Question 210 The hospital SOC SOC needs to store a proprietary appliance's security records in a queryable Sentinel workspace table, and its change advisory board asks for the technical basis of the recommended method. Which explanation identifies the most relevant capability? Custom tables hold source-specific data beyond built-in connectors. Typed table columns improve accurate temporal queries. Field drift can break ingestion or queries even when the log source remains connected. AMA and DCR govern supported Windows Security event collection. Explanation Correct Answer A:Custom tables hold source-specific data beyond built-in connectors. Incorrect Answers B:Correcting an incoming timestamp being stored as generic text does not store a proprietary appliance's security records in a queryable Sentinel workspace table. C:Investigating a custom log query that fails after a vendor's schema update does not store a proprietary appliance's security records in a queryable Sentinel workspace table. D:Collecting Windows Security log events from Azure VMs through the supported agent connector does not store a proprietary appliance's security records in a queryable Sentinel workspace table.
Question 211 A custom appliance sends JSON to a Log Analytics collection endpoint, but queries against FactoryAudit_CL return no rows. The DCR still refers to a removed destination table. What is the root issue? The KQL query needs a top 10 operator The incident was not escalated to a high-severity owner The DCR destination or output stream mapping no longer targets the existing custom table The endpoint device group has too few members Explanation Correct Answer C:A custom log stream must be mapped to a valid destination table for the records to become queryable there. Incorrect Answers A:Result sorting cannot fix missing ingestion mappings. B:Incident workflow does not govern custom-table output. D:Defender endpoint device-group membership is unrelated to Log Analytics custom streams.
Question 212 A vendor’s proprietary JSON event has arrived in a custom table named FactoryAudit_CL. Which query result validates the custom log design? AzureActivity contains unrelated subscription update events The data collection endpoint exists but the custom table contains no rows FactoryAudit_CL returns rows with the expected mapped columns and correct TimeGenerated values DeviceNetworkEvents shows outbound connections to the vendor gateway Explanation Correct Answer C:Rows in the intended custom table with correctly typed and mapped fields demonstrate usable custom-log ingestion. Incorrect Answers A:AzureActivity does not hold this proprietary device schema. B:An endpoint or collection configuration alone does not prove that source events were stored. D:Endpoint network events do not confirm the custom Log Analytics schema or its ingested content.
Question 213 A regional SOC needs to correct an incoming timestamp being stored as generic text. Its current security configuration cannot meet this specific operational requirement. Which action should the SOC implement? Respect indicator validity and expiration while managing the intelligence store Apply supported ingestion-time DCR transformations after validating detection needs Review schema mappings and upstream field names before rewriting the analytic rule Map or transform source fields to the table schema and proper datetime representation Explanation Correct Answer D:Typed table columns improve accurate temporal queries. Incorrect Answers A:Expired indicators should not be treated as permanently active risk. B:Ingestion transformations can project essential fields from the incoming records. C:Field drift can break ingestion or queries even when the log source remains connected.
Question 214 The telecom provider SOC needs to correct an incoming timestamp being stored as generic text, and its change advisory board asks for the technical basis of the recommended method. Which explanation identifies the most relevant capability? Custom tables hold source-specific data beyond built-in connectors. Typed table columns improve accurate temporal queries. DCR filters control which Syslog records are forwarded. Ingestion transformations can project essential fields from the incoming records. Explanation Correct Answer B:Typed table columns improve accurate temporal queries. Incorrect Answers A:Storing a proprietary appliance's security records in a queryable Sentinel workspace table does not correct an incoming timestamp being stored as generic text. C:Collecting only selected Syslog facilities and severity levels does not correct an incoming timestamp being stored as generic text. D:Preventing irrelevant JSON properties from bloating custom security logs does not correct an incoming timestamp being stored as generic text.
Question 215 A custom log ingests a timestamp field as a string and date-range queries fail even though the source value is parseable. Which explanation best accounts for the specific failure? No supported ingestion-time transformation removes unneeded properties before table storage The DCR transform or destination schema maps the timestamp to string rather than datetime The schema mapping or KQL refers to the old field name after the vendor schema change The DCR's facility and log-level filters are broader than the approved scope Explanation Correct Answer B:The DCR transform or destination schema maps the timestamp to string rather than datetime. Incorrect Answers A:No supported ingestion-time transformation removes unneeded properties before table storage; the DCR transform or destination schema maps the timestamp to string rather than datetime. C:The schema mapping or KQL refers to the old field name after the vendor schema change; the DCR transform or destination schema maps the timestamp to string rather than datetime. D:The DCR's facility and log-level filters are broader than the approved scope; the DCR transform or destination schema maps the timestamp to string rather than datetime.
Question 216 During a controlled investigation, a custom security feed sends an ISO timestamp to a correctly typed custom table. Which observation most directly verifies the intended technical behavior? KQL shows the target column as datetime and time-window filtering succeeds Custom table rows contain the necessary detection columns without the excluded bulky JSON properties The relevant column populates in ingested events and the analytic query evaluates successfully Only matching facility/severity combinations enter the Syslog table for the controlled test Explanation Correct Answer A:KQL shows the target column as datetime and time-window filtering succeeds. Incorrect Answers B:Custom table rows contain the necessary detection columns without the excluded bulky JSON properties. KQL shows the target column as datetime and time-window filtering succeeds. C:The relevant column populates in ingested events and the analytic query evaluates successfully. KQL shows the target column as datetime and time-window filtering succeeds. D:Only matching facility/severity combinations enter the Syslog table for the controlled test. KQL shows the target column as datetime and time-window filtering succeeds.
Question 217 A health network needs to prevent irrelevant JSON properties from bloating custom security logs. Its current security configuration cannot meet this specific operational requirement. Which action should the SOC implement? Review schema mappings and upstream field names before rewriting the analytic rule Create an appropriate custom Log Analytics table with a compatible ingestion path Apply supported ingestion-time DCR transformations after validating detection needs Specify approved Windows event XPath selectors in the DCR Explanation Correct Answer C:Ingestion transformations can project essential fields from the incoming records. Incorrect Answers A:Field drift can break ingestion or queries even when the log source remains connected. B:Custom tables hold source-specific data beyond built-in connectors. D:XPath filtering selects the desired events before ingestion.
Question 218 The manufacturer SOC needs to prevent irrelevant JSON properties from bloating custom security logs, and its change advisory board asks for the technical basis of the recommended method. Which explanation identifies the most relevant capability? CEF connectors accept structured vendor event messages through the supported syslog route. Custom tables hold source-specific data beyond built-in connectors. Ingestion transformations can project essential fields from the incoming records. Typed table columns improve accurate temporal queries. Explanation Correct Answer C:Ingestion transformations can project essential fields from the incoming records. Incorrect Answers A:Ingesting normalized CEF messages from a supported network firewall does not prevent irrelevant JSON properties from bloating custom security logs. B:Storing a proprietary appliance's security records in a queryable Sentinel workspace table does not prevent irrelevant JSON properties from bloating custom security logs. D:Correcting an incoming timestamp being stored as generic text does not prevent irrelevant JSON properties from bloating custom security logs.
Question 219 A JSON appliance adds huge diagnostic arrays that the SOC does not need; the DCR transformation passes all properties unchanged. Which explanation best accounts for the specific failure? The DCR transform or destination schema maps the timestamp to string rather than datetime No supported ingestion-time transformation removes unneeded properties before table storage The schema mapping or KQL refers to the old field name after the vendor schema change The DCR does not collect the facility or severity emitted by the Linux source Explanation Correct Answer B:No supported ingestion-time transformation removes unneeded properties before table storage. Incorrect Answers A:The DCR transform or destination schema maps the timestamp to string rather than datetime. No supported ingestion-time transformation removes unneeded properties before table storage. C:The schema mapping or KQL refers to the old field name after the vendor schema change. No supported ingestion-time transformation removes unneeded properties before table storage. D:The DCR does not collect the facility or severity emitted by the Linux source. No supported ingestion-time transformation removes unneeded properties before table storage.
Question 220 During a controlled investigation, a supported DCR transformation keeps essential security fields while dropping optional verbose properties. Which observation most directly verifies the intended technical behavior? KQL shows the target column as datetime and time-window filtering succeeds Custom table rows contain the necessary detection columns without the excluded bulky JSON properties The relevant column populates in ingested events and the analytic query evaluates successfully The test event reaches the Syslog table and matches its configured collection filters Explanation Correct Answer B:Custom table rows contain the necessary detection columns without the excluded bulky JSON properties. Incorrect Answers A:KQL shows the target column as datetime and time-window filtering succeeds. Custom table rows contain the necessary detection columns without the excluded bulky JSON properties. C:The relevant column populates in ingested events and the analytic query evaluates successfully. Custom table rows contain the necessary detection columns without the excluded bulky JSON properties. D:The test event reaches the Syslog table and matches its configured collection filters. Custom table rows contain the necessary detection columns without the excluded bulky JSON properties.
