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SolarWinds Observability-Self-Hosted-Fundamentals Exam Overview:

Certification Vendor:SolarWinds
Exam Name:SolarWinds Observability Self-Hosted Fundamentals
Exam Number:SWO-301
Available Languages:English
Exam Price:$195 USD
Passing Score:70%
Exam Duration:90 minutes
Real Exam Qty:60
Exam Format:Multiple Choice, Drag and Drop, Multiple Select
Certificate Validity Period:2 years
Related Certifications:SolarWinds Certified Professional (SCP)
Sample Questions:SolarWinds Observability-Self-Hosted-Fundamentals Sample Questions
Exam Way:Online proctored exam
Pre Condition:Basic knowledge of IT infrastructure monitoring and networking concepts is recommended. Completion of SolarWinds free training courses is suggested.
Official Syllabus URL:https://www.solarwinds.com/services/education

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

TopicDetails
Topic 1
  • Node Management: This domain focuses on managing monitored nodes including handling node statuses and working with agents for monitoring and data collection from endpoints.
Topic 2
  • SolarWinds Platform Troubleshooting Tools: This domain covers troubleshooting tools including AppStack and PerfStack for correlating performance data, and Intelligent Mapping for visualizing network topology to identify and resolve issues.
Topic 3
  • Reports: This domain focuses on creating, scheduling, and managing reports that provide insights into network performance, availability, and metrics for documentation and analysis.
Topic 4
  • Alerts: This domain covers creating and managing alerts that notify administrators of important events, threshold breaches, or conditions requiring attention across monitored infrastructure.
Topic 5
  • Customization and User Experience: This domain addresses platform customization through dashboards and views, managing user accounts and permissions, implementing custom properties, and organizing resources using groups.

SolarWinds Observability Self-Hosted Fundamentals Sample Questions (Q50-Q55):

NEW QUESTION # 50
An alert has been created to email when AppInsight for SQL detects a database fragmentation that exceeds
30%. The issue is not considered resolved unless the fragmentation is below 10%. How would the reset conditions be configured for this alert?

Answer: A

Explanation:
In advanced alerting scenarios, particularly with performance metrics like disk fragmentation or temperature, the "Trigger Condition" and "Reset Condition" often require different thresholds to prevent "flapping"-a state where an alert rapidly toggles between triggered and reset states because the metric is hovering right at the threshold line. According to theSolarWinds Platform Alerting Guide, while the default behavior is to reset when trigger conditions are no longer true (Option D), this would reset the alert as soon as fragmentation hit
29.9%.
To satisfy the specific requirement where the issue is only "resolved" at 10%, a customReset Conditionmust be defined. By selecting "set reset condition to reset when condition is below a set percent," the administrator can explicitly define a separate value ($10\%$) from the trigger value ($30\%$). This creates a
"deadband" or hysteresis effect, ensuring the alert remains active and visible until the database maintenance has successfully reduced the fragmentation to the desired healthy level. This configuration is essential for AppInsight applications where returning to a "not-critical" state (e.g., 29%) does not necessarily mean the underlying performance bottleneck has been sufficiently remediated.


NEW QUESTION # 51
Which benefit does Anomaly-Based Alerting add to the Hybrid Cloud Observability (HCO) alerting engine?

Answer: C

Explanation:
Anomaly-Based Alertingrepresents a shift from static thresholds to behavioral analysis in the HCO platform.
According to theSolarWinds HCO Alerting Enginedocumentation, this feature uses machine learning to establish a "baseline" for specific metrics like CPU load or memory usage over a period of 7 to 30 days.
The primary benefit is that itanalyzes entity behaviorand triggers an alert only when a metric deviates significantly from its historical "normal" for that specific day and time. For example, if a server traditionally runs at 90% CPU during a Sunday night backup, a static 80% threshold alert would trigger a "false positive" every week. Anomaly-based alerting learns this behavior and will only fire an alert if the CPU hits 90% on a Tuesday morning when the normal load is only 20%.
This reduces alert noise by focusing ontrue anomaliesrather than simple threshold violations. It does not
"remove the requirement for trigger conditions" (Options B and C); instead, it replaces a static numerical threshold with a dynamic, machine-learned threshold. The administrator still defineswhichentities to monitor andhowsensitive the anomaly detection should be.


NEW QUESTION # 52
Which two of the following actions can be configured for alerts? (Choose two.)

Answer: B,C

Explanation:
The SolarWinds Alerting Engine provides a wide array of "Trigger Actions" that occur automatically when an alert's conditions are met. According to theSolarWinds Platform Alerting Guide, these actions are designed to either notify a human operator or perform an automated remediation step.
* Send an e-mail (D): This is the most common alert action. It allows the system to send formatted notifications (including variables for node name, IP, and status) to individuals, distribution lists, or ticketing systems like ServiceNow or SolarWinds Service Desk.
* Execute a script (B): This is the primary tool for automated "self-healing." An alert can be configured to run a local batch file, a PowerShell script, or a VBScript on the SolarWinds server. For example, if a
"Service Down" alert triggers, the system can automatically execute a script to attempt to restart that service on the remote node before a human technician even sees the alert.
Options A and C are incorrect because they are not "actions" triggered by the alerting engine.Adding widgets to views(Option A) is a manual customization task performed by an administrator in the web console. While you canschedulea report to be sent via email, the alerting engine itself does notgenerate a report(Option C) as a reactive trigger action to a node failure; reports are intended for historical analysis rather than immediate event response.


NEW QUESTION # 53
Which two of the following metrics are supported within Hybrid Cloud Observability (HCO) anomaly-based alerting? (Choose two.)

Answer: A,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 # 54
Which function is provided by Platform Connect?

Answer: C

Explanation:
Platform Connectis a foundational technology in Hybrid Cloud Observability (HCO) that bridges the gap between the on-premises (self-hosted) installation and SolarWinds' cloud-based AIOps and machine learning services. According to theSolarWinds HCO Administrator Guide, the primary function enabled by this connection isanomaly-based alerting.
Anomaly detection requires significant computational resources to process months of historical performance data and build sophisticated behavioral baselines for thousands of metrics. To prevent this heavy processing from impacting the performance of the local monitoring server, SolarWinds offloads the analysis to a cloud- based machine learning engine.Platform Connectprovides the secure, encrypted tunnel required to transmit relevant performance metadata to the cloud for analysis and receive dynamic threshold updates in return.
Without Platform Connect, the local instance is restricted to traditional static thresholds (e.g., "Alert if CPU >
90%"). With it, the system can identify "unusual" behavior (e.g., "Alert if CPU is 70% at 2:00 AM on a Tuesday, when it is normally 10%"). While HCO handles infrastructure monitoring and mapping locally, the specific "intelligence" layer that drives anomaly detection is the standout benefit provided by the Platform Connect architecture.


NEW QUESTION # 55
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