XSIAM-Analyst Data Analysis With XQL — Timed 10 Questions

Question 1

An analyst wants to parse a custom log string field containing key-value pairs separated by spaces into distinct XQL fields. Which command should be used?

Accepted Answer

parse raw_log 'KEY-VALUE' as extracted_field. The 'parse' command with regular expressions or predefined grok/kv patterns is used to extract fields from raw string data.

Answer

parse raw_log into $key = $val

Answer

parse raw_log "" as @timestamp, action

Answer

parse raw_log "*=*" as key, value

Question 2

An analyst wants to count the number of unique IP addresses communicating with external networks in an XQL query. Which command combination accomplishes this efficiently?

Accepted Answer

dataset = network_raw | stats count(distinct external_ip) as unique_ips. The 'dedup' or 'count by' with 'fields' or 'stats count(distinct)' is used. Using stats count(unique) is incorrect; stats count(distinct field) is the correct XQL syntax.

Answer

dataset = network_raw | stats count(unique external_ip)

Answer

dataset = network_raw | summarize unique_ips = count(external_ip)

Answer

dataset = network_raw | unique external_ip | count

Question 3

An analyst needs to sort query results by timestamp in descending order and limit the output to the top 10 records. Which syntax is correct?

Accepted Answer

dataset = xdr_data | sort - _time | limit 10. Sorting in XQL uses the 'sort' command with a field and order modifier (e.g., -field for descending), followed by 'limit'.

Answer

dataset = xdr_data | sort _time desc | head 10

Answer

dataset = xdr_data | reverse _time | limit 10

Answer

dataset = xdr_data | order by _time desc | top 10

Question 4

When writing an XQL query involving time manipulation, how can an analyst filter events that occurred within the last 15 minutes dynamically?

Accepted Answer

filter _time >= ago(15m). XQL handles relative time filtering using the time range picker or the 'preset' or standard time modifiers, but within the query body, filtering can compare _time against current time or use pre-filter scopes. XSIAM queries typically scope time at the execution level or via `_time >= ago(15m)`.

Answer

filter timestamp > now() - 15 * 60

Answer

filter _time in last(15m)

Answer

filter timeframe = 'last_15_minutes'

Question 5

An analyst is grouping events by user and calculating the average CPU utilization. Which XQL aggregate function should be used inside the 'stats' command?

Accepted Answer

avg(). To calculate an average in XQL stats, the 'avg()' function is used.

Answer

average()

Answer

calc_avg()

Answer

mean()

Question 6

An analyst wants to write an XQL query that utilizes a lookup table called 'threat_ips' to tag events where the source IP matches a known malicious IP. Which command sequence is correct?

Accepted Answer

dataset = network_raw | lookup threat_ips local_ip as ip output threat_level. The 'lookup' command enriches records by matching fields against a lookup table defined in XSIAM.

Answer

dataset = network_raw | match threat_ips.ip = local_ip

Answer

dataset = network_raw | join table=threat_ips on local_ip

Answer

dataset = network_raw | enrich table=threat_ips match=local_ip

Question 7

An analyst writes an XQL query using the 'sliding window' or sequence correlation features to detect a failed login followed by a successful login within 5 minutes. Which command structure facilitates event sequencing in XQL?

Accepted Answer

dataset = xdr_data | sequence by actor_username [action = 'LOGIN_FAIL'] [action = 'LOGIN_SUCCESS'] maxspan=5m. XQL supports sequence analysis using the 'dedup', 'events', or correlation syntax, specifically utilizing sequence matching clauses.

Answer

dataset = xdr_data | chain first(action='LOGIN_FAIL') then(action='LOGIN_SUCCESS') window=5m

Answer

dataset = xdr_data | correlate order(LOGIN_FAIL, LOGIN_SUCCESS) span=5m

Answer

dataset = xdr_data | track actor_username steps(LOGIN_FAIL, LOGIN_SUCCESS)

Question 8

An analyst wants to output distinct values of a field while also showing a count of occurrences for each. Which XQL aggregation pattern is best suited for this?

Accepted Answer

dataset = xdr_data | stats count() by action_type. Grouping by a field and counting occurrences uses the 'stats count() by field' structure.

Answer

dataset = xdr_data | distinct action_type | count

Answer

dataset = xdr_data | summarize count = frequency(action_type)

Answer

dataset = xdr_data | group action_type | count_records

Question 9

Which XQL command allows an analyst to pivot or transform rows into columns, similar to a pivot table?

Accepted Answer

pivot. The 'xform' or 'pivot' command is used in data manipulation; specifically, 'pivot' reshapes rows into columns based on aggregate values.

Answer

transpose

Answer

matrix

Answer

reshape

Question 10

An analyst wants to calculate the time difference between two events (process creation and network connection) for the same process GUID. Which XQL function calculates the time delta?

Accepted Answer

alter time_diff = timestamp_diff(end_time, start_time). Subtracting timestamps or using duration calculation functions in event correlation is handled via timestamp arithmetic or delta functions.

Answer

alter time_diff = end_time - start_time

Answer

alter time_diff = elapsed(start_time, end_time)

Answer

alter time_diff = datetime_diff(end_time, start_time)