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| Section | Weight | Objectives |
|---|---|---|
| Enhanced Incident Detection with Threat Intelligence | 20% | - Incident Investigation
|
| Data Analysis and SIEM | 25% | - SIEM Operations
|
| SOC Infrastructure and Threat Intelligence | 15% | - SOC Overview
|
| Incident Response and Forensics | 20% | - Incident Response Planning
|
| SOC Process and Workflow | 20% | - Incident Detection and Analysis
|
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NEW QUESTION # 143
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: A
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 # 144
Which of the following process refers to the discarding of the packets at the routing level without informing the source that the data did not reach its intended recipient?
Answer: C
Explanation:
Black hole filtering is a network security measure used to prevent unwanted or malicious traffic from entering a network. It works by directing traffic to a null interface, a non-existent server, or a black hole IP address where the packets are dropped without acknowledgment. This process is typically used to protect against denial-of-service (DoS) attacks, where an overwhelming amount of traffic is sent to a network with the intent to disrupt service.
In the context of a security operations center (SOC), black hole filtering can be an effective strategy for mitigating threats. When a threat is identified, such as a DoS attack, the SOC analyst can configure the network to redirect the suspicious traffic to a black hole, effectively neutralizing the attack by preventing the malicious data packets from reaching their intended target.
References: The EC-Council's Certified SOC Analyst (C|SA) program covers various defensive strategies, including black hole filtering, as part of its curriculum for Tier I and Tier II SOC analysts. The program emphasizes the importance of understanding and implementing network security measures to protect against cyber threats12.
NEW QUESTION # 145
Which encoding replaces unusual ASCII characters with "%" followed by the character's two-digit ASCII code expressed in hexadecimal?
Answer: B
NEW QUESTION # 146
Which of the following tool can be used to filter web requests associated with the SQL Injection attack?
Answer: A
Explanation:
UrlScan is a security tool that screens all incoming requests to a server and filters these requests based on rules set by the administrator. It is particularly effective against SQL Injection attacks because it can block requests that appear to be malicious, such as those containing SQL syntax or certain keywords often used in SQL Injection.
Nmap is a network scanning tool, not specifically designed for filtering web requests. ZAP Proxy is an open- source web application security scanner, which is used for finding vulnerabilities in web applications but not specifically for filtering requests. Hydra is a password cracking tool, which again, is not used for filtering web requests.
References: The answer is verified as per the EC-Council's SOC Analyst course materials and learning resources, which include training on various security tools and their purposes. Specifically, the EC-Council's SQL Injection Training and other related courses provide insights into the tools and techniques for defending against SQL Injection attacks123.
Reference: https://aip.scitation.org/doi/pdf/10.1063/1.4982570
NEW QUESTION # 147
You are a SOC analyst on duty during a high-severity incident involving a DDoS attack targeting your organization's e-commerce platform. The attack disrupts online transactions. Using SIEM tools and packet capture systems, you identify unusual traffic patterns and trace activity back to command-and-control (C2) servers directing a botnet. Your goal is to recommend an eradication strategy that will sever the attackers' control over infected devices and halt the attack. Which strategy should your team implement?
Answer: A
Explanation:
"Neutralizing handlers" is the best match because it focuses on disrupting the botnet's command-and-control layer that coordinates the attack. In classic botnet terminology, handlers (or C2 nodes) issue instructions to compromised hosts. If you can block, sinkhole, or otherwise disrupt communication to those controlling nodes, you reduce the adversary's ability to direct traffic and sustain the DDoS. Rate limiting is a useful mitigation to reduce immediate impact on your services, but it does not sever attacker control; it is more a resilience measure than eradication. "Blocking potential attacks" is too generic and describes a broad defensive posture rather than a specific botnet-focused eradication action. "Disabling botnets" is an outcome, but it is not a precise operational strategy in the way "neutralizing handlers" is; disabling a botnet often requires a combination of takedowns, sinkholing, upstream provider coordination, and endpoint remediation- activities that are commonly operationalized by targeting the handler/C2 infrastructure. From a SOC standpoint, this also aligns with coordinated response: implement network blocks, collaborate with ISP/CDN, and use threat intel to identify additional C2 endpoints while continuing service-level mitigations.
NEW QUESTION # 148
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