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NEW QUESTION # 12
When setting up a data connector, which parser can be used to transform incoming data into searchable events that trigger detections in Next-Gen SIEM?
- A. Charlotte AI-generated parser
- B. Linux syslog parser
- C. VMWare ESXI parser
- D. CrowdStrike Parsing Standard (CPS) compliant parser
Answer: D
Explanation:
The correct answer is A. CrowdStrike Parsing Standard (CPS) compliant parser .
CrowdStrike's parsing documentation says CPS is used to normalize and validate data so field names and structures are standardized across data sources for more consistent searching and analysis . CPS-compliant parsers also require specific tags and field population rules, which is exactly what makes incoming data searchable and detection-ready in Falcon Next-Gen SIEM.
The other options are not the general standard CrowdStrike uses for detection-ready normalization:
* Charlotte AI-generated parser is not the documented parser standard.
* VMWare ESXI parser and Linux syslog parser may describe source-specific parsers, but the question asks for the parser type used generally to transform incoming data into normalized, searchable events. That is CPS.
NEW QUESTION # 13
An internal security team identified a small number of high-risk users. They ask you to create an app that will monitor these users and trigger an alert when specific suspicious behavior is detected.
Which Falcon feature should you use to develop this app?
- A. Falcon QueryBuilder
- B. Falcon Spotlight
- C. Falcon Foundry
- D. Charlotte AI
Answer: C
Explanation:
The correct answer is C. Falcon Foundry .
CrowdStrike describes Falcon Foundry as its application development platform for building custom apps on the Falcon platform. CrowdStrike's materials state that Falcon Foundry allows customers to quickly create their own apps, and the Foundry documentation/blog content shows it supports application logic and storage needed for custom workflows and monitoring use cases. That is exactly what fits a requirement to build an app that monitors a defined set of high-risk users and triggers alerts on suspicious activity.
Why the other options are incorrect:
Falcon QueryBuilder is for constructing queries, not building an application. Falcon Spotlight is CrowdStrike's vulnerability management capability, not an app-development framework. Charlotte AI is an AI assistant capability, not the platform feature used to develop custom monitoring apps. The only option that matches "develop this app" is Falcon Foundry .
NEW QUESTION # 14
Which CQL statement below includes correct placement of the AND statements and the pipe symbol?
- A. #sourcefile="jobfilename" | stdout=/\[[\+]\] / AND groupBy([hostname], function=collect([hostname, stdout] )) AND stdout ! = "" | stdout != "* No artifacts *" | select([hostname,stdout])
- B. #sourcefile="jobfilename" | stdout=/\[[\+]\] / | groupBy([hostname], function=collect([hostname,stdout] )) | stdout != "" AND stdout != "* No artifacts *" AND select([hostname,stdout])
- C. #sourcefile="jobfilename" AND stdout=/\[[\+]\] / | groupBy([hostname], function=collect([hostname, stdout] )) AND stdout != "" AND stdout != "* No artifacts *" | select([hostname,stdout])
- D. #sourcefile="jobfilename" AND stdout=/\[[\+]\] / | groupBy([hostname], function=collect([hostname, stdout] )) | stdout != "" AND stdout != "* No artifacts *" | select([hostname,stdout])
Answer: D
Explanation:
The correct answer is C . In CQL, boolean conditions such as AND belong inside filter expressions, while pipeline functions like groupBy() and select() must be separated with the pipe (|) operator. CrowdStrike syntax guidance shows that functions are chained through the pipeline and should not be combined with AND. Option C correctly uses AND for the filter logic and uses pipes to separate the aggregation and projection steps.
NEW QUESTION # 15
How does a first-party detection differ from a third-party detection?
- A. First-party detections are a higher severity than third-party detections and should be triaged first
- B. First-party detections can be seen by all users, while third-party detections require special roles and permissions to be viewed
- C. First-party detections are those native to the platform, while third-party detections are generated from data sources external to the platform
- D. First-party detections are those native to the platform, while third-party detections are those created by the customer's security team
Answer: C
Explanation:
The correct answer is D .
CrowdStrike's Falcon Next-Gen SIEM materials distinguish between CrowdStrike detections and third- party detections , and also state that Falcon Next-Gen SIEM extends data collection to third-party data sources . That means first-party detections are native to the Falcon platform, while third-party detections originate from data sources outside the platform that have been onboarded into Next-Gen SIEM.
Why the other options are incorrect:
A is wrong because third-party detections are not defined as detections created by the customer's team.
B is wrong because the distinction is not based on visibility permissions.
C is wrong because CrowdStrike does not define first-party detections as inherently higher severity than third- party detections.
NEW QUESTION # 16
Which function is most appropriate for extracting fields from logs formatted as key=value pairs?
- A. parseCsv()
- B. parseJson()
- C. kvParse()
- D. parseXml()
Answer: C
Explanation:
kvParse() is designed for logs that use key=value structure. It extracts the keys and values into searchable fields. parseJson() is for JSON objects, parseCsv() is for delimited positional records, and parseXml() is for XML-formatted content.
NEW QUESTION # 17
A correlation rule is generating a high volume of detections. You have been asked to temporarily deactivate it so your team can investigate.
What will happen to previously generated detections while the rule is in a deactivated state?
- A. Their status will change to closed and tagged as false positives in the console
- B. They will not be impacted and will remain within the console
- C. They will be immediately deleted from the console
- D. Their status will change to closed and tagged as true positives in the console
Answer: B
Explanation:
The correct answer is A . Deactivating a correlation rule stops it from generating new detections, but previously generated detections remain available in the console for review and investigation. Rule deactivation affects future rule execution state rather than retroactively changing, closing, or deleting detections that have already been created. That is why options B, C, and D are incorrect.
NEW QUESTION # 18
You want a Next-Gen SIEM dashboard to update automatically when new data is available.
Which action would you take?
- A. Toggle the "Live" button to on
- B. Change the "Relative Time Range" interval to 1 millisecond ago
- C. Change the "Start Time" interval to 1 hour
- D. Change the "Fixed Time Range" to the current date
Answer: A
Explanation:
The correct answer is A . CrowdStrike LogScale documentation says the Live checkbox controls whether dashboard widget queries run as live or static queries. When enabled, the dashboard continuously updates with real-time data , which is exactly what the question asks for.
NEW QUESTION # 19
Which combination of scope and permissions must be configured to create an API token that allows you to create and get the results of a query job in Next-Gen SIEM?
- A. NGSIEM with read permissions only
- B. NGSIEM with both write and execute permissions
- C. NGSIEM with both read and write permissions
- D. NGSIEM with write permissions only
Answer: C
NEW QUESTION # 20
You find a Falcon Log Collector instance on a Linux system that is not connected to Fleet Management.
What command would you use to enroll the Falcon Log Collector?
- A. "C:\Program Files (x86)\CrowdStrike\Humio Log Collector\humio-log-collector.exe" enroll < TOKEN
> - B. sudo humio-log-collector enroll < TOKEN >
- C. sudo humio-log-collector --token < TOKEN > enroll
- D. sudo logscale-collector enroll < TOKEN >
Answer: D
Explanation:
The correct answer is B. sudo logscale-collector enroll < TOKEN > .
Current CrowdStrike LogScale Collector documentation shows the enrollment command using the logscale- collector binary. For example, the macOS custom installation page explicitly shows:
sudo logscale-collector enroll enrolltoken
The Fleet Management enrollment documentation also explains that you copy the enrollment command from the UI and run it on the machine hosting the collector.
Why the other options are incorrect:
A is a Windows path, not Linux. C reflects the older humio-log-collector naming that existed in earlier versions and release history, but the current docs use logscale-collector for the enrollment command. D does not match the documented command syntax. CrowdStrike's current documentation centers the enrollment workflow on logscale-collector enroll < token > .
NEW QUESTION # 21
You suspect that an API key you recently generated has been compromised.
What should you do?
- A. Contact CrowdStrike Support to retrieve and send the key to you
- B. Regenerate a new API key directly from the platform
- C. View the API key details in the platform and clone a new API key
- D. Search the audit logs for the connector creation event and replicate it
Answer: B
Explanation:
The correct answer is A. Regenerate a new API key directly from the platform .
CrowdStrike guidance around connector onboarding shows that after a connector is created, you generate an API key in the platform and use that key for the integration. Related integration guidance also shows a Regenerate API key action in the platform flow, which is the correct response when a key may be exposed or compromised.
Why the other options are incorrect:
* B does not address credential compromise; recreating the connector event does not invalidate the exposed key.
* C is incorrect because the issue is not viewing or cloning details; the security action is to rotate
/regenerate the credential.
* D is incorrect because CrowdStrike documentation consistently indicates secrets/keys are generated in- platform and may only be shown once, meaning Support is not the normal mechanism to retrieve and resend an existing secret.
NEW QUESTION # 22
Which are valid parse functions in CQL?
- A. parseIETF()
parseJson()
parseXml( - B. parseCEF()
parseJson()
parseXml() - C. parseCEF()
parseIETF()
parseXml() - D. parseCEF()
parseIETF()
parseJson()
Answer: B
Explanation:
The correct answer is B . CrowdStrike LogScale documentation includes parseCEF() , parseJson() , and parseXml() as valid parsing functions. parseCEF() parses CEF-encoded messages, parseJson() parses JSON data into fields, and parseXml() parses XML content into fields.
The other options are incorrect because parseIETF() is not a valid CQL parse function in the documented parsing function set, and option D also contains malformed syntax with parseXml(.
NEW QUESTION # 23
Which command helps visualize in real time whether sources and sinks are working properly in the Log Collector?
- A. logscale-collector monitor
- B. logscale-collector check
- C. journalctl -u logscale-collector
- D. logscale-collector --status
Answer: A
Explanation:
The correct answer is B .
CrowdStrike's Falcon LogScale Collector debug documentation says the monitor command launches a monitor terminal application and can be used to see a live view of the running state of the collector. It explicitly states that the running sources, queues and sinks can be inspected in real time . That exactly matches the question.
Why the other options are incorrect:
A can help review service logs, but it is not the documented real-time visualization command for sources and sinks.
C and D do not match the documented command for this purpose in the collector troubleshooting documentation.
NEW QUESTION # 24
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login
- A. Regex
- B. Syslog
- C. Key-value
- D. JSON
Answer: B
Explanation:
The correct answer is D. Syslog . The sample log follows classic syslog structure: a syslog-style timestamp, hostname, process name with PID, and message body. CrowdStrike's LogScale Collector documentation includes Syslog as a source/parser context for logs of this format, making Syslog the appropriate default parser choice here.
NEW QUESTION # 25
Which field should be used in a correlation rule when detections must be based on the original event occurrence time?
- A. @ingesttimestamp
- B. @id
- C. @timestamp
- D. @rawstring
Answer: C
Explanation:
@timestamp represents the time the event actually occurred and is the appropriate field for event-time-based detections and correlations. @ingesttimestamp reflects when the platform received the event, which may differ due to delays. @rawstring is raw event content, and @id is not a time field.
NEW QUESTION # 26
You are a Next-Gen SIEM Engineer responsible for parser creation. An internal requirement is to maintain both the Vendor and ECS field names within the Fields panel in Advanced Event Search.
What is the correct method for adding the ECS field while maintaining the Vendor field in a parser?
- A. Field Function
- B. Assignment Operator
- C. Regular Expression Field Extraction
- D. As Parameter
Answer: B
Explanation:
The correct answer is C. Assignment Operator .
In Falcon LogScale parser and query syntax, the assignment operator := is used to assign a value to a new field. CrowdStrike's LogScale documentation explains that := is shorthand for eval, and that it can also be used as shorthand with functions that support an as parameter to assign results to a named output field. This is the right approach when you want to create an ECS field while preserving the existing Vendor field , because you are creating an additional field rather than replacing the original one.
Why the other options are not the best answer:
Regular Expression Field Extraction is used to extract values from raw text when the value is not already parsed, so it is not the normal choice when you already have a Vendor field and simply want to map it to an ECS field as well. As Parameter can name the output field of certain functions, but the CrowdStrike documentation for rename() shows that renaming changes the field name, which does not meet the requirement to keep both field names visible. The rename() examples explicitly state that the original field names are replaced with the new field names.
So for a parser requirement that says "add ECS while maintaining Vendor," the operationally correct method is to assign the Vendor value into a new ECS field , not rename the Vendor field away.
NEW QUESTION # 27
An event has the following fields:
Which CQL query will output the frequency of a unique set of ComputerName, UserName, CommandLine?
- A. #event_simpleName = ProcessRollup2
| FileName = ssh.exe
| CommandLine = /\s-R\s.+\s-p/
| groupBy([ComputerName, UserName, CommandLine], function=count()) - B. #event_simpleName = ProcessRollup2
| FileName = ssh.exe
| CommandLine = /\s-R\s.+\s-p/
| table([ComputerName, UserName, CommandLine], function=count()) - C. #event_simpleName = ProcessRollup2 FileName = ssh.exe CommandLine = /\s-R\s.+\s-p/ | groupBy ([ComputerName, UserName, CommandLine])
- D. #event_simpleName = ProcessRollup2 FileName = ssh.exe CommandLine = /\s-R\s.+\s-p/ | table ([ComputerName, UserName, CommandLine]) | count()
Answer: A
Explanation:
CrowdStrike LogScale documentation states that groupBy() is used to group events by one or more specified fields, similar to SQL GROUP BY. The documentation also says the function parameter accepts aggregate functions, and its default is count(as=_count). That means the query that explicitly groups by ComputerName, UserName, and CommandLine and applies function=count() is the correct way to output the frequency of each unique combination of those three fields.
Why the other options are incorrect:
A is incorrect because table() formats output rows but does not aggregate unique combinations into frequencies the way groupBy() does. Adding count() after table() does not produce grouped counts for each unique triplet. B is incorrect because table() is not the aggregation function documented for grouped frequency counting; groupBy() is. D is close, but it relies on the default count behavior rather than explicitly specifying function=count(). Since the question asks which query will output the frequency of a unique set, C is the most correct and explicit choice.
NEW QUESTION # 28
What are the four required CPS-compliant Event parser tags?
- A. event.category
event.dataset
event.kind
event.outcome - B. event.dataset
event.kind
event.module
event.outcome - C. event.category
event.kind
event.module
event.outcome
Answer: B
Explanation:
The correct answer is C .
CrowdStrike's CPS documentation explicitly lists the CPS-compliant parser tags, and the relevant four event parser tags in that list are #event.dataset , #event.kind , #event.module , and #event.outcome . That exactly matches option C.
Why the other options are incorrect:
event.category is an important event categorization field in CPS, but it is not one of the four parser tags listed in the CPS tag set that this question is asking about. The documented parser tag list includes event.dataset , event.kind , event.module , and event.outcome .
NEW QUESTION # 29
Which sequence correctly describes the process for duplicating a workflow in Fusion SOAR?
- A. Go to Fusion SOAR > Fusion SOAR > Workflows > Select the checkbox next to the workflow you want to duplicate > Click "Actions" at the top of the page > Select "Create Copy" > Edit workflow name and description > Configure trigger conditions > Click Next > Review workflow canvas > Click Finish
- B. Go to Fusion SOAR > Workflow Management > Select "All Workflows" tab > Right-click on the workflow to duplicate > Select "Clone Workflow" > Modify workflow parameters > Click "Validate" > Set workflow status > Click Apply Changes
- C. Go to Fusion SOAR > Fusion SOAR > Workflows > Click Open (three dots) menu for the workflow you want to duplicate > Click "Duplicate workflow" > Update and rename the duplicated workflow > Click Save and exit to save the updated workflow
- D. Go to Fusion SOAR > Fusion SOAR > Workflows > Find the workflow to duplicate > Click the workflow name > Select "Duplicate" from Actions menu > Edit the workflow configuration > Click
"Create" to generate the new workflow > Set Status to On
Answer: C
Explanation:
The correct answer is C . CrowdStrike Fusion SOAR workflow management uses the Workflows page as the central location for workflow operations, and workflow editing actions are performed from the workflow's action menu. The duplicate process aligns with opening the workflow options menu, selecting Duplicate workflow , updating the duplicated workflow, and then using Save and exit to preserve the changes. This sequence reflects the expected workflow-management flow in Falcon Fusion SOAR.
NEW QUESTION # 30
You are creating a dashboard in Next-Gen SIEM and want to change the visualization used by a widget.
What must be selected to make this change?
- A. Interactions options
- B. Edit in Search view
- C. Styling options
Answer: C
Explanation:
The correct answer is C. Styling options .
CrowdStrike LogScale dashboard training documentation says the Styling panel is where you modify widget properties and, for widgets like a Time Chart, change how the graph is displayed . That aligns with changing the widget's visualization. By contrast, Interactions is for widget interaction behavior, and Edit in Search view is for editing the underlying search rather than changing the visualization style.
NEW QUESTION # 31
You are creating a correlation rule in Next-Gen SIEM to trigger alerts based on when the event occurred, regardless of when the event was ingested.
Which event timestamp should you select?
- A. @localtimestamp
- B. @ingesttimestamp
- C. @systemtimestamp
- D. @timestamp
Answer: D
Explanation:
The correct answer is A. @timestamp .
CrowdStrike LogScale documentation explains that @timestamp is the event timestamp, meaning when the event actually happened, while @ingesttimestamp is when the event arrived in LogScale. If you want the rule to fire based on when the event occurred, regardless of ingestion delay, you should use @timestamp .
Why the other options are incorrect:
D). @ingesttimestamp is specifically the ingest time, not the original event time.
B and C are not the standard event-time fields documented for this use. CrowdStrike's event field documentation centers this distinction on @timestamp versus @ingesttimestamp.
NEW QUESTION # 32
A parser needs to preserve the original third-party field name and also map it to an ECS-compatible field.
What is the best approach?
- A. Store both values only in @rawstring
- B. Rename the original field to the ECS field
- C. Keep the original Vendor field and assign its value to a new ECS field
- D. Delete the original field after mapping
Answer: C
Explanation:
A CPS-compliant approach keeps the original Vendor field while also assigning the value to a normalized ECS field. This preserves source fidelity and enables standardized search and detections. Renaming away the original field loses source context, and storing only in @rawstring prevents structured analysis.
NEW QUESTION # 33
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