Describe the Value of Data Normalization in Order to Support Integration into Cybersecurity Defense Programs, Such as Security Monitoring and Threat Hunting, E.g. with CIM, CEF. CYBERSECURITY-DEFENSE-ARCHITECT Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A Splunk admin is mapping a custom application's logs to the CIM Authentication data model. The application logs contain a field 'user_name' that represents the username. According to CIM, this field should be mapped to which standard field name?

   • Auser
   • Bsrc_user
   • Cname
   • Daccount
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A SOC is evaluating whether to normalize their data to CIM. They have a mature detection engineering team that writes custom searches for each data source. Which statement best describes the value of normalization for this team?

   • AIt makes the data more secure by encrypting it at rest.
   • BIt allows the team to write a single detection that can be applied across multiple sources, reducing maintenance effort.
   • CIt reduces the need for data ingestion because only normalized fields are stored.
   • DIt eliminates the need for detection engineering because CIM includes pre-built detections.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A security operations center (SOC) ingests firewall logs, endpoint detection and response (EDR) alerts, and cloud access logs. Analysts complain that they must remember the unique field names for each source when writing correlation searches, and they often miss events because a field like 'source IP' is named differently across sources. Which approach directly addresses this operational pain point?

   • ACreate separate dashboards for each data source so analysts can view each source's native fields.
   • BIncrease the volume of data ingested so that analysts have more context when investigating an alert.
   • CTrain analysts to memorize the field names for each source and write separate searches for each source.
   • DNormalize the data to a common schema such as the Splunk Common Information Model (CIM) so that equivalent fields share consistent names across all sources.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is the first step in mapping raw data fields to CIM-compliant fields?

   • AIdentify the relevant CIM data model and its required fields
   • BDelete all raw data fields that do not match the CIM
   • CCreate a new data model for each data source
   • DConvert all data to JSON format
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   What is a key benefit of normalizing data for security monitoring?

   • AIt eliminates false positives in alerts
   • BIt automatically patches security vulnerabilities
   • CIt reduces the need for security analysts
   • DIt allows analysts to use a single query language across all data sources
   Reveal Solution Discussion Select an answer first