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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Customization and User Experience | 20% | - Dashboards and views customization - Custom properties and resource grouping - User accounts, roles and permissions |
| Topic 2: Alerts and Actions | 15% | - Alert creation and configuration - Thresholds and event triggers - Notification and response actions |
| Topic 3: Reports and Analytics | 15% | - Data analysis and documentation - Report creation and scheduling - Performance and availability metrics |
| Topic 4: SolarWinds Platform Architecture and Deployment | 20% | - Installation and deployment requirements - Network discovery and device addition - Platform components and structure |
| Topic 5: Troubleshooting Tools | 10% | - Issue identification and resolution - Intelligent mapping and topology visualization - AppStack and PerfStack correlation |
| Topic 6: Node Management | 20% | - Node status and monitoring agents - Data collection and management - Entity configuration and maintenance |
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NEW QUESTION # 67
Which two of the following metrics are supported within Hybrid Cloud Observability (HCO) anomaly-based alerting? (Choose two.)
Answer: B,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 # 68
Which two of the following actions can be achieved through the My Deployment page in the web console?
(Choose two.)
Answer: B,C
Explanation:
TheMy Deploymentpage is the centralized administrative hub for managing the health and scale of the SolarWinds Platform. According to theSolarWinds Platform Installation and Upgrade Guide, this page simplifies complex infrastructure tasks that previously required logging into the individual server consoles.
* Centralized Upgrade (B): The "Updates & Evaluations" tab allows administrators to download and orchestrate the upgrade of the main polling engine and all additional polling engines from a single interface. This "Centralized Upgrade" feature ensures all components are updated in the correct order.
* High Availability (HA) Pool Setup (D): The "High Availability" tab provides the wizard-driven interface to create and manage HA pools. This allows you to link a primary server with a standby server to ensure near-zero downtime in the event of a hardware or software failure.
While you canviewlicense status (Option A) or trigger diagnostics (Option C), license activation is typically handled via the License Manager, and diagnostic transmission is often a sub-function of the technical support workflow rather than the primary architectural focus of the "My Deployment" management page.
NEW QUESTION # 69
Alerts A and B were assigned the same trigger action through the action manager. What describes what happens when the action is modified while editing alert A's configuration?
Answer: C
Explanation:
The SolarWinds Platform utilizes a centralizedAction Managerto handle alert notifications and remediations efficiently. According to theSolarWinds Platform Alerting Guide, alert actions (such as sending an email, executing a script, or posting to a Slack channel) are often treated as reusable objects. When multiple alerts (Alert A and Alert B) share the same action from the Action Manager, they are essentially pointing to a single configuration entry in the database.
If an administrator edits Alert A and modifies the parameters of that shared trigger action, the change is not isolated to just that alert's workflow. Instead, thetrigger action is updated in the manager. Because Alert B is linked to that same action ID, it will immediately reflect the updated configuration the next time it triggers.
This behavior is designed to simplify administration; for example, if a primary on-call email address changes, an admin only needs to update the action once rather than editing every individual alert. However, it requires caution: if a user intended to change the action for Alert A only, they should instead "Copy" the action or create a new one to avoid inadvertently altering the behavior of Alert B and all other alerts sharing that centralized action.
NEW QUESTION # 70
Which feature halts the alert escalation process?
Answer: B
Explanation:
Alert escalation in the SolarWinds Platform allows for a tiered response to critical issues (e.g., emailing a technician immediately, then emailing a manager if the issue persists for 30 minutes). According to the SolarWinds HCO Alerting Enginedocumentation, the primary mechanism for a human operator to pause this automated progression isacknowledgement.
When an active alert is acknowledged via the Web Console, several things happen:
* The alert is moved to the "Acknowledged" category, signaling to other team members that the issue is being addressed.
* The "Acknowledge" timestamp and the user's name are recorded.
* The escalation chain is halted.Any further actions defined in the "Escalation" tab of the alert configuration-which were scheduled to fire after a certain duration-are cancelled.
It is important to note that acknowledging an alert doesnotclear the alert or stop the "Reset Conditions" from being monitored. If the node stays down, the alert remains active, but no furthernewescalation emails will be sent. The alert will only truly disappear once the environment returns to a healthy state and the reset conditions are met.
NEW QUESTION # 71
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: B
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 # 72
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