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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Operations Strategy | - Security operations planning
| |
| Topic 2: Advanced Threat Intelligence and Analysis | 5% | - Threat intelligence strategy development
|
| Topic 3: Security Architecture and Defense Design | - Enterprise security architecture design
| |
| Topic 4: Security Data Management | 20% | - Security data integration strategies
|
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NEW QUESTION # 41
A member of the detection engineering team is gathering data points related to the true-positive and false- positive rates of detections.
Which of the following practices can help refine detections?
Answer: B
Explanation:
Continuous Process Improvement (CPI) provides a structured approach to refining security detections through ongoing measurement, analysis, testing, and optimization.
Detection engineering is not a one-time development activity. Detection rules require adjustments as network environments, business processes, data sources, and adversary techniques evolve.
True-positive and false-positive rates provide useful indicators of detection quality.
A high false-positive rate may indicate overly broad detection criteria, insufficient contextual filtering, inaccurate thresholds, or incomplete understanding of legitimate system behavior.
Conversely, a detection that generates few alerts may still be ineffective if it fails to identify relevant attack activity.
Splunk Enterprise Security supports detection tuning through analysis of search results, identification of noisy field values, and evaluation of proposed filtering changes.
These capabilities enable engineers to examine the causes of excessive alerts and modify detection logic while assessing potential effects on security coverage.
A CPI cycle should establish baseline measurements, identify improvement opportunities, test changes, evaluate results, and document approved revisions.
Iterative refinement is part of this process, but Continuous Process Improvement provides the broader operational discipline.
Process reengineering generally involves fundamental redesign rather than incremental optimization of existing detection rules.
The objective is to improve detection fidelity while preserving coverage of significant security threats.
Official reference / study topic: Splunk Enterprise Security, Tune Detections and Analyze False-Positive Findings.
NEW QUESTION # 42
A cybersecurity engineering team is looking to increase its insight into security-relevant activities on Windows hosts. They are already importing a subset of Windows Event Logs but seek more visibility into process creation, process image hashes, and driver/DLL load events. What log types should be prioritized to improve visibility and detection footprint? (Choose all that apply.)
Answer: B,D
Explanation:
Sysmon logs provide detailed Windows host telemetry such as process creation, file hashes, network connections, and driver or DLL load activity. EDR logs also provide endpoint-level visibility into process behavior, execution chains, file activity, and suspicious host events, making them valuable for improving detection coverage on Windows systems.
NEW QUESTION # 43
An organization is collecting over 700TB of security data per day. What is one strategy they can use to reduce the amount of data that is collected and still let detection engineering run full breadth detections in the SIEM?
Answer: B
Explanation:
Storing only the data elements required for defined detection and security use cases reduces ingestion volume while preserving the fields needed for full-breadth SIEM detections. This approach focuses collection on actionable telemetry rather than retaining unnecessary raw data that increases cost and complexity.
NEW QUESTION # 44
A SIEM has a critical role in continually monitoring the effectiveness of security controls.
What is the primary security function of a SIEM?
Answer: C
Explanation:
A Security Information and Event Management (SIEM) platform primarily aggregates, normalizes, searches, and correlates security telemetry collected from different technologies across an organization ' s infrastructure.
These data sources may include identity providers, operating systems, cloud platforms, firewalls, endpoint security solutions, application servers, and network monitoring technologies.
By centralizing this information, a SIEM enables security operations teams to identify patterns that might not be apparent when individual data sources are examined independently.
For example, multiple failed authentication attempts followed by privileged account activity and an unusual outbound connection may indicate potential account compromise.
Splunk Enterprise Security provides detection engineering, correlation searches, threat investigation, and risk- based analysis capabilities that support these use cases.
Its Common Information Model helps normalize data from heterogeneous platforms so that searches and detections can operate consistently across different vendors.
Option A describes Static Application Security Testing (SAST). Option B refers to Configuration Management Database (CMDB) functionality.
Option C is more closely associated with Breach and Attack Simulation (BAS), adversary emulation, and security-control validation.
Although a SIEM can consume outputs from these technologies, its primary function remains the analysis and correlation of security events to identify suspicious behavior and support incident investigation.
Official reference / study topic: Splunk Common Information Model and Splunk Enterprise Security Detection and Investigation.
NEW QUESTION # 45
Which security tool should be implemented as a control during the code check-in and commit process to scan code for vulnerabilities?
Answer: A
Explanation:
A Static Application Security Tool scans source code or compiled code during development without executing the application. It is appropriate for code check-in and commit workflows because it can identify vulnerabilities early before the code is merged or deployed.
NEW QUESTION # 46
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