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NEW QUESTION # 33
Which two of the following statements describe the AppStack tool in SolarWinds Hybrid Cloud Observability (HCO)? (Choose two.)
Answer: A,D
Explanation:
AppStackis a specialized visualization tool designed to show the "stack" of dependencies between different layers of an IT environment. According to theSolarWinds Platform Administrator Guide, AppStack has two defining characteristics:
* Automatic Relationship Gathering (A): The tool uses the data already collected by various modules (SAM, VMAN, SRM) toautomaticallymap how applications, database instances, servers, virtual hosts, and storage volumes are linked. This eliminates the need for manual manual line-drawing in most cases.
* Customizable Visual Mapping (B): It provides aninteractive environment viewwhere users can filter by status, application name, or site to see a visual map of the infrastructure. This allows a user to click on a failing application and see exactly which virtual host or storage array might be causing the failure due to its relationship.
Options C and D describePerfStack(Performance Analysis), which is the tool used for time-series correlation and dragging metrics onto charts. AppStack focuses on thestructureof the environment, whereas PerfStack focuses on theperformance dataof the entities within that structure.
NEW QUESTION # 34
Which function is provided by Platform Connect?
Answer: A
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 # 35
A company has two SolarWinds* Hybrid Cloud Observability (HCO) servers, running in two different sites.
An employee at the second site has designed a report that the first site wants to use. How can the report be shared between the sites?
Answer: A
Explanation:
In the SolarWinds Platform, transferring report definitions between different instances (such as Site A and Site B) requires a format that captures the underlying logic, SQL/SWQL queries, and layout metadata.
According to theSolarWinds Platform Reporting Guide, while CSV, PDF, and DOC are formats used for exporting theresultsof a report (the data), they do not contain the instructions needed to recreate the report itself on a different server.
To share a report's structure, the administrator must use theExport/Import XMLfunctionality. By selecting the report in the Report Manager and choosing "Export," the system generates a specialized.xml file. This file contains the complete definition of the report, including the datasource filters, selected columns, chart configurations, and formatting rules. When this XML file is imported into the second SolarWinds instance, the platform parses the code and creates a new entry in the local database. This is the standard method for migrating custom reports from a test environment to production or sharing successful reporting templates across a geographically distributed organization with multiple independent polling installations.
NEW QUESTION # 36
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: B
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 # 37
What indicates an alert cluster has been eliminated (i.e., end conditions have been met)?
Answer: B
Explanation:
In Hybrid Cloud Observability (HCO), specifically within theAlertStackfeature, related alerts are grouped into clusters to reduce "alert fatigue" and provide a unified view of an incident. According to theSolarWinds HCO Alerting Guide, an alert cluster transitions through several states based on the status of the underlying trigger conditions.
When the primary issues that triggered the alerts within the cluster are addressed and the "Reset Conditions" for those alerts are satisfied, the cluster is automatically managed by the system. The term used to define a cluster that has met its end conditions isauto-closed. Unlike manual "acknowledgment" or "resolution," which are user-driven actions, "auto-closed" signifies that the platform's monitoring engine has verified the environment has returned to a healthy state and the cluster no longer requires active monitoring or intervention. This automated lifecycle management is central to the AIOps and machine-learning capabilities of the platform, ensuring that the dashboard only reflects currently active, actionable incidents rather than historical events that have already been naturally corrected.
NEW QUESTION # 38
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