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| Section | Weight | Objectives |
|---|---|---|
| Reporting, Compliance, and Operations | 20% | - Operational workflows and documentation - Creating and customizing reports and alerts - Compliance frameworks and reporting requirements |
| Defenses, Data Sources, and SIEM Best Practices | 20% | - Splunk Security Essentials and data source assessment - Cyber defense systems and key data sources - Splunk Enterprise Security concepts: CIM, Data Models, Asset and Identity frameworks |
| Understanding Cyber Landscape, Frameworks, and Standards | 10% | - Cyber industry controls, standards and frameworks - Information assurance concepts: confidentiality, integrity, availability, risk management - Security Operations Center structure and roles |
| Threat and Attack Types, Motivations, and Tactics | 20% | - Common attack types and vectors - Tactics, Techniques, and Procedures (TTPs) - Annotations in Splunk Enterprise Security - Threat terminology: ransomware, social engineering, DDoS, APT, etc. - Threat Intelligence tiers and application |
| Threat Hunting and Remediation | 10% | - Adaptive Response Actions configuration and use - Threat hunting techniques: indicators, anomalies, behavioral analytics - Long tail analysis, outlier detection, hypothesis hunting |
| Investigation, Event Handling, Correlation, and Risk | 20% | - Event dispositions and classification - Continuous monitoring and investigation stages - Built-in dashboards and their use cases - Enterprise Security components: SPL, Notable Events, Risk Notables - Analyst metrics: MTTR, dwell time |
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NEW QUESTION # 92
As an analyst, tracking unique users is a common occurrence. The Security Operations Center (SOC) manager requested a search with results in a table format to track the cumulative downloads by distinct IP address. Which example calculates the running total of distinct users over time?
eventtype="download" | bin _time span=1d as day | table clientip day
Answer: B
Explanation:
This search first bins events by day and uses stats to list each day's distinct IPs (ips) and count them (dc(clientip)). The streamstats dc(ips) as "Cumulative total" then computes a running distinct count of all IPs seen up through each day, giving the cumulative total you need.
NEW QUESTION # 93
Which argument searches only accelerated data in the Network Traffic Data Model with tstats?
Answer: B
NEW QUESTION # 94
Which dashboard in Enterprise Security would an analyst use to generate a report on users who are currently on a watchlist?
Answer: C
NEW QUESTION # 95
An analyst working in Splunk Enterprise Security notices that a configured detection is not being triggered as expected by authentication data coming from a particular source. The detection uses data models to perform a search so they have looked at the data and confirmed it is CIM compliant. What else could be wrong?
Answer: B
Explanation:
In Splunk Enterprise Security, data models rely on tags to recognize and categorize events properly. Even if the data is CIM-compliant, if it lacks the authentication tag, the data won't populate the Authentication data model, and detections using that model won't trigger. Proper tagging is essential for data to be included in the right data model.
NEW QUESTION # 96
In the context of cybersecurity, what does the term "SIEM" stand for?
Answer: B
NEW QUESTION # 97
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