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Ad hoc KQL jobs run a defined historical computation without a repeating schedule. This addresses run one-time historical lake analysis; it does not directly satisfy satisfy KQL job onboarding prerequisites.

KQL jobs support asynchronous historical analysis using full eligible KQL operations. That action focuses on correlate historical low-fidelity lake records rather than the specified need to satisfy KQL job onboarding prerequisites.

Scheduled jobs materialize selected lake-derived results for downstream analytics. This addresses promote daily historical findings into analytics; it does not directly satisfy satisfy KQL job onboarding prerequisites.

Saved hunting queries preserve repeatable investigations without immediately creating incidents. This addresses reuse a vetted threat-hunting hypothesis; it does not directly satisfy convert a confirmed hunt into active monitoring.

Hunting content must track changes to data connector and table fields. Its intended use is to restore an outdated saved hunt, whereas this case requires the analyst to convert a confirmed hunt into active monitoring.

Hunting bookmarks preserve selected query evidence for continued triage. This addresses preserve a noteworthy hunting result; it does not directly satisfy convert a confirmed hunt into active monitoring.

Notebook jobs can execute approved notebooks on a schedule where supported. This addresses automate recurring notebook analysis; it does not directly satisfy restore notebook job dependencies.

Job creation paths differ by job type and are not interchangeable. Its intended use is to schedule notebooks through the correct interface, whereas this case requires the analyst to restore notebook job dependencies.

Successful computation alone does not guarantee a separate dashboard consumed its output. That action focuses on connect scheduled notebook output to reporting rather than the specified need to restore notebook job dependencies.

KQL lake coverage does not retroactively include all prior historical archive data. Its intended use is to retrieve pre-onboarding legacy archive evidence, whereas this case requires the analyst to establish exact historical search completeness.

KQL jobs can correlate supported data lake records with rich KQL operators. That action focuses on query recent lake records across tables rather than the specified need to establish exact historical search completeness.

Interactive hot queries are a better fit for immediate small-horizon analysis. This addresses avoid unnecessary historical computation; it does not directly satisfy establish exact historical search completeness.

Stale promoted output can mask failed background query jobs. This addresses repair a failed scheduled lake enrichment; it does not directly satisfy decommission outdated lake jobs.

Jobs can materialize valid results in an unintended location if output bindings are wrong. That action focuses on prevent lake job results landing in a test table rather than the specified need to decommission outdated lake jobs.

Historical scan cost should match the needed cadence and lookback. This addresses right-size costly historical job schedules; it does not directly satisfy decommission outdated lake jobs.

Case linkage helps keep the original hunting evidence with the response history. This addresses connect proactive hunt evidence to an incident; it does not directly satisfy prioritize meaningful hunting bookmarks.

Bookmarks retain selected evidence from an investigative query. Its intended use is to preserve a specific hunting finding, whereas this case requires the analyst to prioritize meaningful hunting bookmarks.

Historical evidence does not establish ongoing attack activity. This addresses distinguish old hunt evidence from current threat; it does not directly satisfy prioritize meaningful hunting bookmarks.

Notebook results may contain confidential incident and identity evidence. This addresses prevent notebook investigation data leaks; it does not directly satisfy secure notebook data access.

Notebook code can retain environment-specific workspace identifiers. Its intended use is to correct a copied notebook workspace target, whereas this case requires the analyst to secure notebook data access.

Notebooks combine programmatic queries, data processing and visual analysis. That action focuses on conduct exploratory notebook-based security analysis rather than the specified need to secure notebook data access.

Notebook execution depends on compatible runtime libraries and environment state. Its intended use is to restore notebook job dependencies, whereas this case requires the analyst to automate recurring notebook analysis.

Successful computation alone does not guarantee a separate dashboard consumed its output. That action focuses on connect scheduled notebook output to reporting rather than the specified need to automate recurring notebook analysis.

Job creation paths differ by job type and are not interchangeable. This addresses schedule notebooks through the correct interface; it does not directly satisfy automate recurring notebook analysis.

Summary rules are designed for frequent aggregate materialization. This addresses sustain recurring short-interval metrics; it does not directly satisfy run a one-time long-range correlation.

Detection rules directly process eligible arriving events with lower latency. That action focuses on choose active detection for immediate threats rather than the specified need to run a one-time long-range correlation.

Search jobs materialize relevant original records for one-table historical investigations. This addresses retrieve detailed historical records; it does not directly satisfy run a one-time long-range correlation.

Summary rules depend on valid input schema and successful scheduled runs. This addresses restore broken summary rule output; it does not directly satisfy retain per-connection forensic detail.

Derived summary tables make selected low-cost-tier information available for active analysis. Its intended use is to build hot detection signals from verbose logs, whereas this case requires the analyst to retain per-connection forensic detail.

Summary rules precompute frequent rollups from high-volume logs for faster queries. This addresses produce hourly host flow summaries; it does not directly satisfy retain per-connection forensic detail.

Notebook source can be shared and must not expose long-lived credentials. This addresses secure notebook data access; it does not directly satisfy conduct exploratory notebook-based security analysis.

Notebook results may contain confidential incident and identity evidence. Its intended use is to prevent notebook investigation data leaks, whereas this case requires the analyst to conduct exploratory notebook-based security analysis.

Notebook code can retain environment-specific workspace identifiers. That action focuses on correct a copied notebook workspace target rather than the specified need to conduct exploratory notebook-based security analysis.