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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis and SIEM | 25% | - SIEM Deployment
|
| Topic 2: Enhanced Incident Detection with Threat Intelligence | 20% | - Threat Hunting
|
| Topic 3: Incident Response and Forensics | 20% | - Incident Response Planning
|
| Topic 4: SOC Process and Workflow | 20% | - Incident Response
|
| Topic 5: SOC Infrastructure and Threat Intelligence | 15% | - SOC Overview
|
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NEW QUESTION # 189
A SOC analyst is responsible for designing a security dashboard that provides real-time monitoring of security threats. The organization wants to avoid overwhelming analysts with excessive information and focus on the most critical security alerts to ensure timely responses to potential threats. Which principle should guide the design of the dashboard?
Answer: C
Explanation:
SOC dashboards are operational tools, not data lakes. The guiding principle is to maximize analyst decision speed and accuracy under time pressure. Prioritizing critical information and removing unnecessary details reduces cognitive overload and alert fatigue, which are major contributors to missed high-severity incidents.
A well-designed SOC dashboard highlights high-signal items first: active high/critical incidents, alerts with confirmed impact, identity compromise indicators, lateral movement signals, and key environmental health metrics (ingestion gaps, sensor failures). It also supports triage by surfacing minimal but essential context:
affected user/host, severity, time window, tactic/technique mapping, and recommended first action. "Include as much data as possible" often results in clutter that slows response and hides important signals. Restricting access to only network admins is not a design principle and can hinder collaboration. Using only historical data undermines real-time detection and containment, which is central to SOC operations. Effective dashboards follow "need-to-know for action": show what enables a fast, correct response first, and provide drill-down for deeper analysis when needed.
NEW QUESTION # 190
A type of threat intelligent that find out the information about the attacker by misleading them is known as
.
Answer: C
Explanation:
NEW QUESTION # 191
InfoSystem LLC, a US-based company, is establishing an in-house SOC. John has been given the responsibility to finalize strategy, policies, and procedures for the SOC.
Identify the job role of John.
Answer: C
Explanation:
The role offinalizing strategy, policies, and procedures for a Security Operations Center (SOC) typically falls under the responsibilities of a Chief Information Security Officer (CISO). The CISO is a senior-level executive within an organization who coordinates and manages the overall strategy and defense mechanisms to protect the organization's information and technology assets. This role involves leadership and strategic decision-making, which includes establishing the SOC's framework, defining its policies, and overseeing its procedures.
References: The EC-Council provides various resources and guides that outline the roles and responsibilities within a SOC. According to the information available, a Security Analyst, whether Level 1 or Level 2, isprimarily responsible for monitoring and analyzing the organization's security posture on a continuous basis. A Security Engineer focuses on the design and implementation of security systems. In contrast, the CISO role encompasses a broader scope of strategic leadership and management, which aligns with the responsibilities described for John in the scenario12.
Reference: https://www.exabeam.com/security-operations-center/security-operations-center-roles-and- responsibilities/
NEW QUESTION # 192
Which of the following stage executed after identifying the required event sources?
Answer: C
Explanation:
After identifying the required event sources in a Security Operations Center (SOC) process, the next stage is to define rules for the use case. This involves specifying the criteria or conditions that will trigger alerts or actions based on the data received from the identified event sources. It is a critical step in ensuring that the SOC can effectively monitor and respond to security events.
References: This step is a standard practice in SOC operations and is supported by various cybersecurity frameworks and guidelines. It is also discussed in the context of the EC-Council's Certified SOC Analyst (CSA) program, which emphasizes the importance of defining rules and alerts to manage and respond to security incidents1.
NEW QUESTION # 193
Jannet works in a multinational corporation that operates multiple data centers, cloud environments, and on- premises systems. As a SOC analyst, she notices that security incidents are taking too long to detect and investigate. After analyzing this, she discovers that logs from firewalls, endpoint security solutions, authentication servers, and cloud applications are scattered across different systems in various formats. Her team has to manually convert logs into a readable format before investigating incidents. What approach should she implement to accept logs from heterogeneous sources with different formats, convert them into a common format, and improve incident detection and response time?
Answer: B
Explanation:
Log normalization is the key step that converts heterogeneous logs into a consistent, common schema so analysts and detections can reliably query and correlate events. In real SOC workflows, different sources use different field names, timestamp formats, severity labels, and value conventions (for example, "src_ip" vs
"SourceIP," "user" vs "AccountName"). Normalization standardizes these into consistent fields (time, host, user, source/destination, action, outcome), enabling rule logic and dashboards to work across vendors without constant manual translation. Log collection is simply getting logs into a central place; it does not guarantee they are usable or consistent. Log transformation is a broader term that can include parsing or enrichment, but normalization is the specific practice of mapping diverse formats into a common model. Log correlation comes after normalization; correlation links related events (e.g., failed logons + suspicious process + outbound beaconing) and depends on normalized data to work well. Since the problem is explicitly "multiple formats" and manual conversion delays investigation, the best solution is normalization to accelerate triage, reduce query complexity, and improve detection fidelity.
NEW QUESTION # 194
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