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SolarWinds Observability Self-Hosted Fundamentals Sample Questions (Q50-Q55):
NEW QUESTION # 50
Which two of the following statements apply to SolarWinds Hybrid Cloud Observability (HCO) Platform?
(Choose two.)
- A. requires SolarWinds hybrid cloud observability
- B. can be deployed on-premises or in the cloud
- C. can operate without an internet connection
- D. provides AIOps and machine learning technology
Answer: B,C
Explanation:
The SolarWinds Hybrid Cloud Observability (HCO) Platform is designed for maximum deployment flexibility to accommodate diverse enterprise security and infrastructure requirements. According to the SolarWinds Platform Installation and Upgrade Guide, the platform's architecture is fundamentally self- contained.
* Operation without an internet connection (A): This is a critical requirement for many government, military, and high-security financial environments. The platform is capable of "air-gapped" operation, where all polling, data processing, and visualization occur within a private network. While features like
"Platform Connect" (for cloud-based AI) may require a connection, the core monitoring, alerting, and reporting functions remain fully operational without any external internet access.
* Deployment on-premises or in the cloud (B): HCO is truly hybrid. It can be installed on physical hardware or virtual machines within a local data center, or it can be deployed within a Virtual Private Cloud (VPC) on platforms like AWS or Azure. This allows organizations to maintain their monitoring infrastructure alongside their managed assets, regardless of where those assets reside.
While HCOprovidesAIOps and machine learning (Option C), this is a feature of specific licensing tiers and configuration states rather than a fundamental "platform" characteristic that defines its deployment capability in the same way its offline and hybrid nature does.
NEW QUESTION # 51
A user reported they could not see data related to monitored nodes beyond their geographical location within SolarWinds* Hybrid Cloud Observability (HCO). Other staff within the organization do not have the same problem. What is the likely cause of the issue?
- A. account has been limited to nodes within the geographical location
- B. nodes beyond the user's geographical location are displayed in widgets that are hidden from the user
- C. nodes outside the user's geographical location are not monitored
- D. view limitations for those nodes beyond the user's geographical location are applied to views
Answer: A
Explanation:
In the SolarWinds Platform, data visibility is controlled at the account level through a security feature known as Account Limitations. According to theSolarWinds Platform User Account Managementdocumentation, when a single user has restricted visibility while others do not, it points to a specificAccount Limitation applied to that user's profile.
Account limitations act as a persistent filter on the database queries performed by the Web Console during that user's session. If an administrator has configured a limitation based on a custom property like "Location" or "Region," the user will only see entities that match that specific criteria. For example, if the user's account is limited to Location = New York, they will be unable to see nodes, alerts, or reports associated with Location = London, even if those nodes are active and being monitored by the system.
This is a fundamental tool for multi-tenant environments or large enterprises where different teams are responsible for different geographic or logical segments of the network. It is more effective than "View Limitations" (Option D) because an account limitation follows the user across the entire platform, including search results, alerts, and reports, whereas a view limitation only affects a specific dashboard page. Options B and C are unlikely because they would typically affect multiple users or indicate a major monitoring gap rather than a user-specific visibility issue.
NEW QUESTION # 52
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?
- A. The missing devices were configured for SNPMvS.
- B. The network discovery timeout was too short
- C. The preferred polling method in the discovery job was set to WML
- D. The missing devices were included in the discovery ignore list.
Answer: D
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 # 53
What is a benefit of polling devices with SolarWinds' Hybrid Cloud Observability (HCO) agent?
- A. data is written directly into the database
- B. polling reduces database load
- C. communicates through singled fixed port data transmitted is encrypted
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 # 54
Which two of the following metrics are supported within Hybrid Cloud Observability (HCO) anomaly-based alerting? (Choose two.)
- A. disk space usage
- B. average CPU load
- C. percent packet loss
- D. interface utilization
Answer: B,C
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 # 55
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