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NEW QUESTION # 45
What is supported when importing custom property values to SolarWinds* Hybrid Cloud Observability (HCO)?
Answer: B
Explanation:
The Custom Property Import tool is designed to help administrators bulk-update metadata for hundreds or thousands of nodes simultaneously. According to theSolarWinds Platform Administrator Guide, maintaining data integrity is a priority during this process.
A critical feature supported during the import is thatincoming values are validated before being written (D)
. When an administrator uploads a CSV or Excel file containing custom property values, the platform performs a validation check against the defined "Type" of each property in the database. For example, if a custom property InstallDate is defined as a "Date" type, and the import file contains a text string like "Last Tuesday," the validation engine will flag an error and prevent the import from corrupting the database. This validation also checks for character limits and ensures that values for restricted "Drop-down" properties match the predefined allowed list. This safeguard is essential for ensuring that automated alerts and reports, which rely on this metadata, function correctly without being disrupted by malformed data entries.
NEW QUESTION # 46
How is an existing agent's communication mode changed?
Answer: D
Explanation:
Once a SolarWinds agent is deployed, its communication mode (Active/Passive or Agent-Initiated/Server- Initiated) may need to be adjusted due to network changes or security requirements. According to the SolarWinds Platform Agent Managementguide, this is handled through a centralized administrative interface.
The correct method is toedit the agent in the "Manage Agents" page. By navigating toSettings > All Settings > Manage Agents, an administrator can select one or more agents and click "Edit Settings." Within this menu, the "Communication Mode" can be toggled. If the change is possible (i.e., the network allows the new path), the platform sends a command to the agent software on the remote node to switch its listening or polling behavior.
This process is designed to be seamless and does not require a fullredeploy(Option D) of the software, which would be time-consuming and disruptive. Modifying "Global Agent Settings" (Option A) would affect allnew agents but doesn't specifically target an existing agent's unique configuration. The "Manage Agents" page provides the granular control necessary to modify these communication parameters on a per-node or bulk basis.
NEW QUESTION # 47
What is a benefit of polling devices with SolarWinds' Hybrid Cloud Observability (HCO) agent?
Answer: C
Explanation:
The SolarWinds Agent provides a robust alternative to agentless polling (SNMP/WMI), particularly in restricted environments. According to theSolarWinds Platform Agent requirements and port information, the primary architectural benefit is its communication security and firewall-friendly nature.
When using an agent, communication is consolidated. Instead of requiring a wide range of dynamic ports for RPC (as with WMI) or multiple ports for various SNMP checks, the agentcommunicates through a single fixed port(typically TCP 17778 for agent-initiated or 17790 for server-initiated communication).
Furthermore, all traffic between the agent and the polling engine isencryptedusing 256-bit AES encryption.
This makes agents the ideal choice for monitoring:
* DMZ Servers: Where opening numerous ports back to the management network is a security violation.
* Cloud Instances (AWS/Azure): Where data must travel over public or semi-public links and requires encryption in transit.
* Remote Sites: Where NAT or strict firewall rules make traditional SNMP/WMI polling impossible.
Option B is incorrect because agents still report back to the Polling Engine (Orion Information Service), which then handles the database writes. Option C is incorrect as the agent actually increases the granularity of data collection, which may slightly increase database volume rather than reduce load.
NEW QUESTION # 48
A user is building a PerfStack project to troubleshoot an issue with an application. The user is unable to find data for the storage entities that the application accesses beyond application status. Which two of the following reasons explain this discrepancy? (Choose two.)
Answer: A,D
Explanation:
PerfStackis a cross-stack data correlation tool, but its visibility is constrained by the underlying data collection modules and user security settings. According to thePerfStack Troubleshooting Guide, there are two primary reasons why specific entity data (like Storage) would be missing:
* Product Not Installed: Performance data for deep storage metrics (like LUN latency, Array IOPS, or Pool capacity) requires theStorage Resource Monitor (SRM)module or the equivalent HCO storage licensing tiers. If only Server & Application Monitor (SAM) is installed, the user will see the application status, but the specific storage back-end metrics will not be available for selection in the PerfStack pallet because the "collector" for that data doesn't exist.
* Account Limitations: SolarWinds usesAccount Limitationsto restrict user access to specific parts of the infrastructure. If a user account is limited to "Department = Sales" or "Vendor = Cisco," and the storage entities do not meet those criteria, those entities will be filtered out of the search results in PerfStack. Even if the data exists in the database, the platform security layer prevents the user from
"finding" or displaying it to ensure data privacy and multi-tenant security.
NEW QUESTION # 49
What is an AlertStack cluster?
Answer: B
Explanation:
AlertStackis a specialized AIOps feature within Hybrid Cloud Observability (HCO) designed to simplify incident response. According to theSolarWinds HCO Alertingdocumentation, anAlertStack clusteris an autogenerated grouping of related active alerts on related entities.
The primary goal of clustering is to reduce "alert fatigue." Instead of presenting a technician with twenty individual alerts (e.g., one for high CPU on a server, one for an application failure, and three for slow database response), AlertStack analyzes the relationships and dependencies between those entities. If the platform determines that the alerts are part of a single root-cause event-such as a storage array failure impacting multiple virtual machines and their applications-it automatically clusters them into a single visual timeline. This clustering isautogeneratedby the platform's machine learning engine based on the AppStack dependency map; it does not require a user to manually group the alerts. This allows the IT team to identify the "blast radius" of an incident and focus on the primary failure point rather than triaging dozens of symptoms individually.
NEW QUESTION # 50
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