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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Investigation, Event Handling, Correlation, and Risk | 20% | - Continuous monitoring and investigation stages - Enterprise Security components: SPL, Notable Events, Risk Notables - Analyst metrics: MTTR, dwell time - Event dispositions and classification - Built-in dashboards and their use cases |
| Topic 2: Reporting, Compliance, and Operations | 20% | - Operational workflows and documentation - Creating and customizing reports and alerts - Compliance frameworks and reporting requirements |
| Topic 3: 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 |
| Topic 4: 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 |
| Topic 5: Defenses, Data Sources, and SIEM Best Practices | 20% | - Cyber defense systems and key data sources - Splunk Security Essentials and data source assessment - Splunk Enterprise Security concepts: CIM, Data Models, Asset and Identity frameworks |
| Topic 6: Threat and Attack Types, Motivations, and Tactics | 20% | - Tactics, Techniques, and Procedures (TTPs) - Threat Intelligence tiers and application - Threat terminology: ransomware, social engineering, DDoS, APT, etc. - Common attack types and vectors - Annotations in Splunk Enterprise Security |
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NEW QUESTION # 26
Storing log checksums in a public blockchain system is most closely linked to which security concept?
Answer: B
Explanation:
Storing log checksums in a public blockchain ensures that logs cannot be altered without detection. This directly supports Integrity, as the blockchain provides an immutable record that validates the authenticity and completeness of the logs.
NEW QUESTION # 27
There are different metrics that can be used to provide insights into SOC operations. If Mean Time to Respond is defined as the total time it takes for an Analyst to disposition an event, what is the typical starting point for calculating this metric for a particular event?
Answer: C
Explanation:
Mean Time to Respond (MTTR) typically begins when a Notable Event is triggered in Splunk Enterprise Security. This marks the point at which the SOC becomes aware of a potential issue, initiating the response process. The metric captures how quickly analysts can investigate and resolve the event from that trigger point.
NEW QUESTION # 28
A threat hunter generates a report containing the list of users who have logged in to a particular database during the last 6 months, along with the number of times they have each authenticated.
They sort this list and remove any user names who have logged in more than 6 times. The remaining names represent the users who rarely log in, as their activity is more suspicious. The hunter examines each of these rare logins in detail.
This is an example of what type of threat-hunting technique?
Answer: A
NEW QUESTION # 29
An adversary uses "LoudWiner" to hijack resources for crypto mining. What does this represent in a TTP framework?
Answer: B
NEW QUESTION # 30
Which of the following is a reason to use Data Model Acceleration in Splunk?
Answer: C
NEW QUESTION # 31
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