[DOCS] Update rollup jobs screenshots (#105624) (#105639)

# Conflicts:
#	docs/images/management_rollup_job_vis.png

docs/management/rollups/create_and_manage_rollups.asciidoc

@@ -64,13 +64,16 @@ You can read more at {ref}/rollup-job-config.html[rollup job configuration].
 === Try it: Create and visualize rolled up data
 
 This example creates a rollup job to capture log data from sample web logs.
-To follow along, add the sample web logs data set.
+Before you start, <<add-sample-data, add the web logs sample data set>>.
 
 In this example, you want data that is older than 7 days in the target index pattern `kibana_sample_data_logs`
-to roll up once a day into the index `rollup_logstash`. You’ll bucket the
+to roll up into the `rollup_logstash` index. You’ll bucket the
 rolled up data on an hourly basis, using 60m for the time bucket configuration.
 This allows for more granular queries, such as 2h and 12h.
 
+For this example, the job will perform the rollup every minute. However, you'd
+typically roll up less frequently in production.
+
 [float]
 ==== Create the rollup job
 
@@ -80,7 +83,7 @@ As you walk through the *Create rollup job* UI, enter the data:
 |*Field* |*Value*
 
 |Name
-|logs_job
+|`logs_job`
 
 |Index pattern
 |`kibana_sample_data_logs`
@@ -89,12 +92,13 @@ As you walk through the *Create rollup job* UI, enter the data:
 |`rollup_logstash`
 
 |Frequency
-|Every day at midnight
+|Every minute
 
 |Page size
 |1000
 
-|Delay (latency buffer)|7d
+|Latency buffer
+|7d
 
 |Date field
 |@timestamp
@@ -118,6 +122,8 @@ As you walk through the *Create rollup job* UI, enter the data:
 |bytes (average)
 |===
 
+On the **Review and save** page, click **Start job now** and **Save**.
+
 The terms, histogram, and metrics fields reflect
 the key information to retain in the rolled up data: where visitors are from (geo.src),
 what operating system they are using (machine.os.keyword),
@@ -133,7 +139,6 @@ rollup index, or you can remove or archive it using <<creating-index-lifecycle-p
 Your next step is to visualize your rolled up data in a vertical bar chart.
 Most visualizations support rolled up data, with the exception of Timelion and Vega visualizations.
 
-
 . Open the main menu, then click *Stack Management > Index Patterns*.
 
 . Click *Create index pattern*, and select *Rollup index pattern* from the dropdown.
@@ -149,7 +154,11 @@ is `rollup_logstash,kibana_sample_data_logs`. In this index pattern, `rollup_log
 matches the rolled up index pattern and `kibana_sample_data_logs` matches the index
 pattern for raw data.
 
-. Open the main menu, click *Dashboard*, then create and add a vertical bar chart.
+. Open the main menu, click *Dashboard*, then *Create dashboard*.
+
+. Set the <<set-time-filter,time filter>> to *Last 90 days*.
+
+. On the dashboard, click *Create visualization*.
  
 . Choose `rollup_logstash,kibana_sample_data_logs`
 as your source to see both the raw and rolled up data.
@@ -157,13 +166,15 @@ as your source to see both the raw and rolled up data.
 [role="screenshot"]
 image::images/management-create-rollup-bar-chart.png[][Create visualization of rolled up data]
 
-. Look at the data in your visualization.
-+
-[role="screenshot"]
-image::images/management_rollup_job_vis.png[][Visualization of rolled up data]
+. Select *Bar vertical stacked* in the chart type dropdown.
 
-. Optionally, create a dashboard that contains visualizations of the rolled up
-data, raw data, or both.
+. Add the `@timestamp` field to the *Horizontal axis*.
+
+. Add the `bytes` field to the *Vertical axis*, defaulting to an `Average of
+bytes`.
++
+{kib} creates a vertical bar chart of your data. Select a section of the chart
+to zoom in.
 +
 [role="screenshot"]
 image::images/management_rollup_job_dashboard.png[][Dashboard with rolled up data]