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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Engineering | 10% | - Data normalization methods and application - Performant data indexing creation and maintenance - Data review and analysis |
| Topic 2: Detection Engineering | 40% | - Creation and tuning of detections and correlation searches - Generating effective Notable Events and findings - Incorporating context into detections - Risk-based modifiers and detections - Detection lifecycle management |
| Topic 3: Building Effective Security Processes and Programs | 20% | - Documentation and standard operating procedures development - Threat intelligence research, integration and development - Risk and detection prioritization methodologies |
| Topic 4: Automation and Efficiency | 20% | - Automation and orchestration for standard operating procedures - Response automation using SOAR playbooks - REST API usage and description - Integration and automation capability comparison between Enterprise Security and SOAR - Case management optimization |
| Topic 5: Auditing and Reporting on Security Programs | 10% | - Dashboard building for program analytics - Security metrics development and optimization - Security report creation and population |
In this way, you can clear all your doubts and understand each topic well. Splunk Dumps PDF are customizable and simulate the real Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) test scenario. The desktop-based SPLK-5002 Practice Exam software works on Windows. The web-based SPLK-5002 practice exam is compatible with all operating systems and browsers.
NEW QUESTION # 22
What is the best method to operationalize the results of a threat hunt for daily use by SOC analysts?
Answer: A
Explanation:
The most effective way to operationalize a validated threat-hunting result is to create detections based on the documented findings . Threat hunting is exploratory: analysts search historical or current telemetry for behaviors that may not yet have reliable automated coverage. Once a repeatable malicious or suspicious pattern is identified and validated, detection engineering converts that knowledge into an analytic that operates continuously.
This establishes a mature feedback loop:
Threat hunt # validate behavior # document evidence # engineer detection # test # deploy # monitor and tune.
Reports and communication remain valuable, particularly for management, architecture, and lessons learned, but they do not provide continuous identification of recurrence. A detection allows the SOC to identify the behavior automatically during routine operations and present relevant results to analysts.
The detection should preserve the context learned during the hunt, including useful fields, appropriate time windows, entity information, exclusions, and potentially ATT & CK annotations or risk information.
Engineers should also assess whether the hunting evidence supports a sufficiently reliable analytic to avoid excessive false positives.
Study Guide topics: threat hunting, detection operationalization, detection lifecycle, hunt-to-detection workflow, continuous security monitoring.
NEW QUESTION # 23
Risk scores are associated with how many levels of risk in Enterprise Security by default?
Answer: A
Explanation:
By default, Splunk Enterprise Security associates risk scores with five levels: Info, Low, Medium, High, and Critical. These levels help prioritize security events and focus analyst attention on the most impactful risks.
NEW QUESTION # 24
What are benefits of aligning security processes with common methodologies like NIST or MITRE ATT&CK?(Choosetwo)
Answer: B,C
Explanation:
Aligning security processes with frameworks likeNIST Cybersecurity Framework (CSF)orMITRE ATT&CKprovides astructured approach to threat detection and response.
Benefits of Using Common Security Methodologies:
Enhancing Organizational Compliance (A)
Helps organizationsmeet regulatory requirements(e.g., NIST, ISO 27001, GDPR).
Ensuresconsistent security controlsare implemented.
Ensuring Standardized Threat Responses (C)
MITRE ATT&CK providesa common language for adversary techniques.
ImprovesSOC workflows by aligning detection and response strategies.
NEW QUESTION # 25
Which of the following is not a type of metadata that can be returned by the metadata command?
Answer: D
Explanation:
Assets are not one of the metadata types returned by Splunk ' s metadata command. The command supports indexed metadata categories including hosts, sources, and sourcetypes , making option C the exception.
Typical examples include:
| metadata type=hosts
| metadata type=sources
| metadata type=sourcetypes
The command provides summarized information about indexed data and can expose attributes such as event counts and first or last observed times without requiring analysts to perform a broad raw-event search. This makes it useful when validating data availability, determining whether a particular host or sourcetype is still reporting, and performing general data-source inventory work.
An asset , by contrast, is an enriched security entity within the broader Enterprise Security context. Asset information can be maintained through Assets and Identities mechanisms and associated lookup structures, but it is not a metadata command type.
The distinction is important in security data engineering. Indexed metadata describes how Splunk stores and categorizes incoming event data; asset context describes organizational entities and their attributes. Confusing those layers can result in inefficient searches or incorrect assumptions about where contextual information resides.
Study Guide topics: metadata, hosts, sources, sourcetypes, indexed metadata, data-source inventory, Assets and Identities.
NEW QUESTION # 26
A security analyst wants to validate whether a newly deployed SOAR playbook is performing as expected.
Whatsteps should they take?
Answer: A
Explanation:
A SOAR (Security Orchestration, Automation, and Response) playbook is a set of automated actions designed to respond to security incidents. Before deploying it in a live environment, a security analyst must ensure that it operates correctly, minimizes false positives, and doesn't disrupt business operations.
#Key Reasons for Using Simulated Incidents:
Ensures that the playbook executes correctly and follows the expected workflow.
Identifies false positives or incorrect actions before deployment.
Tests integrations with other security tools (SIEM, firewalls, endpoint security).
Provides a controlled testing environment without affecting production.
How to Test a Playbook in Splunk SOAR?
1##Use the "Test Connectivity" Feature - Ensures that APIs and integrations work.2##Simulate an Incident - Manually trigger an alert similar to a real attack (e.g., phishing email or failed admin login).3##Review the Execution Path - Check each step in the playbook debugger to verify correct actions.4##Analyze Logs & Alerts - Validate that Splunk ES logs, security alerts, and remediation steps are correct.5##Fine-tune Based on Results - Modify the playbook logic to reduce unnecessary alerts or excessive automation.
Why Not the Other Options?
#B. Monitor the playbook's actions in real-time environments - Risky without prior validation. Itcan cause disruptions if the playbook misfires.#C. Automate all tasks immediately - Not best practice. Gradual deployment ensures better security control and monitoring.#D. Compare with existing workflows - Good practice, but it does not validate the playbook's real execution.
References & Learning Resources
#Splunk SOAR Documentation: https://docs.splunk.com/Documentation/SOAR#Testing Playbooks in Splunk SOAR: https://www.splunk.com/en_us/products/soar.html#SOAR Playbook Debugging Best Practices:
https://splunkbase.splunk.com
NEW QUESTION # 27
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