Splunk Updated SPLK-5003 Exam Questions and Answers by peggy

An active/active cluster is designed to maintain multiple operational service instances that process workloads simultaneously, providing redundancy and supporting continuous service availability.

In an active/active architecture, traffic can be distributed across healthy nodes using load-balancing mechanisms. If one node fails or requires maintenance, the remaining nodes can continue processing requests without waiting for a passive replacement to become operational.

This makes active/active clustering particularly appropriate for applications requiring low latency, resilience, and minimal interruption.

For example, a security gateway deployment supporting a high-volume application may distribute requests across several active instances. When a node becomes unavailable, traffic can be redirected to the remaining healthy instances.

However, achieving genuinely uninterrupted operation also requires appropriate session handling, connection draining, health checks, capacity planning, and redundant supporting infrastructure.

An active/passive cluster provides redundancy but can introduce a failover interval while the standby node assumes responsibility.

A distributed architecture may improve scalability, but distribution alone does not guarantee continuous service during failures.

A diffused cluster is not a conventional high-availability deployment model in this context.

Consequently, active/active clustering most directly satisfies the requirement for resilient, low-latency processing during device failures and planned maintenance.

Official reference / study topic: Splunk certification blueprint, Security Capability Selection: high availability and resilience.

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A formal business case is the most effective mechanism for establishing management commitment, securing funding, and ensuring that regulatory and security-control requirements are incorporated into the proposed SaaS environment.

The business case should identify the applicable framework, required control objectives, implementation costs, operational dependencies, compliance obligations, and consequences of noncompliance.

It should also define ownership, implementation milestones, resource requirements, residual risks, and the expected organizational benefits of achieving the required compliance posture.

For example, PCI DSS obligations may require network segmentation, access restrictions, logging, vulnerability management, and periodic security testing. ISO/IEC 27001 requires an information security management system supported by risk assessment, risk treatment, documented governance, and appropriate controls.

These requirements introduce costs that must be incorporated into project planning rather than treated as optional enhancements after deployment.

A red team assessment can identify weaknesses but does not independently establish funding or governance approval.

Revenue projections may support economic justification, but mandatory security requirements cannot simply be reduced because a product generates insufficient revenue.

Ticketing systems are useful for tracking implementation tasks but cannot replace executive sponsorship, financial authorization, or a documented compliance strategy.

Official reference / study topic: Splunk certification blueprint, Governance Risk and Compliance Objectives 6.3–6.5; compliance control funding.

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Passive network monitoring through a network tap provides an effective means of observing activity associated with legacy systems that cannot support modern endpoint agents or log-forwarding technologies.

A network tap produces a copy of network traffic without requiring software installation or configuration changes on the monitored server.

This is particularly valuable for unsupported operating systems where installing additional components could cause instability, introduce compatibility problems, or be technically impossible.

A network-monitoring sensor can analyze the copied traffic to identify suspicious connections, unusual protocols, command-and-control activity, scanning attempts, and potentially unauthorized data transfers.

Relevant network metadata and security findings can subsequently be integrated into Splunk for correlation with other infrastructure events.

Splunk Enterprise Security supports network traffic analysis using packet capture and network telemetry to provide investigative context beyond conventional log records.

Because the application processes sensitive information, monitoring architecture must also enforce strict access controls, secure collection, and appropriate handling of captured data.

Network monitoring has limitations. Encrypted payloads may not be inspectable, and events occurring entirely within the server may remain invisible.

Scheduled log reviews do not provide continuous monitoring. Disconnecting the server would compromise its intended availability, while installing security software is incompatible with the scenario ' s stated restrictions.

Official reference / study topic: Splunk Enterprise Security, Traffic Dashboard and network telemetry; legacy asset monitoring.

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Splunk Attack Analyzer is designed to investigate suspicious files, URLs, and potentially malicious content through automated analysis. It can reveal additional indicators and behavioral characteristics that are not immediately visible during initial alert triage.

When an analyst submits a suspicious payload, Attack Analyzer examines supported artifact types to identify malicious or suspicious components, embedded instructions, network destinations, and related activity.

Depending on the payload and enabled analysis capabilities, results may expose file hashes, suspicious domains, external IP addresses, script behavior, embedded URLs, and indicators associated with subsequent attack stages.

These findings can support indicator enrichment, threat hunting, detection engineering, and additional incident investigations.

Splunk Attack Analyzer also provides analysis outputs that can help analysts understand adversary tactics and techniques. Identified indicators should be reviewed and validated before being incorporated into blocking policies or enterprise-wide detection rules.

Splunk Intelligence Management primarily supports threat-intelligence aggregation, curation, and operational integration. Mission Control provides unified security operations workflows, while Behavioral Analytics focuses on identifying suspicious behavior through analytical techniques.

Neither is the most direct capability for examining an individual malicious payload to discover additional artifacts.

Therefore, Splunk Attack Analyzer is the appropriate selection.

Official reference / study topic: Splunk Attack Analyzer, Search in Splunk Attack Analyzer and IOCs and Recommendations.

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