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NEW QUESTION # 103
An engineer wants to track and report on all authentication to corporate assets, and wants to prioritize critical assets without significantly increasing the number of findings (notable events) generated. What process could be used to accomplish this goal?
Answer: A
Explanation:
By adding all access attempts to the Risk Index and then increasing the Criticality of critical assets, the engineer ensures all authentication activity is tracked while prioritizing findings involving high-value assets. This approach leverages risk-based alerting without flooding the SOC with unnecessary notable events.
NEW QUESTION # 104
Based on a recent red team exercise, an organization is highly concerned about pass the hash attacks especially including tools like Empire. Which Eventcode associated to PowerShell Script Block Logging would be used to detect this activity?
Answer: C
Explanation:
EventCode=4104 is associated with PowerShell Script Block Logging, which records the full content of executed PowerShell scripts. This is critical for detecting malicious frameworks like Empire that rely on PowerShell for pass-the-hash and other attack techniques.
NEW QUESTION # 105
An engineer creates a new event type. What defines the association of this event type to an applicable data model?
Answer: B
Explanation:
The tag or tags assigned to an event type establish its semantic association with the appropriate Common Information Model data-model dataset. Splunk CIM commonly uses event types together with tags to classify heterogeneous events into standardized categories.
An event type itself is defined by a search expression that identifies matching events, but the search string does not by itself establish CIM data-model membership. After the event type has been created, the appropriate CIM tag-such as one representing authentication, network traffic, change activity, or another normalized domain-is applied. Data-model dataset constraints can then recognize events carrying the required tag.
Field aliases serve a different purpose: they map source-specific field names to normalized CIM field names.
They are essential for schema normalization but do not determine the event type ' s association with a data model. Similarly, a saved-search name has no role in assigning CIM dataset membership.
The supplied Cybersecurity Defense Engineer material explicitly tests the same architectural concept by identifying tags as the construct that ensures events from different sources participate in an applicable CIM data model.
Study Guide topics: CIM, event types, tags, data-model constraints, field normalization, CIM dataset membership.
NEW QUESTION # 106
What is the main benefit of automating case management workflows in Splunk?
Answer: C
Explanation:
Automating case management workflows in Splunk streamlines incident response and reduces manual overhead, allowing analysts to focus on higher-value tasks.
Main Benefits of Automating Case Management:
Reduces Response Times (C)
Automatically assigns cases to analysts based on predefined rules.
Triggers playbooks and workflows in Splunk SOAR to handle common incidents.
Improves Analyst Productivity (C)
Reduces time spent on manual case creation and updates.
Provides integrated case tracking across Splunk and ITSM tools (e.g., ServiceNow, Jira).
NEW QUESTION # 107
Which sourcetype configurations affect data ingestion?(Choosethree)
Answer: A,C,D
Explanation:
The sourcetype in Splunk defines how incoming machine data is interpreted, structured, and stored. Proper sourcetype configurations ensure accurate event parsing, indexing, and searching.
#1. Event Breaking Rules (A)
Determines how Splunk splits raw logs into individual events.
If misconfigured, a single event may be broken into multiple fragments or multiple log lines may be combined incorrectly.
Controlled using LINE_BREAKER and BREAK_ONLY_BEFORE settings.
#2. Timestamp Extraction (B)
Extracts and assigns timestamps to events during ingestion.
Incorrect timestamp configuration leads to misplaced events in time-based searches.
Uses TIME_PREFIX, MAX_TIMESTAMP_LOOKAHEAD, and TIME_FORMAT settings.
#3. Line Merging Rules (D)
Controls whether multiline events should be combined into a single event.
Useful for logs like stack traces or multi-line syslog messages.
Uses SHOULD_LINEMERGE and LINE_BREAKER settings.
C: Data Retention Policies #
Affects storage and deletion, not data ingestion itself.
#Additional Resources:
Splunk Sourcetype Configuration Guide
Event Breaking and Line Merging
NEW QUESTION # 108
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