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NEW QUESTION # 18
The parseJson() function would be used to parse which log message format from the list below?
- A. 2024-05-10T14:23:11Z INFO Service started
- B. level=debug msg="Disconnected" host=app01
- C. { "level": "info", "msg": "User login", "user": "john_doe" }
- D. 192.168.1.1 [192.168.1.1] - - [10/May/2024:14:23:11 +0000] "GET/index.html"
Answer: C
Explanation:
The correct answer is C . CrowdStrike documents parseJson() as the function used to parse data or a field as JSON , converting JSON objects into named fields. The JSON example in the docs matches the structure of option C.
The other options are not JSON. A is key-value style text, B is access-log style text, and D is plain text with a timestamp and message. Those would require other parsing approaches, not parseJson().
NEW QUESTION # 19
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. Edit in Search view
- B. Styling options
- C. Interactions options
Answer: B
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 # 20
You are reviewing logs and find that the content appears as one large block of text within the @rawstring field for incoming firewall logs. The other expected structured fields are empty.
What is the cause of this issue?
- A. The parser was incorrect
- B. The timestamp format is incorrect
- C. The sink was overloaded
- D. The ingestion token is invalid
Answer: A
Explanation:
The correct answer is A. The parser was incorrect .
CrowdStrike LogScale documentation explains that when data is ingested without an appropriate parser , the event still arrives in LogScale, but it is not automatically parsed into fields . In that case, the event remains as raw text in @rawstring, while the expected extracted fields stay empty. That matches the exact symptom described in the question.
Why the other options are incorrect:
B is incorrect because if the ingestion token were invalid, the data generally would not be ingested successfully in the first place. C is incorrect because an overloaded sink may delay or buffer delivery, but it does not explain why only @rawstring is populated while structured fields are missing. D is incorrect because a timestamp parsing problem may cause time-related errors, but it would not by itself explain why the entire firewall event remains unparsed as raw text. CrowdStrike's parser error docs show that parse failures are tracked separately and that @rawstring is what you inspect when events fail to parse correctly.
NEW QUESTION # 21
Which default role will maintain least privilege and allow for creation and management of parsers?
- A. NG SIEM Administrator
- B. NG SIEM Analyst - Read Only
- C. NG SIEM Security Lead
- D. NG SIEM Analyst
Answer: C
Explanation:
The correct answer is B. NG SIEM Security Lead . Parser creation and management requires elevated SIEM content and configuration capabilities that go beyond standard analyst activity, but it does not require the full breadth of platform-wide administrative control. NG SIEM Security Lead is the default role that best fits parser management while still maintaining least privilege compared with NG SIEM Administrator . NG SIEM Analyst and NG SIEM Analyst - Read Only do not provide the content-management level access needed for parser administration. CrowdStrike's SIEM role separation supports using the Security Lead role for advanced SIEM content configuration tasks.
NEW QUESTION # 22
You need to provide a colleague the appropriate role to allow for configuration of connectors and creation of SOAR automations in Next-Gen SIEM.
Which role will provide these permissions while also maintaining least privilege?
- A. Custom role
- B. NG SIEM Security Lead
- C. Falcon Security Lead
- D. NG SIEM Analyst
Answer: A
Explanation:
The best answer is D. Custom role .
CrowdStrike documentation for Store app integrations states that the Falcon Administrator role is required to enable apps and plugins in the CrowdStrike Store, which is the administrative side of connector configuration. That shows connector configuration is a privileged task.
At the same time, Falcon Fusion SOAR is the workflow automation capability used to create SOAR automations in the Falcon platform. CrowdStrike describes Fusion SOAR as the workflow engine used to build and run workflows and automate actions across security processes.
Because the question specifically asks for the role that allows both actions while maintaining least privilege
, the most appropriate choice is a custom role that grants only the required permissions instead of assigning a broader built-in administrative role. This is an inference from the documented permission model: connector
/plugin setup requires elevated permissions, and SOAR workflow creation is a separate capability, so a narrowly scoped custom role is the least-privilege answer among the options.
Why the other options are not the best answer:
NG SIEM Analyst is intended for analyst activity, not configuration and automation administration. Falcon Security Lead is broader and not the most precise least-privilege answer. NG SIEM Security Lead may have wide SIEM access, but the question asks for the option that best maintains least privilege across both connector configuration and SOAR automation creation; that is better satisfied by a custom role . This conclusion is based on the documented need for elevated permissions for plugin configuration and the separate SOAR workflow capability.
NEW QUESTION # 23
Which two tags are compliant with the CrowdStrike Parsing Standard (CPS)?
- A. #event.type and #event.kind
- B. #observer.type and #vendor.name
- C. #observer.type and #event.kind
- D. #vendor.name and #event.type
Answer: C
Explanation:
The correct answer is C. #observer.type and #event.kind .
CrowdStrike's CPS migration documentation lists the CPS-compliant parser tags, including #event.dataset ,
#event.kind , #event.module , and #observer.type . Since both #observer.type and #event.kind are explicitly listed, option C is the correct pair.
Why the other options are incorrect:
The documentation lists #Vendor as a tag, not #vendor.name , and it does not list #event.type among the CPS parser tags in the tag list. That makes options A, B, and D incorrect.
NEW QUESTION # 24
Which Falcon LogScale Collector mode keeps the log source configuration stored locally on the collector host instead of centrally in Fleet Management?
- A. central
- B. collectorOnly
- C. full
- D. localConfig
Answer: D
Explanation:
In Fleet Management enrollment, localConfig keeps the collector's source configuration stored and managed locally on the host. By contrast, full mode stores and manages the configuration centrally in Next-Gen SIEM / Fleet Management. This distinction is important when choosing between centralized and host-local administration.
NEW QUESTION # 25
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. Linux syslog parser
- B. CrowdStrike Parsing Standard (CPS) compliant parser
- C. VMWare ESXI parser
- D. Charlotte AI-generated parser
Answer: B
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 # 26
A Falcon Log Collector has been configured with 4 sinks of type memory, each having a queue size of 2GB.
What is the minimum memory requirement produced by this configuration?
- A. 8 GB
- B. 12 GB
- C. 10 GB
- D. 9 GB
Answer: D
Explanation:
The correct answer is A. 9 GB .
CrowdStrike's Falcon LogScale Collector sizing documentation states that memory requirement for memory queues is linearly proportional to the number of sinks plus a constant baseline requirement of 1 GB .
The documentation gives a worked example: 1 GB baseline + queue sizes for each sink .
For this question:
* Number of sinks = 4
* Queue size per sink = 2 GB
* Total sink memory = 4 × 2 GB = 8 GB
* Add baseline memory = 1 GB
So the minimum memory requirement is:
8 GB + 1 GB = 9 GB .
That is why:
* A. 9 GB is correct
* B. 12 GB , C. 10 GB , and D. 8 GB are incorrect because they do not match CrowdStrike's documented sizing formula for memory queues.
NEW QUESTION # 27
How can you enable internal logging for a specific Falcon Log Collector instance from the Fleet view?
- A. Restart the collector service with the flag "Manage Internal Logging"
- B. Reinstall the collector with logging enabled
- C. Select "Manage Internal Logging" from the menu
- D. Edit the local configuration file
Answer: C
Explanation:
The correct answer is C. Select "Manage Internal Logging" from the menu .
CrowdStrike LogScale Collector documentation for Fleet Management explicitly describes the steps to enable internal logging from the Fleet view. It says to go to Data Ingest > Fleet Overview , click the ellipsis next to the specific collector instance, and then click Manage Internal Logging . From there, you can enable logging and choose where to send it.
Why the other options are incorrect:
A is incorrect because reinstalling the collector is not required. B is incorrect because the question specifically asks how to do it from the Fleet view , and the documented UI action is through the menu in Fleet Management, not by manually editing the local config. D is incorrect because the documentation does not describe enabling internal logging by restarting the service with a special flag.
NEW QUESTION # 28
You are onboarding a log source that includes a timestamp with a different timezone.
How should you address any time parsing errors that occur?
- A. Clone the parser and change the timestamp field name
- B. Clone the parser and drop the timestamp field, use ingesttimestamp instead
- C. Clone the parser and manually apply the timezone parameter
- D. Adjust the log source to reflect the correct timezone before sending logs
Answer: C
Explanation:
The correct answer is A . CrowdStrike documentation states that when a timestamp does not include timezone information, or when you need to control timezone interpretation, you should pass the timezone parameter to parseTimestamp() or findTimestamp(). Since parsers are where ingest-time transformations are defined, the correct engineering approach is to create or clone a custom parser for that log source and explicitly apply the needed timezone handling there. CrowdStrike's custom parser docs explain that parsers are used to control how incoming events are transformed during ingest, and the timestamp parsing docs explain that timezone can be set directly in the parser logic.
Why the other options are incorrect:
B is not the documented parser-side solution. While changing the source may work operationally in some environments, CrowdStrike's parsing guidance focuses on fixing time interpretation in the parser by using timezone or related timestamp parsing controls. C is incorrect because changing the timestamp field name does not solve timezone parsing. D is incorrect because dropping the source timestamp and relying on ingest time would lose the original event time, which is exactly what parsers are meant to preserve by converting source timestamps into @timestamp. CrowdStrike explicitly states that one of the most important jobs of a parser is assigning correct timestamps to events.
NEW QUESTION # 29
Review the log event below:
{"ts": "2018/11/01 14:31:10", "server": "web01", "message": "Out of memory"} Which parsing function is correct to add a missing timezone field?
- A. parseJson() | parseTimestamp("dd/MMM/yyyy:HH:mm:ss Z", timezone="Europe/Paris", field=ts)
- B. kvParse() | findTimestamp(field=ts, timezone="Europe/London")
- C. parseJson() | parseTimestamp("yyyy/MM/dd HH:mm:ss", timezone="Europe/Paris", field=ts)
- D. kvParse() | findTimestamp(timezone="America/New_York")
Answer: C
Explanation:
The correct answer is D . CrowdStrike LogScale's timestamp parsing documentation gives this exact pattern as the example for a JSON event whose ts field contains 2018/11/01 14:31:10 with no timezone present. The documented solution is:
parseJson() | parseTimestamp("yyyy/MM/dd HH:mm:ss", timezone="Europe/Paris", field=ts) This works because the event is JSON, so parseJson() is the right first step, and the timestamp format matches the sample exactly. Since the timestamp string does not include timezone information, CrowdStrike documentation says you must provide a timezone parameter to parseTimestamp().
Why the other options are incorrect:
A is wrong because the format string does not match the timestamp. The event uses 2018/11/01 14:31:10, which is yyyy/MM/dd HH:mm:ss, not dd/MMM/yyyy:HH:mm:ss Z. Also, the sample timestamp does not include a Z timezone token in the raw string. B and C are wrong because kvParse() is for key-value logs, not JSON logs, and this event is clearly JSON. CrowdStrike's built-in parser documentation distinguishes JSON parsing from KV parsing, and the timestamp example for missing timezone specifically uses parseJson() with parseTimestamp().
NEW QUESTION # 30
Which role is most appropriate when a user only needs to view SIEM investigations and dashboards but must not modify content?
- A. NG SIEM Analyst - Read Only
- B. NG SIEM Administrator
- C. NG SIEM Security Lead
- D. NG SIEM Analyst
Answer: A
Explanation:
The least-privilege role for users who only need to view dashboards, searches, and investigation data without making changes is NG SIEM Analyst - Read Only . This role is designed for visibility without content modification or administrative access. The other roles provide broader operational or management permissions.
NEW QUESTION # 31
Which CQL function should you use to count events by hostname?
- A. table()
- B. parseJson()
- C. kvParse()
- D. groupBy()
Answer: D
Explanation:
The groupBy() function is used to aggregate events by one or more fields, such as hostname, and return counts or other aggregate calculations. table() displays selected fields but does not perform grouped aggregation. parseJson() and kvParse() are parsing functions, not aggregation functions.
NEW QUESTION # 32
You notice a larger than expected ingest delay from one of your high-volume streaming log collectors.
Which setting should you increase on the log collector to improve performance?
- A. Amount of available disk space
- B. Number of concurrent requests a sink is using
- C. Available source throughput
- D. Default memory queue size
Answer: B
Explanation:
The correct answer is C. Number of concurrent requests a sink is using .
CrowdStrike's Falcon LogScale Collector sizing guidance states that in high throughput scenarios where the ingestion endpoint becomes a bottleneck, it can be beneficial to increase the number of concurrent requests a sink is using through the workers setting. The docs explicitly say this helps when the number of parallel requests is limiting throughput.
The same document also explains why D is wrong: increasing the memory queue size does not increase sink throughput. The queue exists to keep data available for the sink; if throughput is lower than the incoming data rate, the queue will eventually fill up anyway.
So:
* C is correct because more sink workers can improve performance in high-volume conditions.
* D is incorrect because queue size does not fix the throughput bottleneck.
* A and B are not the documented tuning setting for this issue in the collector guidance.
NEW QUESTION # 33
What is true about first-party data from the Falcon platform and its integration into Next-Gen SIEM?
- A. First-party data requires a log collector installation
- B. It is instantly accessible within Next-Gen SIEM
- C. It is quickly ingested to Next-Gen SIEM via a third-party integration
Answer: B
Explanation:
The correct answer is C. It is instantly accessible within Next-Gen SIEM .
CrowdStrike states that Falcon Next-Gen SIEM provides instant availability of first-party data , including native CrowdStrike telemetry such as endpoint, cloud, and identity data. This means first-party Falcon data does not require a separate onboarding step like third-party sources often do.
Why the other options are incorrect:
A is incorrect because first-party Falcon telemetry does not require a separate log collector installation to become available inside the platform. B is incorrect because the question is about first-party data, not third- party integration. CrowdStrike distinguishes native Falcon telemetry from externally integrated log sources.
NEW QUESTION # 34
Which sequence correctly describes the process for duplicating a workflow in Fusion SOAR?
- A. 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
- B. 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 - 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 > 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
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 # 35
You want a consistent view of events from various data sources.
Which ECS field type should you normalize?
- A. Base Fields
- B. Detection Fields
- C. Extended Fields
- D. Core Fields
Answer: D
Explanation:
Elastic's official ECS guidelines define Core fields as the fields most common across use cases and explicitly state that analysis content built on these fields should work properly on data from any relevant source. They also say to focus on populating these fields first . CrowdStrike's CPS builds on ECS and is intended to standardize field names and structures across different data sources for consistent searching and analysis.
Together, that makes Core fields the right answer when your goal is a consistent cross-source view.
Why the other options are incorrect:
* Extended fields are useful, but ECS defines them as anything not in the core set, so they are not the primary normalization target for broad consistency.
* Base fields and Detection fields are not the correct ECS field-type answer to this question as framed.
NEW QUESTION # 36
Which field is compliant with CrowdStrike Parsing Standard (CPS)?
- A. #event.trigger
- B. Parser.type
- C. Parser.name
- D. #event.dataset
Answer: D
Explanation:
The correct answer is B. #event.dataset .
CrowdStrike's CPS documentation explicitly lists #event.dataset as one of the CPS-compliant parser tags.
The CPS migration documentation also repeats that CPS-compliant parsers use tags for fields including #ecs.
version , #event.dataset , and #event.kind .
Why the other options are incorrect:
Parser.type and Parser.name are not listed as CPS-compliant tags in the CPS standard.
#event.trigger is also not listed among the CPS-compliant fields/tags.
Therefore, the only CPS-compliant option given is #event.dataset .
NEW QUESTION # 37
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 true positives in the console
- B. Their status will change to closed and tagged as false positives in the console
- C. They will not be impacted and will remain within the console
- D. They will be immediately deleted from the console
Answer: C
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 # 38
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login
- A. Syslog
- B. JSON
- C. Regex
- D. Key-value
Answer: A
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 # 39
What is the most appropriate action if a third-party connector is disconnected and no longer ingesting data?
- A. Delete the related parser immediately
- B. Review connector health and reconnect or reauthorize the integration
- C. Change all searches to Falcon-only data
- D. Ignore it until the monthly ingestion report updates
Answer: B
Explanation:
When a third-party connector is disconnected, the correct response is to review the connector's configuration, authentication, and health state, then reconnect or reauthorize it as needed. Deleting the parser does not address the connectivity problem, and ignoring the issue delays restoration of ingestion visibility.
NEW QUESTION # 40
In the Next-Gen SIEM Connector Dashboard, what is the maximum retention period for which you can query third-party data ingestion metrics?
- A. 60 days
- B. 180 days
- C. 90 days
- D. 30 days
Answer: C
Explanation:
In the Next-Gen SIEM Connector Dashboard (specifically within the CrowdStrike Falcon ecosystem), the maximum retention period for which you can query third-party data ingestion metrics is 90 days .
Why 90 Days?
While the actual log data (telemetry) in a Next-Gen SIEM can often be retained for a year or longer depending on the subscription (e.g., 365 days), the health and ingestion metrics -which include data such as volume throughput, connector status, and ingestion rates-are typically stored for a shorter duration. This
90-day window is designed to provide enough historical context for:
* Troubleshooting: Identifying when a specific connector started failing.
* Trend Analysis: Monitoring changes in data volume over a fiscal quarter.
* Capacity Planning: Reviewing average ingestion rates to ensure they stay within licensed limits.
NEW QUESTION # 41
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