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Splunk SPLK-5001 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Asset-Based Detection Tactics	10-15%	- Asset Lookup and Enrichment 1. Automatic Asset Correlation (AAC) 2. Whitelisting and exclusions 3. Asset Identity Resolution - Behavioral Baselines and Profiling 1. Statistical deviation detection 2. Session and sequence analysis
Topic 2: Incident Investigation and Response	15-20%	- Investigation Workflow 1. Network and endpoint artifact extraction 2. Kill chain analysis 3. Event sequencing and timeline analysis - Advanced Threat Scenarios 1. Privilege escalation detection 2. C2 (Command and Control) detection 3. Data exfiltration indicators 4. Lateral movement patterns
Topic 3: Splunk Enterprise Security (ES) Fundamentals	15-20%	- Security Posture and Dashboard Navigation 1. Incident Review dashboard 2. Drill-down workflows 3. Investigation timeline views - ES Architecture and Components 1. Correlation searches and Notable Events 2. ES modules overview (DA-ESS*) 3. ES Indexes and Data Models 4. Asset and Identity Management
Topic 4: Advanced Content Development	15-20%	- Correlation Search Development 1. Search Scheduling and Earliest Time 2. Notable Event Suppression logic 3. Adaptive Response Actions - Custom Detections 1. Anomaly score calculations 2. SPL-based detection logic 3. Risk-based alert modifications
Topic 5: Enterprise Security Administration	10-15%	- Monitoring and Health 1. ES Health Score dashboard 2. Key Metric monitoring 3. Index and forwarder validation - ES Configuration and Tuning 1. False positive management 2. DA-ESS-Policies configuration 3. Correlation Search threshold tuning
Topic 6: Threat Intelligence Integration	10-15%	- TTP Mapping and MITRE ATT&CK 1. DA-ESS-ThreatIntelligence content pack 2. Tactic and technique correlation 3. MITRE ATT&CK Framework alignment - Threat Artifacts Management 1. Threat List (DA-ESS-ThreatIntelligence) 2. STIX/TAXII integration 3. IOC ingestion and parsing
Topic 7: Splunk Search Processing Language (SPL) for Security	20-25%	- Security-Specific SPL Patterns 1. Subsearch patterns for threat chaining 2. Macro creation and usage (\|sendalert) 3. Time-based correlation searches 4. Field transformations and CIM compliance - Advanced SPL Commands 1. appendcols, join, union 2. rex (regex field extraction) 3. transaction, stats, eventstats 4. lookup, inputlookup, outputlookup

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q54-Q59):

NEW QUESTION # 54
A threat hunter is analyzing incoming emails during the past 30 days, looking for spam or phishing campaigns targeting many users. This involves finding large numbers of similar, but not necessarily identical, emails. The hunter extracts key datapoints from each email record, including the sender's address, recipient's address, subject, embedded URLs, and names of any attachments. Using the Splunk App for Data Science and Deep Learning, they then visualize each of these messages as points on a graph, looking for large numbers of points that occur close together. This is an example of what type of threat-hunting technique?

A. Least Frequency of Occurrence Analysis
B. Clustering
C. Most Frequency of Occurrence Analysis
D. Time Series Analysis

Answer: B

NEW QUESTION # 55
A Cyber Threat Intelligence (CTI) team delivers a briefing to the CISO detailing their view of the threat landscape the organization faces. This is an example of what type of Threat Intelligence?

A. Operational
B. Executive
C. Strategic
D. Tactical

Answer: C

NEW QUESTION # 56
What is the recommended approach when handling a security incident?

A. Rely solely on antivirus software.
B. Follow a pre-defined incident response plan.
C. Take immediate actions based on intuition.
D. Ignore the incident if it seems minor.

Answer: B

NEW QUESTION # 57
After discovering some events that were missed in an initial investigation, an analyst determines this is because some events have an empty src field. Instead, the required data is often captured in another field called machine_name.
What SPL could they use to find all relevant events across either field until the field extraction is fixed?

A. | eval src = tostring(machine_name)
B. | eval src = src . machine_name
C. | eval src = coalesce(src,machine_name)
D. | eval src = src + machine_name

Answer: C

NEW QUESTION # 58
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?

A. When a Notable Event is triggered.
B. When the malicious event occurs.
C. When the end users are notified about the issue.
D. When the SOC Manager is informed of the issue.

Answer: A

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 # 59
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