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NEW QUESTION # 34
What is an essential step in building effective dashboards for program analytics?
Answer: B
Explanation:
Building Effective Dashboards for Program Analytics
Well-designed dashboards help SOC teams visualize security trends, performance metrics, and compliance adherence efficiently.
#1. Applying Accelerated Data Models for Better Performance (B)
Speeds up dashboard loading times by using pre-aggregated datasets.
Improves SIEM performance when analyzing large volumes of security logs.
Example:
Instead of running a full search, an accelerated data model pre-indexes event counts by severity level.
#Incorrect Answers:
A: Using predefined templates without modification # Dashboards should be customized for security needs.
C: Avoiding the use of filters and tokens # Filters improve usability by allowing analysts to refine searches.
D: Limiting the number of visualizations # Dashboards should balance performance and visibility rather than limit insights.
#Additional Resources:
Splunk Accelerated Data Models
Building Fast and Efficient Dashboards
NEW QUESTION # 35
What are the main steps of the Splunk data pipeline?(Choosethree)
Answer: B,C,D
Explanation:
The Splunk Data Pipeline consists of multiple stages that process incoming data from ingestion to visualization.
Main Steps of the Splunk Data Pipeline:
Input Phase (C)
Splunk collects raw data from logs, applications, network traffic, and endpoints.
Supports various data sources like syslog, APIs, cloud services, and agents (e.g., Universal Forwarders).
Parsing (D)
Splunk breaks incoming data into events and extracts metadata fields.
Removes duplicates, formats timestamps, and applies transformations.
Indexing (A)
Stores parsed events into indexes for efficient searching.
Supports data retention policies, compression, and search optimization.
NEW QUESTION # 36
What Splunk feature is most effective for managing the lifecycle of a detection?
Answer: D
Explanation:
Why Use "Content Management in Enterprise Security" for Detection Lifecycle Management?
The detection lifecycle refers to the process of creating, managing, tuning, and deprecating security detections over time. In Splunk Enterprise Security (ES), Content Management helps security teams:
#Create, update, and retire correlation searches and security content#Manage use case coverage for different threat categories#Tune detection rules to reduce false positives#Track changes in detection rules for better governance
#Example in Splunk ES:#Scenario: A company updates its threat detection strategy based on new attack techniques.#SOC analysts use Content Management in ES to:
Review existing correlation searches
Modify detection logic to adapt to new attack patterns
Archive outdated detections and enable new MITRE ATT&CK techniques
Why Not the Other Options?
#A. Data model acceleration - Improves search performance but does not manage detection lifecycles.#C.
Metrics indexing - Used for time-series data (e.g., system performance monitoring), not formanaging detections.#D. Summary indexing - Stores precomputed search results but does not control detection content.
References & Learning Resources
#Splunk ES Content Management Documentation: https://docs.splunk.com/Documentation/ES#Best Practices for Security Content Management in Splunk ES: https://www.splunk.com/en_us/blog/security#MITRE ATT&CK Integration with Splunk: https://attack.mitre.org/resources
NEW QUESTION # 37
What is the primary purpose of Splunk SOAR (Security Orchestration, Automation, and Response)?
Answer: A
Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) helps SOC teams automate threat detection, investigation, and response by integrating security tools and orchestrating workflows.
Primary Purpose of Splunk SOAR:
Automates Security Tasks (B)
Reduces manual efforts by using playbooks to handle routine incidents automatically.
Accelerates threat mitigation by automating response actions (e.g., blocking malicious IPs, isolating endpoints).
Orchestrates Security Workflows (B)
Connects SIEM, threat intelligence, firewalls, endpoint security, and ITSM tools into a unified security workflow.
Ensures faster and more effective threat response across multiple security tools.
NEW QUESTION # 38
What methods can improve Splunk's indexing performance?(Choosetwo)
Answer: B,D
Explanation:
Improving Splunk's indexing performance is crucial for handling large volumes of data efficiently while maintaining fast search speeds and optimized storage utilization.
Methods to Improve Indexing Performance:
Enable Indexer Clustering (A)
Distributes indexing load across multiple indexers.
Ensures high availability and fault tolerance by replicating indexed data.
Optimize Event Breaking Rules (D)
Defines clear event boundaries to reduce processing overhead.
Uses correctLINE_BREAKERandTRUNCATEsettings to improve parsing speed.
NEW QUESTION # 39
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