Splunk Updated SPLK-5001 Exam Questions and Answers by carmen

The key requirement is to calculate arunning total of distinct IP addressesover time, which involves both aggregation (stats dc(clientip) by _time) and cumulative calculation (streamstats dc(ipa) as "Cumulative total").

Option Acorrectly bins events by day (bin _time span=1d), calculates distinct counts (dc(clientip)) per day, and then applies streamstats to compute the running (cumulative) count across the timeline.

Option Bcalculates daily distinct counts but does not provide a running total.

Option Csimply formats a table without aggregation.

Option Daggregates by user, not by day, and misses cumulative counts.

TheSplunk Search Manualrecommends using streamstats with distinct count fields to obtain running totals for time series data.

An event where a user authenticates from geographically distant locations within an impossibly short timeframe is classified as anAccess Anomaly. This type of anomaly reflects unusual or suspicious access behavior that deviates from normal user patterns.

Access Anomaliestypically focus on login behavior, including impossible travel, unusual times, or atypical locations.

Identity Anomaliesrelate to suspicious behavior linked to user identities but are broader than access specifics.

Endpoint Anomaliesfocus on device or host irregularities.

Threat Anomaliesrefer to indications of malicious activity detected by threat intelligence or detection content.

Splunk’sEnterprise Security documentationcategorizes impossible travel as a classic Access Anomaly, frequently flagged by correlation searches and triggering notable events.

The step-by-step description provided is an example of aTechniqueas defined in the MITRE ATT&CK framework. Techniques are the specific methods adversaries use to achieve their objectives during an attack, such as establishing command and control (C2) channels or delivering payloads via phishing emails. In this scenario, the attacker uses a non-default beacon profile in Cobalt Strike, sends a malicious document via email, and establishes a C2 channel once the victim interacts with the document, all of which are examples of adversary techniques.

TheData Inventoryfeature in Splunk Security Essentials provides analysts with a comprehensive listing of all currently onboarded data sources within the Splunk environment. This enables users to quickly identify what data is available for security use cases, allowing targeted viewing and analysis based on the indexed datasets.

Data Inventoryconsolidates metadata about indexes, sourcetypes, and data volume, helping analysts understand their security coverage.

Security Data Journeyis a guided workflow for progressing through security content and maturity but does not specifically list data sources.

Security Contentrefers to detection content like correlation searches, dashboards, and reports.

Data Source Onboarding Guideshelp users onboard new data sources but do not reflect the current onboarded data inventory.

TheSplunk Security Essentials documentationhighlights Data Inventory as a key tool for bridging visibility gaps and accelerating content deployment aligned with available data.