SPLK-3001 Latest Study Questions - Latest SPLK-3001 Real Test

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Splunk SPLK-3001 Exam Syllabus Topics:

SectionObjectives
Topic 1: Incident Review- Security Operations
  • 1. Incident Review Dashboard
  • 2. Workflow Configuration
  • 3. Event Triage
Topic 2: Installation and Configuration- Enterprise Security Architecture
  • 1. Configure ES Components
  • 2. Install Splunk Enterprise Security
Topic 3: Asset and Identity Framework- Context Enrichment
  • 1. Data Enrichment Configuration
  • 2. Identity Management
  • 3. Asset Management
Topic 4: Data Management- Data Onboarding
  • 1. Manage CIM Compliance
  • 2. Configure Data Models
  • 3. Validate Data Sources
Topic 5: Threat Intelligence- Threat Framework
  • 1. Threat Intelligence Sources
  • 2. Threat Artifact Management
  • 3. Threat Matching
Topic 6: Dashboards and Monitoring- Administration and Health
  • 1. ES Health Monitoring
  • 2. Security Dashboards
  • 3. Content Management
Topic 7: Correlation Searches and Notable Events- Detection Management
  • 1. Manage Notable Events
  • 2. Configure Correlation Searches
  • 3. Risk-Based Alerting Fundamentals

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Splunk Enterprise Security Certified Admin Exam Sample Questions (Q84-Q89):

NEW QUESTION # 84
Which of the following are examples of sources for events in the endpoint security domain dashboards?

Answer: A

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/ES/6.1.0/User/EndpointProtectionDomaindashboards


NEW QUESTION # 85
After managing source types and extracting fields, which key step comes next In the Add-On Builder?

Answer: D


NEW QUESTION # 86
Which of the following ES features would a security analyst use while investigating a network anomaly notable?

Answer: A

Explanation:
Reference:
https://www.splunk.com/en_us/products/premium-solutions/splunk-enterprise-security/ features.html


NEW QUESTION # 87
Which of these Is a benefit of data normalization?

Answer: C

Explanation:
Explanation
According to the Splunk Enterprise Security documentation, one of the benefits of data normalization is that searches can be built no matter the specific source technology for a normalized data type. Data normalization is a way to ingest and store data in the Splunk platform using a common format for consistency and efficiency.
When data is normalized, it follows the same field names and event tags for equivalent events from different sources or vendors. This allows you to perform cross-source analysis and correlation of security events without worrying about the differences in data formats. For example, if you have data from Windows, Linux, and Mac OS systems, you can normalize them using the Endpoint data model and use the same fields, such as ,
, and , to search for endpoint events across all systems. Therefore, the correct answer is C. Searches can be built no matter the specific source technology for a normalized data type. References = Data sources and normalization Splunk Common Information Model Add-on Onboarding data to Splunk Enterprise Security


NEW QUESTION # 88
Which of the following is a Web Intelligence dashboard?

Answer: B

Explanation:
Explanation
According to the Splunk Enterprise Security documentation, the HTTP Category Analysis dashboard is one of the Web Intelligence dashboards that help you analyze web traffic in your network and identify notable HTTP categories, user agents, new domains, and long URLs. The dashboard shows the top HTTP categories by bytes, requests, and users, and allows you to filter the data by time range, category, user, and domain. The dashboard also provides drilldown links to other dashboards, such as the Web User Agent Analysis dashboard and the Web Domain Analysis dashboard, for further analysis. Therefore, the correct answer is C. HTTP Category Analysis. References = Web Intelligence dashboards.


NEW QUESTION # 89
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