Splunk Cybersecurity Defense Architect Exam Syllabus

Use this quick start guide to collect all the information about Splunk Cybersecurity Defense Architect (SPLK-5003) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the SPLK-5003 Splunk Certified Cybersecurity Defense Architect exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Splunk Cybersecurity Defense Architect certification exam.

The Splunk Cybersecurity Defense Architect certification is mainly targeted to those candidates who want to build their career in Enterprise Security domain. The Splunk Certified Cybersecurity Defense Architect exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Splunk Cybersecurity Defense Architect.

Splunk Cybersecurity Defense Architect Exam Summary:

Exam Name	Splunk Certified Cybersecurity Defense Architect
Exam Code	SPLK-5003
Exam Price	$130 (USD)
Duration	75 mins
Number of Questions	67
Passing Score	700 / 1000
Schedule Exam	Pearson VUE
Sample Questions	Splunk Cybersecurity Defense Architect Sample Questions
Practice Exam	Splunk SPLK-5003 Certification Practice Exam

Splunk SPLK-5003 Exam Syllabus Topics:

Topic	Details	Weights
Advanced Threat Intelligence and Analysis	- Develop and implement customized threat intelligence strategies, including both open source and commercial intelligence providers. - Integrate threat intelligence, including all aspects of the lifecycle (evaluation, curation, maintenance, sources, confidence scoring, etc.), into broader security operations. - Integrate intelligence-informed advanced adversary emulation and threat modeling.	5%
Security Data Management	- Explain how to develop and implement integration strategies for data-driven security operations. - Identify data sources critical to cybersecurity operations, such as event sources, identity directories, asset management systems, and vulnerability assessments. This can include non-security data sources, eg. observability tools. - Identify high value / high signal / high noise data sources (e.g. Windows process vs EDR process flow, or network/VPC flow vs packet capture) and how they support security operations use cases. - Identify strategies to monitor an environment that requires nonstandard or out-of-band instrumentation and sensors, e.g. legacy data sources, OT/IC infrastructure environments. - Develop a data lifecycle management strategy, including retention, storage tiering, summarization, data residency, and access control. - Describe the value of data normalization in order to support integration into cybersecurity defense programs, such as security monitoring and threat hunting, e.g. with CIM, CEF. - Implement security analytics strategies beyond traditional SIEM such as advanced techniques like data science, machine learning, behavioral analysis, and AI. - Explain how cybersecurity defense data architectures scale using technologies and capabilities such as data mesh, data lakes, message bus, message routing, and federated search.	20%
Advanced Incident Response and Management	- Align cybersecurity incident response with an organization’s incident management, change management, and other ITSM/ITIL processes. - Develop a process to manage, coordinate, and communicate responses to large-scale security incidents. - Ensure appropriate technologies and processes are in place to support various forensics investigations.	10%
Advanced Automation and Orchestration	- Understand how an organization’s technical architectures, e.g. network design, enable or constrain security orchestration. - Develop complex/cross platform automation to orchestrate workflows for cybersecurity operations such as investigation, detection, and incident response. - Describe the benefits of an autonomous SOC, and strategies, processes, and technologies to develop one. - Leverage AI/ML for automated threat detection and response.	10%
Scaling Cybersecurity Defenses and DevSecOps	- Develop scalable strategies for agile and DevOps-driven cybersecurity defenses, such as detection as code. - Describe how to integrate security sensors and controls into DevOps workflows. - Describe how to create and leverage a SBOM (Software Bill of Materials) in cybersecurity defenses. - Describe continuous integration & deployment strategies for security data management and engineering solutions. - Describe how to develop and implement patterns, architecture blueprints, and “paved roads” to enable cybersecurity defenses to scale. - Understand how application and infrastructure architectures support cybersecurity defenses.	15%
Governance, Risk, and Compliance	- Explain how governmental directives and regulations guidance publications like NIST CSF help influence the design of defense capabilities. - Explain how regulations like GDPR affect cyber defense architecture in relation to data privacy impact on logging, data sovereignty, and data residency. - Explain how industry standard security frameworks (PCI, HIPAA, OT/IC, others) affect cyber defense architecture. - Define how security controls contribute to business operating cost and offsetting risk. - Explain how security technologies and controls fit into the organization’s Governance, Risk, and Compliance program and overall risk management.	10%
Measuring and Improving Security Program Effectiveness	- Explain how to define, measure, and report on metrics to assess and monitor a security program’s effectiveness. - Explain how a business’s risk tolerance informs a security program’s metrics. - Explain how Continuous Process Improvement can enrich and expand a metrics driven security program’s efficacy. - Explain how security controls are continually tested and gaps are remediated.	15%
Security Capability Selection, Placement, Configuration	- Identify organizational coverage for prevention, detection, response and recovery capabilities. - Determine how coverage gaps can be mitigated by architecture changes, config changes, or process changes. - Affect organizational and company priorities and budgets based on key capabilities required for security that are aligned to security and business goals. - Explain methodologies used to select security technologies aligned to business need, organizational technology landscape, and security controls. - Define technology implementation strategies to provide desired capabilities. - Ensure that resilient solutions aligned to the business and operational requirements are selected and deployed.	15%

To ensure success in Splunk Cybersecurity Defense Architect certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Splunk Certified Cybersecurity Defense Architect (SPLK-5003) exam.