XSIAM-Analyst Data Analysis With XQL — Timed 20 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

Which XQL command restricts the fields included in the final output to only those explicitly specified?

Accepted Answer

fields. The 'fields' command is used to include or exclude specific fields from the output stream.

Answer

keep

Answer

select

Answer

project

Question 3

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 4

An analyst needs to query all endpoint events in XQL where the action type is explicitly equal to 'PROCESS_START'. Which XQL syntax correctly applies this filter?

Accepted Answer

dataset = xdr_data | filter event_type = "PROCESS_START". The correct XQL filter uses the dataset command followed by the filter criteria using standard comparison operators like '='.

Answer

dataset = endpoint_raw | filter action_evt = 'PROCESS_START'

Answer

dataset = xdr_data | where action_type IN ('PROCESS_START')

Answer

dataset = endpoint_raw | search action_type == 'PROCESS_START'

Question 5

An analyst writes an XQL query combining two different datasets using an inner join based on a matching hostname. Which syntax structure is correct?

Accepted Answer

dataset = xdr_data | join type=inner dataset = cloud_trail on actor_username = username. XQL supports the 'join' command with an optional type and an ON clause specifying the matching fields.

Answer

dataset = xdr_data, cloud_trail | correlate on actor_username

Answer

dataset = xdr_data | lookup dataset = cloud_trail on actor_username

Answer

dataset = xdr_data | merge dataset = cloud_trail where actor_username == username

Question 6

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 7

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 8

Which XQL command allows an analyst to add a new calculated field or modify an existing one based on conditional logic?

Accepted Answer

alter. The 'alter' command is used in XQL to create new fields or modify existing ones using expressions and functions.

Answer

set

Answer

eval

Answer

calculate

Question 9

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 10

An analyst needs to filter out noise by excluding events where the username starts with 'svc_'. Which XQL operator or function should be used?

Accepted Answer

filter not(username ~= "^svc_"). To check if a string starts with a specific prefix, the 'not ~= ' or regular expression match, or string functions like 'not starts_with()' or regex can be used. In XQL, string operators include `not(username ~= "^svc_")` or explicit matching.

Answer

filter exclude username like 'svc_%'

Answer

filter not match(username, 'svc_')

Answer

filter username != 'svc_*'

Question 11

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 12

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 13

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 14

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 15

An analyst wants to extract a substring from a file path using a regular expression and store it in a new field. Which XQL function accomplishes this inside an 'alter' command?

Accepted Answer

alter filename = regextract(file_path, "\([^\]+)$"). In XQL, the regextract function extracts a substring from a field using a regular expression and returns the captured group. Used within an alter command, it creates a new field with the extracted value. The syntax alter filename = regextract(file_path, "\([^\]+)$") correctly captures the filename portion after the last backslash.

Answer

alter filename = extract(file_path, regex="...")

Answer

alter filename = substr_regex(file_path, "...")

Answer

alter filename = split(file_path, "/")

Question 16

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)

Question 17

When working with JSON-formatted log data stored inside a text field in XQL, how can an analyst access a specific nested key named 'user_id'?

Accepted Answer

alter extracted_id = json_extract_scalar(raw_json_field, "$.user_id"). XQL supports dot notation or json extraction functions like json_extract() to query nested JSON structures.

Answer

alter extracted_id = read_json(raw_json_field, 'user_id')

Answer

parse raw_json_field json to user_id

Answer

alter extracted_id = raw_json_field.user_id

Question 18

An analyst needs to transform an IP address field into an integer representation within an XQL query using the 'alter' command. Which function should be used?

Accepted Answer

alter ip_int = ip_to_int(source_ip). XQL provides the dedicated 'ip_to_int()' function to convert an IP address string into its integer representation, which is useful for range comparisons and arithmetic on IP addresses. The correct syntax within an 'alter' command is 'alter ip_int = ip_to_int(source_ip)'. This function handles both IPv4 and IPv6 formats and returns the numeric equivalent.

Answer

alter ip_int = cast(source_ip as integer)

Answer

alter ip_int = to_integer(source_ip)

Answer

alter ip_int = parse_ip(source_ip, 'int')

Question 19

Which THREE commands are valid XQL pipeline stages used for data transformation and shaping? (Choose three)

Accepted Answer

fields. Option A, `fields`, is a valid XQL pipeline stage that selects, orders, or drops columns in the result set, making it a core data-shaping stage. Option D, `alter`, is a valid XQL stage that creates or modifies fields in the pipeline, so it directly performs data transformation. Option E, `rename`, is a valid XQL stage that renames fields in the output, which is another standard shaping operation. The unmarked options do not belong because `transform` (B) and `modify` (C) are not XQL pipeline stage keywords; XQL uses stages such as `fields`, `alter`, `rename`, `filter`, `comp`, and `dedup` rather than those generic terms.

Answer

transform

Answer

modify

Question 20

Which THREE aggregate functions can be used with the 'stats' command in XQL to analyze numerical metrics? (Choose three)

Accepted Answer

count(). Valid stats aggregate functions include count, sum, and max.

Answer

highest()

Answer

total()