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NEW QUESTION # 90
What elements are critical for developing meaningful security metrics? (Choose three)
Answer: A,D,E
Explanation:
Key Elements of Meaningful Security Metrics
Security metrics shouldalign with business goals, be validated regularly, and have standardized definitionsto ensure reliability.
#1. Relevance to Business Objectives (A)
Security metrics should tie directly tobusiness risks and priorities.
Example:
A financial institution might trackfraud detection ratesinstead of genericmalware alerts.
#2. Regular Data Validation (B)
Ensures data accuracy byremoving false positives, duplicates, and errors.
Example:
Validatingphishing alert effectivenessby cross-checking withuser-reported emails.
#3. Consistent Definitions for Key Terms (E)
Standardized definitions preventmisinterpretation of security metrics.
Example:
Clearly definingMTTD (Mean Time to Detect) vs. MTTR (Mean Time to Respond).
#Incorrect Answers:
C: Visual representation through dashboards# Dashboards help, butdata quality matters more.
D: Avoiding integration with third-party tools# Integrations withSIEM, SOAR, EDR, and firewallsarecrucial for effective metrics.
#Additional Resources:
NIST Security Metrics Framework
Splunk
NEW QUESTION # 91
Which syntax is correct to create two new rows on an existing threat intelligence collection?
Answer: A
Explanation:
This syntax is valid because it passes multiple JSON objects inside a single array for the item parameter, ensuring both new rows are added to the collection in one request.
NEW QUESTION # 92
A company's Splunk setup processes logs from multiple sources with inconsistent field naming conventions.
Howshould the engineer ensure uniformity across data for better analysis?
Answer: C
Explanation:
Why Use CIM for Field Normalization?
When processing logs from multiple sources with inconsistent field names, the best way to ensure uniformity is to use Splunk's Common Information Model (CIM).
#Key Benefits of CIM for Normalization:
Ensures that different field names (e.g., src_ip, ip_src, source_address) are mapped to a common schema.
Allows security teams to run a single search query across multiple sources without manual mapping.
Enables correlation searches in Splunk Enterprise Security (ES) for better threat detection.
Example Scenario in a SOC:
#Problem: The SOC team needs to correlate firewall logs, cloud logs, and endpoint logs for failed logins.
#Without CIM: Each log source uses a different field name for failed logins, requiring multiple search queries.
#With CIM: All failed login events map to the same standardized field (e.g., action="failure"), allowing one unified search query.
Why Not the Other Options?
#A. Create field extraction rules at search time - Helps with parsing data but doesn't standardize field names across sources.#B. Use data model acceleration for real-time searches - Accelerates searches but doesn't fix inconsistent field naming.#D. Configure index-time data transformations - Changes fields at indexing but is less flexible than CIM's search-time normalization.
References & Learning Resources
#Splunk CIM for Normalization: https://docs.splunk.com/Documentation/CIM#Splunk ES CIM Field Mappings: https://splunkbase.splunk.com/app/263#Best Practices for Log Normalization: https://www.splunk.
com/en_us/blog/tips-and-tricks
NEW QUESTION # 93
What Splunk process ensures that duplicate data is not indexed?
Answer: A
Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.
NEW QUESTION # 94
What is the main purpose of incorporating threat intelligence into a security program?
Answer: A
Explanation:
Why Use Threat Intelligence in Security Programs?
Threat intelligence providesreal-time data on known threats, helping SOC teamsidentify, detect, and mitigate security risks proactively.
#Key Benefits of Threat Intelligence:#Early Threat Detection- Identifiesknown attack patterns(IP addresses, domains, hashes).#Proactive Defense- Blocks threatsbefore they impact systems.#Better Incident Response- Speeds uptriage and forensic analysis.#Contextualized Alerts- Reduces false positives bycorrelating security events with known threats.
#Example Use Case in Splunk ES:#Scenario:The SOC team ingeststhreat intelligence feeds(e.g., from MITRE ATT&CK, VirusTotal).#Splunk Enterprise Security (ES)correlates security eventswith knownmalicious IPs or domains.#If an internal system communicates with aknown C2 server, the SOC teamautomatically receives an alertandblocks the IPusing Splunk SOAR.
Why Not the Other Options?
#A. To automate response workflows- While automation is beneficial,threat intelligence is primarily for proactive identification.#C. To generate incident reports for stakeholders- Reports are abyproduct, but not themain goalof threat intelligence.#D. To archive historical events for compliance- Threat intelligence isreal- time and proactive, whereas compliance focuses onrecord-keeping.
References & Learning Resources
#Splunk ES Threat Intelligence Guide: https://docs.splunk.com/Documentation/ES#MITRE ATT&CK Integration with Splunk: https://attack.mitre.org/resources#Threat Intelligence Best Practices in SOC:
https://splunkbase.splunk.com
NEW QUESTION # 95
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