CYSA 4 Exam Questions and Answers with
Verified Solutions | Latest Updated 2026
Conditional Analysis A simple form of correlation performed by
a
machine by using signature detection and
rule-
based policies. (If (x) and (y or z))
Heuristic Analysis A method that uses feature comparisons
and
likenesses rather than specific signature
matching
to identify whether the target of
observation is
malicious.
Behavioral Analysis A network monitoring system that detects
changes
in normal operating data sequences and
identifies
abnormal sequences. (Also known as
behavior-
based detection.)
, Anomaly Analysis A network monitoring system that uses a
baseline
of acceptable outcomes or event patterns
to
identify events that fall outside the
acceptable
range.
Trend Analysis The process of detecting patterns within a
dataset
over time, and using those patterns to
make
predictions about future events or better
understand past events.
Frequency-based Analysis Establishes a baseline for a metric and
monitors the
number of occurrences over time
Volume-based Analysis Measures a metric based on the size of
something,
such as disk space used or log file size
Statistical Deviation Analysis Uses the concept of mean and standard
deviations
to determine if a data point should be
treated as
suspicious
Verified Solutions | Latest Updated 2026
Conditional Analysis A simple form of correlation performed by
a
machine by using signature detection and
rule-
based policies. (If (x) and (y or z))
Heuristic Analysis A method that uses feature comparisons
and
likenesses rather than specific signature
matching
to identify whether the target of
observation is
malicious.
Behavioral Analysis A network monitoring system that detects
changes
in normal operating data sequences and
identifies
abnormal sequences. (Also known as
behavior-
based detection.)
, Anomaly Analysis A network monitoring system that uses a
baseline
of acceptable outcomes or event patterns
to
identify events that fall outside the
acceptable
range.
Trend Analysis The process of detecting patterns within a
dataset
over time, and using those patterns to
make
predictions about future events or better
understand past events.
Frequency-based Analysis Establishes a baseline for a metric and
monitors the
number of occurrences over time
Volume-based Analysis Measures a metric based on the size of
something,
such as disk space used or log file size
Statistical Deviation Analysis Uses the concept of mean and standard
deviations
to determine if a data point should be
treated as
suspicious
