SPLK-5003 exam study material & SPLK-5003 exam guide files & SPLK-5003 latest pdf vce

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Splunk SPLK-5003 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Advanced Automation and Orchestration	10%	- SOAR architecture 1. Workflow automation 2. Security orchestration 3. Playbook design
Topic 2: Advanced Threat Intelligence and Analysis	5%	- Threat intelligence architecture 1. Threat-informed defense 2. Threat intelligence integration 3. Advanced threat analysis
Topic 3: Measuring and Improving Security Program Effectiveness	15%	- Security metrics and performance 1. Continuous improvement processes 2. Risk measurement 3. Program maturity assessment
Topic 4: Scaling Cybersecurity Defenses and DevSecOps	15%	- Security architecture at scale 1. Scalable defense strategies 2. DevSecOps integration 3. Enterprise security operations design
Topic 5: Advanced Incident Response and Management	10%	- Incident response architecture 1. Incident management optimization 2. Response workflows 3. Investigation processes
Topic 6: Security Data Management	20%	- Data architecture design 1. Security data onboarding and normalization 2. Data quality and governance 3. Data lifecycle management
Topic 7: Governance, Risk and Compliance	10%	- Security governance 1. Risk management frameworks 2. Compliance requirements 3. Policy alignment
Topic 8: Security Capability Selection, Placement and Configuration	15%	- Security control architecture 1. Capability integration 2. Control placement strategies 3. Technology selection

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Splunk Certified Cybersecurity Defense Architect Sample Questions (Q158-Q163):

NEW QUESTION # 158
Which of the following can be used to identify weak passwords? (Choose all that apply.)

A. ntdsutil
B. Hashcat
C. Bloodhound
D. Idifde

Answer: A,B

Explanation:
Weak passwords can be identified by obtaining password hashes from Active Directory data and attempting to crack them in an authorized audit. ntdsutil can support extraction of the Active Directory database for offline analysis, while Hashcat can test the recovered hashes against dictionaries, rules, and brute-force patterns to find weak or easily guessable passwords.

NEW QUESTION # 159
Which of the following best explains how quantifying the financial impact of a cybersecurity incident can help justify and secure additional budget for the cybersecurity team? (Choose all that apply.)

A. It shows that cybersecurity incidents are unavoidable, so additional budget is necessary.
B. It indicates that only technical improvements matter, not financial considerations.
C. It demonstrates the potential cost savings by preventing incidents, making a strong business case for increased funding.
D. It highlights that cybersecurity spending should be reduced to save costs.

Answer: C

Explanation:
Quantifying financial impact translates cybersecurity risk into business terms, showing how investment can reduce expected losses from incidents. This makes it easier to justify additional budget by demonstrating potential cost avoidance, risk reduction, and measurable business value.

NEW QUESTION # 160
What strategies enable data-driven approaches to evaluating tool efficacy? (Choose all that apply.)

A. Continuous operational monitoring and metrics collection
B. Early identification of prioritized requirements and use cases
C. Clearly defined outcomes and success criteria
D. Relying on public testimonials and vendor marketing materials

Answer: A,B,C

Explanation:
Data-driven evaluation requires clear success criteria, prioritized requirements tied to real use cases, and ongoing metrics collection after deployment. These practices make it possible to measure whether a tool is actually improving security operations, meeting business needs, and delivering measurable value.

NEW QUESTION # 161
An organization is ingesting firewall logs from three different vendors. The security operations team reports that dashboard panels and correlation searches related to network traffic are missing data from two of the vendors. What is the most likely cause of this issue, and how should the architect resolve it?

A. The logs from the two vendors do not comply with the Splunk Common Information Model (CIM); the architect should create or modify Field Aliases and Eventtypes to map the data to the Network Traffic data model.
B. Splunk Enterprise Security does not support multiple firewall vendors simultaneously; the architect must use a third-party syslog aggregator.
C. The data is not being indexed; the architect should check the Heavy Forwarder configurations.
D. The firewalls are using different timezone settings; the architect should standardize the timezones on the firewalls.

Answer: A

Explanation:
Splunk Enterprise Security relies heavily on the Common Information Model (CIM) to normalize data from disparate sources. If firewall logs from different vendors are not mapped properly to the Network Traffic data model (via tags, eventtypes, and field aliases), they will not appear in CIM-dependent dashboards or correlation searches.

NEW QUESTION # 162
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.)

A. Active Directory Logs
B. EDR Logs
C. DLP Logs
D. Sysmon Logs

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 # 163
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