01. During a hunt an analyst finds one internal host communicating with an external address on a schedule, at a volume too small to have triggered any rule.
Which two follow-ups establish most?
(Choose two.)
a) Examining what the conversations actually carried, rather than only that they occurred.
b) Raising a threshold rule so that this volume of traffic would fire an offense in future.
c) Checking whether the external address is listed in the deployment’s threat intelligence, or in any supplier feed.
d) Searching the whole retained period for any other internal host reaching the same address.
02. A search returns a large result set and the analyst needs to know how many distinct users appear in it, not how many rows.
What produces that?
a) Filtering the results to one user at a time and totaling the searches.
b) Grouping on the user property and reading the unique count.
c) Sorting the results by user so that repeated values appear together.
d) Reading the count the search reports.
03. Why is a saved search preferable to rebuilding the same filters each time?
a) A saved search runs more quickly than the same set of filters entered afresh each time.
b) A saved search can use properties that an ad-hoc search cannot.
c) The definition is stated once and everything built on it stays consistent.
d) A saved search retains its previous results for comparison.
04. A team produces the same report each month for three business units, differing only in which unit it covers.
What reduces the maintenance?
a) Building three reports on a single shared saved search.
b) Building one report covering all three units, with the results grouped by unit.
c) Scheduling one report and sending it to all three units.
d) Building one report and duplicating it once per unit.
05. What does the direction recorded on a flow tell an analyst?
a) Whether the conversation was permitted by the enforcing device.
b) Whether the conversation crossed the point where flows are collected.
c) Which side sent the greater volume of data over the course of the conversation.
d) Which side began the conversation, read against the declared address space.
06. A hunt needs to test each observed address against a maintained list that also records which supplier each address belongs to.
Which structure fits?
a) A custom event property extracting the supplier from the record.
b) A building block naming the supplier addresses, referenced by the search.
c) A reference set, filtered on membership of the maintained list.
d) A reference map, because the hunt needs the value the address maps to as well as its presence on the list.
07. What is the relationship between a dashboard item and the saved search behind it?
a) The item holds a copy of the search taken when the item was created.
b) The item and the search are the same object viewed two ways.
c) The item presents the search; the search decides what there is to present.
d) The item defines the time range and the search defines the filters.
08. A hunt turns on what was actually carried in a conversation, not merely that it took place.
What does QFlow add that a header-only flow record does not?
a) The direction of the conversation relative to the network hierarchy.
b) What the conversation actually carried, up to the application layer, rather than only its endpoints.
c) The user account responsible for the conversation.
d) The rules that tested the conversation and whether any of them matched.
09. Why does an analyst compare the same search across two adjacent intervals during a hunt?
a) Because the deployment retains the two intervals under different regimes.
b) Because comparing intervals removes the need to establish a baseline.
c) Because a change is easier to recognize than an absolute level is to judge.
d) Because a single interval may simply be too short for the activity to appear at all.
10. An analyst wants to find the hosts that talked to the fewest distinct destinations in a period, on the theory that a compromised server may be beaconing to one place.
What does the search need to do?
a) Group by source and return a unique count of destinations, then order by the smallest.
b) Group by destination and return a unique count of sources.
c) Filter to the hosts showing the lowest total flow volume across the whole period being examined.
d) Return the flows for each server and read the destinations by eye.