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| Section | Weight | Objectives |
|---|---|---|
| Security Data Management | 20% | - Security data integration strategies
|
| Security Architecture and Defense Design | - Risk and governance alignment
| |
| Security Operations Strategy | - Security operations planning
| |
| Advanced Threat Intelligence and Analysis | 5% | - Adversary modeling and emulation
|
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NEW QUESTION # 73
Which type of data does OpenTelemetry supply that the security team can use during an investigation?
Answer: C
Explanation:
OpenTelemetry is an open-source observability framework that enables applications and infrastructure to generate, collect, process, and export telemetry, including traces, metrics, and logs.
Distributed traces provide visibility into how individual requests move through interconnected application components and services.
A trace generally consists of related spans representing operations performed during a request ' s execution.
For example, a customer-facing transaction may generate spans associated with an API gateway, authentication service, application server, database, and downstream processing components.
During a security investigation, these traces can help analysts reconstruct execution paths, identify unusual service interactions, and correlate suspicious application behavior with other telemetry.
They can also reveal dependencies between services and help distinguish application failures from potentially unauthorized activities.
The OpenTelemetry specification defines traces through relationships between spans, enabling distributed request activity to be correlated across processing boundaries.
A Software Bill of Materials identifies software components and dependencies rather than runtime request execution.
Threat paths are typically derived from security graph analysis, exposure management, or adversary-path modeling.
Normalization refers to standardizing data representation and is not a distinct OpenTelemetry telemetry signal.
Therefore, traces are the appropriate selection.
OpenTelemetry traces should be correlated with identity, network, endpoint, and application security events to provide stronger investigative evidence.
Official reference / study topic: OpenTelemetry, Signals and Tracing Signal Specification.
NEW QUESTION # 74
The increasing rate of cyberattacks has caused many countries to enact laws and regulations concerning the collection, handling, and protection of their citizens' private information, regardless of where it is stored.
Which term best describes these laws?
Answer: A
Explanation:
Data sovereignty concerns the application of legal and regulatory authority to data, including requirements governing its collection, processing, access, protection, storage, and transfer.
The concept is particularly important for multinational organizations because information may be subject to legal obligations arising from the location of individuals, processing activities, service providers, or applicable jurisdictions.
For example, GDPR can apply to organizations outside the European Union when their activities meet specified territorial-scope conditions.
An organization cannot assume that relocating personal information to infrastructure in another country automatically removes applicable privacy obligations.
Data sovereignty considerations therefore influence cloud architecture, contractual arrangements, cross-border transfers, government-access requirements, and the selection of service providers.
Data residency , option A, refers more specifically to the geographic location where information is stored or processed.
Residency requirements may be one mechanism used to satisfy applicable legal obligations, but physical location and legal jurisdiction are not identical concepts.
Data shielding is not the standard term for the complete set of laws described.
Data providence is not the recognized legal concept in this context.
It is also important to distinguish data sovereignty from an unrestricted claim that every country ' s laws automatically apply to all information concerning its citizens everywhere. Legal applicability depends on the relevant statute and its jurisdictional provisions.
Official reference / study topic: Splunk Cybersecurity Defense Architect: Governance Risk and Compliance, Data Sovereignty and Residency.
NEW QUESTION # 75
A corporation elects to use a Request for Information (RFI) / Request for Proposal (RFP) process.
What is a key advantage of this type of formal procurement process?
Answer: B
Explanation:
A formal Request for Information (RFI) or Request for Proposal (RFP) process establishes a consistent framework for evaluating technology vendors against documented business, operational, security, and compliance requirements.
An RFI is generally used to gather market intelligence, understand available capabilities, and identify suppliers that may satisfy the organization ' s needs.
An RFP provides more detailed requirements and requests structured proposals covering technical functionality, implementation arrangements, support capabilities, commercial terms, and other evaluation criteria.
By requiring vendors to respond to a common set of questions, the procurement team can compare competing solutions using consistent assessment criteria.
For cybersecurity products, these criteria may include API integrations, deployment architecture, regulatory attestations, data residency, scalability, access controls, licensing, and operational support.
Weighted scoring models and proof-of-concept testing can subsequently validate vendor claims against actual technical performance.
Option B relies excessively on third-party analyst rankings, which cannot replace organization-specific requirements analysis.
Option C undermines comparability by allowing vendors to establish different evaluation frameworks.
Option D is inaccurate because formal procurement typically introduces documentation and review obligations rather than eliminating them.
The principal benefit is a transparent, structured, auditable decision-making process that reduces procurement risk.
Official reference / study topic: Splunk certification blueprint Objectives 8.3-8.5: formal procurement and technical vendor evaluation.
NEW QUESTION # 76
A security architect is designing a new enterprise network for an EU-based company that is subject to GDPR.
Which architectural strategy best supports GDPR principles of data minimization, access control, and privacy by design?
Answer: D
Explanation:
The General Data Protection Regulation establishes requirements for protecting personal information through appropriate technical and organizational controls.
GDPR Article 25 addresses data protection by design and by default, requiring organizations to incorporate privacy principles into systems and processing activities from their initial design.
Network segmentation supports these objectives by restricting access to systems that process personal data according to legitimate business requirements.
For example, human resources systems containing employee records should be accessible only to appropriately authorized individuals and services rather than to every device connected to the corporate network.
Role-based access controls, application-level authorization, and appropriate network restrictions can reduce opportunities for unauthorized disclosure.
Segmentation also limits lateral movement following a compromise, making it harder for attackers to reach systems containing sensitive information.
However, segmentation alone does not establish GDPR compliance. Data minimization additionally requires limiting the information collected and processed to what is necessary for specified purposes.
Option A may increase privacy exposure if centralized processing unnecessarily expands data collection or accessibility.
Option B provides excessive network trust and weak separation.
Option D may collect more personal information than necessary and introduce additional privacy and retention obligations.
Option C best aligns network access restrictions with GDPR ' s principles of purpose limitation, controlled accessibility, and privacy by design.
Official reference / study topic: GDPR Articles 5 and 25, data minimization and data protection by design and by default.
NEW QUESTION # 77
Which option is the most direct way to measure a detection-engineering practice to determine what gaps may exist in security controls and program effectiveness?
Answer: C
Explanation:
Detection-engineering effectiveness should be measured against the threats and risks the organization needs to address, rather than merely counting operational activity.
Mapping security controls and detection rules against frameworks such as MITRE ATT & CK enables architects to identify which adversary tactics and techniques have defensive coverage and which remain inadequately monitored.
This assessment should incorporate organizational threat models, critical assets, business processes, and risk tolerance. A detection that addresses a high-impact threat against a critical asset may provide substantially greater security value than several low-priority detections.
Splunk Enterprise Security Detection Studio provides capabilities for reviewing detection coverage and identifying gaps across MITRE ATT & CK techniques.
Mean Time to Detect is useful for understanding detection speed but does not establish whether the organization can detect the full range of relevant attack behaviors.
Similarly, the number of true-positive alerts measures observed detection outcomes rather than complete security coverage.
Counting detections produced per quarter is primarily a productivity measurement. It may encourage content creation without improving protection.
A stronger assessment combines ATT & CK coverage mapping, telemetry availability, adversary emulation, control validation, and risk-based prioritization.
Official reference / study topic: Splunk Enterprise Security Detection Studio, Monitor Detection Coverage and Health; Objective 7.4.
NEW QUESTION # 78
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