IBM Assessment: IBM AIOps v1 Practice Exam: Test Your Knowledge 2025

What is the primary purpose of IBM AIOps in an enterprise IT environment?

A large enterprise wants to ingest events from multiple monitoring tools including Nagios, Prometheus, and Splunk into IBM AIOps. Which component is primarily responsible for receiving and normalizing these events?

In IBM AIOps, what is the role of the Topology Manager component?

Which architectural layer in IBM AIOps is responsible for applying machine learning models to detect patterns and anomalies in operational data?

What type of database architecture does IBM AIOps typically use for storing high-volume time-series data from monitoring sources?

An operations team receives thousands of alerts daily from their monitoring infrastructure. What is the primary benefit of event correlation in IBM AIOps?

In IBM AIOps, what is the purpose of temporal correlation when analyzing events?

A company's web application experiences a database connection failure, which triggers alerts from the application server, load balancer, and monitoring system. How does IBM AIOps typically handle this scenario?

What is the significance of event severity normalization in IBM AIOps when ingesting events from multiple monitoring tools?

In IBM AIOps, what is the primary purpose of event enrichment?

A retail company experiences increased transaction failures during peak shopping hours. Which IBM AIOps capability would help identify that this pattern deviates from normal behavior?

What technique does IBM AIOps use to reduce the number of false positive alerts presented to operations teams?

During a major incident, IBM AIOps identifies multiple potential root causes. What is the recommended approach for incident analysis?

In IBM AIOps, what is the primary advantage of using log anomaly detection for incident analysis?

A financial services company needs to prioritize incidents based on business impact. Which IBM AIOps capability supports this requirement?

What is the role of historical incident data in IBM AIOps root cause analysis?

An organization experiences a complex, multi-tier application failure. Which IBM AIOps feature would best help visualize the cascading impact across dependent services?

In IBM AIOps, how does causal analysis differ from simple correlation when determining root causes?

What is a key consideration when configuring data retention policies in IBM AIOps?

An IBM AIOps deployment is experiencing performance degradation during peak event ingestion periods. What should be the first step in troubleshooting this issue?