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Question 361. Which CIM model covers login activity?

1. Web
2. Malware
3. Authentication
4. Change

Correct Answer: 3. Authentication

Explanation:

The Authentication data model describes login and authentication activity from different data sources. It provides normalized fields such as user, src, authentication method, application, action, and other contextual information. Normalization allows analysts to investigate authentication behavior consistently even when data comes from different operating systems, cloud providers, VPN products, or identity systems. For example, searches for failed logins can use normalized Authentication fields instead of requiring separate vendor-specific searches. Splunk’s current CIM documentation specifically defines the Authentication model as describing login activities from any data source.

Question 362. What does the CIM user field represent in Authentication?

1. User involved in authentication
2. Destination server only
3. Source port
4. Detection signature

Correct Answer: 1. User involved in authentication

Explanation:

Within the Authentication data model, user identifies the account or user involved in the authentication event. This can represent the account attempting to log in or, for some privilege-escalation events, the identity targeted by the escalation. Normalizing usernames into a common user field makes cross-source investigation easier because identity activity can be summarized consistently across VPN, Windows, cloud, and application authentication sources. Splunk marks user as an important Authentication field and describes it as the actual user string or identifier involved in the event.

Question 363. Which model describes network flows?

1. Email
2. Endpoint
3. Authentication
4. Network Traffic

Correct Answer: 4. Network Traffic

Explanation:

The Network Traffic data model describes flows of data across network infrastructure. It commonly contains normalized information such as source and destination addresses, ports, protocol, bytes transferred, direction, interfaces, and connection action. Analysts can use this model to investigate unusual outbound connections, lateral movement patterns, unexpected ports, or large transfers. It differs from Intrusion Detection because Network Traffic focuses mainly on connection activity and rule-based allow or deny decisions, while Intrusion Detection represents more complex signature or behavioral detection events.

Question 364. What does bytes_out describe?

1. Authentication failures
2. Outbound byte volume
3. Malware count
4. DNS query count

Correct Answer: 2. Outbound byte volume

Explanation:

The normalized bytes_out field represents the volume of data sent outbound in supported CIM models such as Network Traffic and Web. This field is particularly useful during security investigations involving possible exfiltration because analysts can compare outbound transfer sizes across systems, users, destinations, or time periods. A high bytes_out value is not automatically malicious, but unusual increases compared with a baseline may warrant investigation. Splunk’s CIM field reference identifies bytes_out as a standardized field used across both Network Traffic and Web data.

Question 365. Which model covers endpoint processes and files?

1. Endpoint
2. Email
3. Vulnerabilities
4. DNS

Correct Answer: 1. Endpoint

Explanation:

The Endpoint data model is designed for monitoring endpoint clients and includes security-relevant activity involving processes, services, files, ports, and related endpoint behavior. This makes it useful for investigations involving suspicious process launches, malicious files, service creation, or other activity on laptops, workstations, and similar devices. Splunk distinguishes this from the Change model: Endpoint focuses on endpoint activity itself, while Change.Endpoint is intended for administrative or policy changes involving endpoint and infrastructure systems.

Question 366. What does Endpoint Processes describe?

1. Email filtering
2. DNS replies
3. Vulnerability severity
4. Process launch activity

Correct Answer: 4. Process launch activity

Explanation:

The Processes dataset within the Endpoint model is intended to describe process launch activity. Analysts can use process events to identify suspicious executables, unusual parent-child relationships, command-line activity, or software running from unexpected paths. Splunk specifically notes that its process and service datasets represent the launch of processes and services rather than continuously observing a process that is already running. Endpoint process telemetry is therefore especially useful for investigating malware execution, administrative-tool abuse, and other endpoint attack behaviors.

Question 367. Which model describes DNS traffic?

1. Network Traffic
2. Network Resolution
3. Web
4. Change

Correct Answer: 2. Network Resolution

Explanation:

The Network Resolution data model describes DNS traffic between clients and servers and between DNS servers. Normalized fields include query, query_type, src, dest, message type, transaction ID, response time, transport, and TTL. Security analysts can use these fields to hunt for suspicious domains, unusually high query volumes, NXDOMAIN patterns, or DNS activity associated with malware infrastructure. Splunk’s current documentation identifies Network Resolution as the CIM data model specifically intended to represent DNS traffic.

Question 368. What does the DNS query field contain?

1. Response size
2. Destination port
3. Domain being resolved
4. User identity

Correct Answer: 3. Domain being resolved

Explanation:

The query field in the Network Resolution DNS dataset contains the domain name that the client or server is attempting to resolve. It applies to DNS messages identified as queries. Analysts can use this field to investigate access to malicious domains, rare domains, algorithmically generated names, or unexpected external services. Normalizing DNS requests into the query field allows the same hunt to work across different DNS logging technologies rather than requiring vendor-specific field names. Splunk lists query as a recommended DNS data-model field.

Question 369. Which model describes IDS or IPS detections?

1. Endpoint
2. Authentication
3. Network Traffic
4. Intrusion Detection

Correct Answer: 4. Intrusion Detection

Explanation:

The Intrusion Detection data model describes attack-detection events generated by network monitoring devices and applications such as IDS and IPS technologies. These systems examine traffic for signatures or suspicious patterns rather than simply enforcing basic connection rules. Splunk distinguishes Intrusion Detection from Network Traffic by noting that IDS or IPS systems can continuously inspect traffic and block it during an established connection based on known signatures or malicious patterns. This model is therefore appropriate for normalized intrusion alerts and network attack detections.

Question 370. What mainly distinguishes Intrusion Detection from Network Traffic?

1. Complex pattern detection
2. Username normalization
3. Email delivery status
4. Vulnerability scoring

Correct Answer: 1. Complex pattern detection

Explanation:

Network Traffic primarily represents network connection activity and decisions made from relatively straightforward parameters such as addresses, ports, and protocol information. Intrusion Detection represents security decisions based on more complex traffic patterns, known signatures, or behaviors observed as traffic is inspected. An IDS or IPS may therefore detect and block suspicious activity even after a connection has already been established. Splunk explicitly highlights this difference between the two CIM models, which helps analysts choose the appropriate normalized dataset for searches and detections.

Question 371. Which model covers antivirus detections?

1. Change
2. Web
3. Malware
4. Email

Correct Answer: 3. Malware

Explanation:

The Malware data model describes malware detection and endpoint-protection management activity. Splunk notes that it is commonly used for antivirus-related events. The Malware_Attacks dataset supports searches and alerts for potential infections, while Malware_Operations focuses on the operational status and health of anti-malware products. Analysts can use the model to normalize malware names, affected systems, files, actions, and other detection details across different security products, making malware investigations and alerting more consistent.

Question 372. What is Malware_Attacks mainly used for?

1. DNS monitoring
2. Potential malware infections
3. Account creation
4. Email routing

Correct Answer: 2. Potential malware infections

Explanation:

The Malware_Attacks dataset is primarily intended for searching for and alerting on possible malware infections. Events mapped into this dataset describe actual malware-related security activity rather than only the operational state of the protection product. Splunk distinguishes it from Malware_Operations, which is intended to monitor antivirus or anti-malware product health and operational status. This distinction helps analysts separate malware detection events from events describing whether defensive software is installed, enabled, updated, or functioning properly.

Question 373. Which model covers email traffic?

1. Web
2. Authentication
3. Endpoint
4. Email

Correct Answer: 4. Email

Explanation:

The Email data model describes email traffic between servers and between clients and servers. It provides normalized datasets for aspects such as delivery, content, and filtering. Security analysts can use normalized email data to investigate phishing, malicious attachments, suspicious senders, unusual delivery patterns, or messages blocked by filtering systems. Common CIM fields can include information about users, files, URLs, filter actions, and delivery timing. Normalization makes it possible to build email-focused security searches that work across multiple mail-security or messaging products.

Question 374. Which Email dataset relates to filtering?

1. Filtering
2. Processes
3. Authentication
4. Vulnerabilities

Correct Answer: 1. Filtering

Explanation:

The Email data model includes a Filtering dataset for events related to email filtering activity. Splunk identifies the relevant dataset tag as filter. This can include security controls that inspect or classify email and take actions based on spam, malware, policy, or other filtering decisions. Fields such as filter_action and filter_score are associated with the Email model. Analysts investigating phishing or malicious email can use filtering events alongside delivery and content information to understand how the message was processed by defensive controls.

Question 375. Which model describes web and proxy traffic?

1. Change
2. Web
3. Inventory
4. Malware

Correct Answer: 2. Web

Explanation:

The Web data model describes web-server and proxy-server activity in security and operational contexts. Common normalized fields include HTTP method, URL, URI path, user agent, referrer, content type, status-related information, bytes, source, destination, and user. This makes the model useful for investigating suspicious browsing, malicious downloads, command-and-control traffic over HTTP, access to unusual domains, or web application attacks. Splunk documents separate Web datasets and tags, including a Proxy dataset for proxy-related activity.

Question 376. Which field identifies an HTTP request method?

1. file_hash
2. query_type
3. http_method
4. authentication_method

Correct Answer: 3. http_method

Explanation:

The normalized http_method field belongs to the Web data model and represents the HTTP method associated with a web request, such as GET, POST, PUT, or DELETE. Analysts can use it when investigating unusual web activity, data uploads, API abuse, or suspicious application behavior. For example, an unexpected increase in POST requests to a rarely used endpoint may warrant further investigation. Standardizing this information through CIM allows detections to work across different web servers, proxies, and security products.

Question 377. Which model records administrative changes?

1. Web
2. Change
3. Malware
4. DNS

Correct Answer: 2. Change

Explanation:

The Change data model describes create, read, update, and delete activities from different data sources and is especially relevant to administrative and policy changes. Splunk explains that Change.Endpoint is appropriate for administrator-type modifications involving devices, servers, cloud environments, and endpoint security systems. Analysts can use this model to investigate account changes, configuration modifications, security-policy adjustments, or other potentially sensitive administrative activity. It should not be confused with the Endpoint model, which focuses on endpoint processes, services, files, and related operational activity.

Question 378. Which model contains cve and cvss fields?

1. Authentication
2. Email
3. Endpoint
4. Vulnerabilities

Correct Answer: 4. Vulnerabilities

Explanation:

The Vulnerabilities data model describes vulnerability-detection information. Splunk’s CIM field reference associates standardized cve and cvss fields with this model, allowing vulnerability identifiers and severity information to be normalized across different scanning or assessment products. Security analysts can correlate vulnerability data with asset context, threat intelligence, and observed attack activity to improve prioritization. A vulnerability event does not necessarily indicate active exploitation, so the model is most useful when combined with other evidence during investigation and risk assessment.

Question 379. What is a major benefit of CIM field normalization?

1. Consistent searches across products
2. Automatic malware removal
3. Unlimited data retention
4. Automatic password resets

Correct Answer: 3. Consistent searches across products

Explanation:

CIM normalization maps equivalent information from different products into consistent field names and data models. For example, several vendors may use different raw names for a source address, username, action, or destination, but normalized data can present those values through standardized CIM fields. This allows analysts to write one security search that works across multiple technologies rather than maintaining separate logic for every vendor. Splunk describes CIM as a shared semantic model designed to provide consistent normalized treatment of data at search time.

Question 380. What BEST supports CIM search performance?

1. Constrain relevant indexes
2. Search every index
3. Remove required tags
4. Disable normalization

Correct Answer: 1. Constrain relevant indexes

Explanation:

Splunk recommends constraining the indexes searched by CIM data models when the relevant data locations are known. Index constraints reduce unnecessary searching and can improve data-model performance by limiting processing to indexes that actually contain matching events. The CIM setup also supports tag allowlists and data-model acceleration settings. Splunk warns that required tags should not be removed from model configuration because searches depending on those tags can fail. For efficient security analytics, analysts and administrators should combine correct normalization with appropriate index constraints and acceleration.