response, potentially leaving gaps in the network inventory. This is the standard method for monitoring "Ping-only" nodes.


NEW QUESTION # 78
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