SPLK-5002 Valid Exam Preparation, SPLK-5002 Reliable Exam Review

The Splunk SPLK-5002 desktop-based practice exam software is beneficial for you to evaluate and enhance your knowledge before taking the Splunk Certified Cybersecurity Defense Engineer Exam Questions. All of the features of our online SPLK-5002 Practice Test software are included in our desktop windows-based Splunk SPLK-5002 practice exam software.

Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
Topic 2	Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
Topic 3	Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
Topic 4	Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
Topic 5	Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.

>> SPLK-5002 Valid Exam Preparation <<

Free PDF 2025 Splunk Valid SPLK-5002: Splunk Certified Cybersecurity Defense Engineer Valid Exam Preparation

In our lives, we will encounter many choices. Some choices are so important that you cannot treat them casually. The more good choice you choose in your life, the more successful you are. Perhaps our SPLK-5002 exam guide can be your correct choice. Our study guide is different from common test engine. Also, the money you have paid for our SPLK-5002 Study Guide will not be wasted. We sincerely hope that our test engine can teach you something. Of course, you are bound to benefit from your study of our SPLK-5002 practice material.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q81-Q86):

NEW QUESTION # 81
What is the role of aggregation policies in correlation searches?

A. To index events from multiple sources
B. To group related notable events for analysis
C. To normalize event fields for dashboards
D. To automate responses to critical events

Answer: B

Explanation:
Aggregation policies in Splunk Enterprise Security (ES) are used to group related notable events, reducing alert fatigue and improving incident analysis.
Role of Aggregation Policies in Correlation Searches:
Group Related Notable Events (A)
Helps SOC analysts see a single consolidated event instead of multiple isolated alerts.
Uses common attributes like user, asset, or attack type to aggregate events.
Improves Incident Response Efficiency
Reduces the number of duplicate alerts, helping analysts focus on high-priority threats.

NEW QUESTION # 82
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

A. Verifying authentication methods
B. Increasing indexer capacity
C. Testing API connectivity
D. Evaluating automated action performance
E. Monitoring data ingestion rates

Answer: A,C,D

Explanation:
Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
#Key Features for Validating Integrations
1##Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.).
Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2##Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3##Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform.
Helps optimize playbook execution time and response accuracy.
#Incorrect Answers & Explanations
B: Monitoring data ingestion rates # Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E: Increasing indexer capacity # This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
#Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations

NEW QUESTION # 83
Which REST API actions can Splunk perform to optimize automation workflows?(Choosetwo)

A. PUT for updating index configurations
B. GET for retrieving search results
C. POST for creating new data entries
D. DELETE for archiving historical data

Answer: B,C

Explanation:
The Splunk REST API allows programmatic access to Splunk's features, helping automate security workflows in a Security Operations Center (SOC).
Key REST API Actions for Automation:
POST for creating new data entries (A)
Used to send logs, alerts, or notable events to Splunk.
Essential for integrating external security tools with Splunk.
GET for retrieving search results (C)
Fetches logs, alerts, and notable event details programmatically.
Helps automate security monitoring and incident response.

NEW QUESTION # 84
What is the main purpose of Splunk's Common Information Model (CIM)?

A. To normalize data for correlation and searches
B. To create accelerated reports
C. To extract fields from raw events
D. To compress data during indexing

Answer: A

Explanation:
What is the Splunk Common Information Model (CIM)?
Splunk's Common Information Model (CIM) is a standardized way to normalize and map event data from different sources to a common field format. It helps with:
Consistent searches across diverse log sources
Faster correlation of security events
Better compatibility with prebuilt dashboards, alerts, and reports
Why is Data Normalization Important?
Security teams analyze data from firewalls, IDS/IPS, endpoint logs, authentication logs, and cloud logs.
These sources have different field names (e.g., "src_ip" vs. "source_address").
CIM ensures a standardized format, so correlation searches work seamlessly across different log sources.
How CIM Works in Splunk?
#Maps event fields to a standardized schema#Supports prebuilt Splunk apps like Enterprise Security (ES)
#Helps SOC teams quickly detect security threats
#Example Use Case:
A security analyst wants to detect failed admin logins across multiple authentication systems.
Without CIM, different logs might use:
user_login_failed
auth_failure
login_error
With CIM, all these fields map to the same normalized schema, enabling one unified search query.
Why Not the Other Options?
#A. Extract fields from raw events - CIM does not extract fields; it maps existing fields into a standardized format.#C. Compress data during indexing - CIM is about data normalization, not compression.#D. Create accelerated reports - While CIM supports acceleration, its main function is standardizing log formats.
References & Learning Resources
#Splunk CIM Documentation: https://docs.splunk.com/Documentation/CIM#How Splunk CIM Helps with Security Analytics: https://www.splunk.com/en_us/solutions/common-information-model.html#Splunk Enterprise Security & CIM Integration: https://splunkbase.splunk.com/app/263

NEW QUESTION # 85
What Splunk process ensures that duplicate data is not indexed?

A. Event parsing
B. Metadata tagging
C. Data deduplication
D. Indexer clustering

Answer: A

Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.

NEW QUESTION # 86
......

Our company has been putting emphasis on the development and improvement of SPLK-5002 test prep over ten year without archaic content at all. So we are bravely breaking the stereotype of similar content materials of the exam, but add what the exam truly tests into our SPLK-5002 Exam Guide. So we have adamant attitude to offer help rather than perfunctory attitude. We esteem your variant choices so all these versions of SPLK-5002 study materials are made for your individual preference and inclination.

SPLK-5002 Reliable Exam Review: https://www.actualpdf.com/SPLK-5002_exam-dumps.html