50 IBM Assessment: IBM AIOps v1 Practice Questions: Question Bank 2025

An operations team is designing an IBM AIOps deployment and wants to ensure raw events, metrics, logs, and topology data can be ingested and normalized before analytics and automation run. Which architectural component best fits this requirement?

A network device starts flapping, generating hundreds of similar alerts within minutes. The on-call engineer wants IBM AIOps to reduce noise by grouping these into fewer actionable signals. Which capability addresses this need most directly?

A major incident occurs and the incident commander asks for the most likely underlying cause and impacted services based on current symptoms and dependencies. Which IBM AIOps outcome is being requested?

After onboarding a new monitoring source, a team notices a high rate of false positives due to static thresholds that do not reflect normal daily seasonality. What is the recommended AIOps approach to improve signal quality?

A bank wants IBM AIOps to correlate application alerts with infrastructure events. The team realizes the incoming events from multiple tools use different field names for severity, host, and service. What should they do first to enable reliable correlation?

A team wants to tune event correlation so that only alerts occurring within a meaningful time relationship are grouped (for example, dependent failures within a short window). Which configuration concept is most relevant?

During incident review, the team finds that IBM AIOps identified the right root cause, but the impact analysis missed several downstream services. What is the most likely data gap to address?

A company wants to implement automated remediation for a recurring incident type but must ensure changes are controlled and auditable. Which approach is the best practice?

In a microservices environment, an event correlation policy is grouping many unrelated alerts together whenever they share the same Kubernetes namespace. The result is oversized alert groups that slow triage. What is the best corrective action?

After onboarding metrics and logs, IBM AIOps anomaly detection generates frequent alerts that engineers consider non-actionable. The team wants to reduce alert fatigue without missing real incidents. Which is the most effective strategy?

A team wants IBM Cloud Pak for AIOps to ingest events from a tool that can only send JSON over HTTP. They need near-real-time ingestion and do not want to deploy a custom long-running collector. Which approach best fits this requirement?

During an incident, operators notice hundreds of repeated alerts caused by a flapping interface. They want to reduce noise while still keeping visibility that the interface is unstable. Which event management technique should be applied?

An SRE team wants faster mean time to resolution (MTTR) by automatically attaching the most relevant runbook and recent similar incident history when a new high-priority incident is created. Which capability most directly supports this outcome?

A company is building event correlation. They ingest events from multiple sources where the same device may be referenced by hostname, FQDN, or IP address. Correlation is failing because events are treated as different resources. What is the best practice to improve correlation accuracy?

An application outage triggers multiple symptoms (pod restarts, service latency, and database connection errors). Operators want IBM Cloud Pak for AIOps to identify the most likely originating component rather than listing all symptoms equally. Which approach best supports this?

After onboarding a new event source, incidents are being created but enrichment fields (like application/service name) are often blank, limiting correlation and routing. What is the most likely configuration gap?

A team wants to tune correlation to reduce false groupings. They observe that maintenance windows generate planned events that get correlated into production incidents. What is the best practice to prevent planned maintenance events from impacting incident correlation?

Incident analysis models are producing unreliable results after a major change in logging format and alert taxonomy. The team suspects concept drift. What is the most appropriate corrective action?

A large enterprise wants high availability for the AIOps platform itself. They are designing for resilience so that a node failure does not interrupt event ingestion and correlation processing. Which architectural choice best supports this requirement?

A team wants end-to-end root cause detection across microservices. Events arrive quickly, but topology is incomplete because some services have dynamic names and short lifetimes. Root cause results are inconsistent. What is the most effective improvement?

An operations team wants to understand how IBM Cloud Pak for AIOps ingests and processes operational data end-to-end. Which description best represents the typical architecture flow?

A team is seeing many duplicate alerts from the same application because different monitoring tools send slightly different summaries for the same underlying issue. What is the most appropriate first step to reduce noise in event management?

An SRE wants to quickly determine whether an incident is likely caused by a recent change. Which data source is most directly relevant to add to the incident analysis context?

A company wants to implement event correlation across hybrid environments. They have strong topology data for Kubernetes but weak topology for legacy VMs. Which approach is most likely to improve correlation quality across both environments?

After onboarding a new log source, the team notices that similar error messages are not grouped together because the log lines contain dynamic IDs (for example, requestId, sessionId). What is the best practice to improve log-based pattern detection and incident grouping?

A platform engineer wants to validate that IBM Cloud Pak for AIOps is healthy after a certificate rotation. Which check is most appropriate to confirm the platform can still process operational data?

A team wants incidents to automatically create ITSM tickets only when the incident is both high severity AND likely customer-impacting. Which design best supports this requirement?

A company reports that correlation is frequently grouping unrelated events together during peak traffic. They observe that many resources share similar names across environments (for example, 'web-01' exists in dev, test, and prod). Which change most directly addresses the root cause?

During root cause analysis, Cloud Pak for AIOps repeatedly suggests the database as the probable cause for application latency incidents. However, DB metrics show normal behavior, and the issue is later traced to DNS failures impacting service discovery. What is the most likely improvement to prevent this recurring misidentification?

A regulated enterprise must limit which teams can view log contents while still allowing cross-team incident correlation at the service level. Which approach best meets this requirement in an AIOps implementation?

An operations team wants IBM AIOps to start ingesting events from an existing monitoring tool. The tool can send webhooks but the team wants minimal custom code. What is the recommended approach?

A new team member asks what the primary benefit of event normalization is in an AIOps platform. Which answer is most accurate?

You are designing the data flow for IBM AIOps. Which ordering best represents a typical event-processing pipeline used to reduce noise and identify actionable situations?

During onboarding, an architect explains how IBM AIOps relates to existing tools. Which statement best reflects a common architecture pattern?

A team sees repeated pages for the same condition because different tools generate slightly different messages for the same outage. What is the best first step to reduce this noise in IBM AIOps?

After correlation is enabled, operators report that unrelated events are being grouped together during a busy release window. What adjustment is most appropriate to improve correlation quality?

An SRE wants IBM AIOps to help identify likely root cause when multiple symptoms appear across services. Which data source most directly strengthens root cause analysis in addition to events?

A platform engineer notices that anomaly detection is generating too many false positives after a planned capacity increase. What is the best practice to stabilize detection accuracy?

A regulated enterprise must ensure IBM AIOps can correlate incidents but must not ingest sensitive payload details from certain event sources (e.g., customer identifiers). Which approach best meets this requirement while maintaining correlation value?

A team wants IBM AIOps to propose the most likely root cause among multiple candidate components. During validation, the system consistently points to a downstream service that only shows symptoms. What is the most likely reason and best corrective action?

A new operator needs to quickly find only actionable events in the IBM AIOps console during an incident. Which capability best supports filtering noise while keeping relevant context visible?

You are onboarding a new Kubernetes cluster into IBM AIOps. Which approach is the best practice to ensure events can be correlated to the correct application/service?

An SRE team wants to keep IBM AIOps up to date with minimal downtime and risk. Which operational practice is most appropriate?

After integrating two monitoring tools, the same incident generates multiple near-identical events with slightly different hostnames (e.g., short name vs FQDN). Correlation is failing to group them. What is the most effective fix?

An incident commander wants IBM AIOps to highlight likely root cause components when multiple symptoms appear across microservices. Which data input most improves the platform’s ability to perform topology-aware RCA?

A team notices that correlation groups are too broad: unrelated events from different applications are being clustered together. Which adjustment is most appropriate to improve precision?

During an outage, IBM AIOps suggests a likely root cause service, but engineers suspect it is only a downstream symptom. What is the best next step within an AIOps-driven workflow to validate the suggestion?

IBM AIOps event ingestion is healthy, but operators complain about frequent bursts of duplicate alerts from a flapping probe. What is the recommended platform-oriented strategy to reduce alert storms while preserving visibility of the underlying issue?

A financial services company requires strict network controls. They want IBM AIOps to ingest events from on-prem tools without exposing those tools to inbound connections from the cluster. Which architecture choice best satisfies this requirement?

After a rapid expansion, IBM AIOps performance degrades: event processing latency increases and correlation results arrive late. Which troubleshooting approach is most appropriate to identify the bottleneck without guesswork?