Exam Bundle

A scheduled execution history verifies that a recurrence ran on a particular host. It does not demonstrate that the ad-hoc Sentinel hunt is saved for authorized hunters and returns the seeded sign-in event.

“The hunt returns known migrated events rather than reporting missing-table errors.” tests A hunting query references a custom table that has been renamed after a data migration. It does not demonstrate the target outcome of The seeded authentication event is returned and the saved query is available to authorized hunters. in the case described. This scenario concerns: A hunter wants an ad-hoc Sentinel query for suspicious sign-in activity and may save it for reuse.

“Benign backup activity is excluded while the suspicious sign-in sample remains.” may be appropriate evidence for A hunting query is noisy because it includes expected backup-service authentications., but the verification of the current incident must instead show The seeded authentication event is returned and the saved query is available to authorized hunters. This scenario concerns: A hunter wants an ad-hoc Sentinel query for suspicious sign-in activity and may save it for reuse.

Creating a hunt supplies KQL and an interactive search source, but does not establish a supported recurring evaluation schedule or monitoring of successive query runs.

“Group or associate relevant bookmarks with the appropriate Sentinel investigation or incident.” would prioritize A researcher finds several bookmarks linked to one potential intrusion. That does not directly address the stated issue: A SOC wants the same hunting query evaluated regularly for newly suspicious hosts.

This alternative, “Create a KQL baseline of typical counts and compare with current activity.”, is appropriate for A SOC is hunting for a user who suddenly downloaded an unusual number of files. It does not establish the required outcome of Execution history shows the intended cadence and matching test host. This scenario concerns: A SOC wants the same hunting query evaluated regularly for newly suspicious hosts.

“The incident reflects the supported evidence from each bookmark.” tests A researcher finds several bookmarks linked to one potential intrusion. It does not demonstrate the target outcome of Execution history shows the intended cadence and matching test host. in the case described. This scenario concerns: A SOC wants the same hunting query evaluated regularly for newly suspicious hosts.

This proposed result, “The synthetic high-volume user is flagged without marking normal users.”, relates to A SOC is hunting for a user who suddenly downloaded an unusual number of files. It would not prove that Schedule or manage the supported query workflow and monitor its run results. met the current requirement. This scenario concerns: A SOC wants the same hunting query evaluated regularly for newly suspicious hosts.

A saved hunt that finds an authentication record proves the query works when run manually. The requested check concerns execution cadence; inspect scheduled-run history and the matching test host.

“Create a KQL baseline of typical counts and compare with current activity.” would prioritize A SOC is hunting for a user who suddenly downloaded an unusual number of files. That does not directly address the stated issue: A hunting query is noisy because it includes expected backup-service authentications.

This alternative, “Update the saved hunt to the verified destination table and column schema.”, is appropriate for A hunting query references a custom table that has been renamed after a data migration. It does not establish the required outcome of Benign backup activity is excluded while the suspicious sign-in sample remains. This scenario concerns: A hunting query is noisy because it includes expected backup-service authentications.

The proposed action “Select a data-lake KQL job that supports the required multitable joins.” solves A query uses join across multiple historical tables but the analyst chose a single-table search job. The present requirement is different: A hunting query is noisy because it includes expected backup-service authentications.

This proposed result, “The seeded authentication event is returned and the saved query is available to authorized hunters.”, relates to A hunter wants an ad-hoc Sentinel query for suspicious sign-in activity and may save it for reuse. It would not prove that Add a narrow documented exclusion or baseline condition rather than discard the hunt. met the current requirement. This scenario concerns: A hunting query is noisy because it includes expected backup-service authentications.

“The synthetic high-volume user is flagged without marking normal users.” may be appropriate evidence for A SOC is hunting for a user who suddenly downloaded an unusual number of files., but the verification of the current incident must instead show Benign backup activity is excluded while the suspicious sign-in sample remains. This scenario concerns: A hunting query is noisy because it includes expected backup-service authentications.

Seeing periodic aggregate summary rows proves a summary rule executes. It does not validate a narrow backup exclusion that removes benign authentication noise while retaining the suspicious sign-in sample.

This alternative, “Create a Microsoft Sentinel hunting query with appropriate KQL and a defined data source.”, is appropriate for A hunter wants an ad-hoc Sentinel query for suspicious sign-in activity and may save it for reuse. It does not establish the required outcome of The bookmarked test event remains available for investigation with its associated entity context. This scenario concerns: An analyst wants to bookmark an unusual logon event for later case-building.

The proposed action “Use summary rules for frequent aggregation into analytics tables and KQL jobs for complex historical data-lake queries.” solves The team wants to separate a summary rule from a KQL data-lake job. The present requirement is different: An analyst wants to bookmark an unusual logon event for later case-building.

A Sentinel notebook supports programmable investigation and graph analysis. It does not itself bookmark the particular unusual logon event with its entities and analyst notes for later case-building.

A saved hunt with a matching login result proves the query can find that record, not that an investigation bookmark retains the chosen event and related entity information for later review.

A notebook graph can reconstruct entity links in an analysis session. A bookmark must separately preserve the selected Sentinel event and its incident-relevant context so another responder can retrieve it.

“Known indicator matches appear with source event and indicator provenance.” tests A hunter asks for all events with malicious IPs from a threat intelligence table. It does not demonstrate the target outcome of The bookmarked test event remains available for investigation with its associated entity context. in the case described. This scenario concerns: An analyst wants to bookmark an unusual logon event for later case-building.

The option “Create a KQL baseline of typical counts and compare with current activity.” would address A SOC is hunting for a user who suddenly downloaded an unusual number of files. It is less direct than Group or associate relevant bookmarks with the appropriate Sentinel investigation or incident. for the case at hand. This scenario concerns: A researcher finds several bookmarks linked to one potential intrusion.

An asynchronous data-lake query retrieves old records without continuous analytics ingestion. The issue is attaching existing bookmarks to the relevant Sentinel incident for investigation, not running another historical query.

“Evaluate a supported search job for that archived table and its retrieval requirements.” would prioritize An analyst requires a one-off investigation of archived single-table logs prior to data-lake onboarding. That does not directly address the stated issue: A researcher finds several bookmarks linked to one potential intrusion.

Hydrated archived events in a search-results table prove historical retrieval worked. They do not establish that all relevant bookmarks have been linked as supported evidence in the active incident.

“The asynchronous result includes the seeded cross-table historical match.” tests A SOC wants to detect historical attacks by joining two years of data-lake logs. It does not demonstrate the target outcome of The incident reflects the supported evidence from each bookmark. in the case described. This scenario concerns: A researcher finds several bookmarks linked to one potential intrusion.

This proposed result, “The job completes with historical results and documented source tables.”, relates to A team wants a one-time historical investigation without turning all old data into hot analytics logs. It would not prove that Group or associate relevant bookmarks with the appropriate Sentinel investigation or incident. met the current requirement. This scenario concerns: A researcher finds several bookmarks linked to one potential intrusion.

Scheduling a query tells when a hunt runs and whether it completes. It does not create the needed KQL summarization of repeated outbound connections and their destination timing.

“Join or correlate current IOC data with the appropriate Sentinel network telemetry.” would prioritize A hunter asks for all events with malicious IPs from a threat intelligence table. That does not directly address the stated issue: A hunter needs to identify network beaconing at consistent intervals.

This alternative, “Create a Microsoft Sentinel hunting query with appropriate KQL and a defined data source.”, is appropriate for A hunter wants an ad-hoc Sentinel query for suspicious sign-in activity and may save it for reuse. It does not establish the required outcome of The controlled periodic connection sequence is prioritized over irregular benign traffic. This scenario concerns: A hunter needs to identify network beaconing at consistent intervals.

Authorized notebook access validates resource permissions for investigation code. It does not show that KQL detects periodic beacon connections while deprioritizing irregular benign traffic.

“The seeded authentication event is returned and the saved query is available to authorized hunters.” tests A hunter wants an ad-hoc Sentinel query for suspicious sign-in activity and may save it for reuse. It does not demonstrate the target outcome of The controlled periodic connection sequence is prioritized over irregular benign traffic. in the case described. This scenario concerns: A hunter needs to identify network beaconing at consistent intervals.

This proposed result, “The job completes with historical results and documented source tables.”, relates to A team wants a one-time historical investigation without turning all old data into hot analytics logs. It would not prove that Develop a Sentinel KQL hunt that summarizes destination timing and repeated connections. met the current requirement. This scenario concerns: A hunter needs to identify network beaconing at consistent intervals.