update investigate issues section

docs/en/serverless/logging/monitor-datasets.mdx

@@ -33,8 +33,20 @@ The percentage of degraded documents determines the data set's quality according
 
 Opening the details of a specific data set shows the degraded documents history, a summary for the data set, and other details that can help you determine if you need to investigate any issues.
 
-### Investigate issues in individual data sets
-To investigate issues in data sets with poor or degraded quality:
+### Investigate issues
+The Data Set Quality page helps you find ignored fields and investigate issues.
+Use the each dataset's details to see commonly ignored fields, or use Logs Explorer to find ignored fields in an individual log.
+
+#### Find ignored fields in data sets
+Expand the details of a dataset with poor or degraded quality to see ignored fields that have been ignored:
+
+1. From the data set table, click <DocIcon type="expand" title="expand icon" /> next to a data set with poor or degraded quality.
+1. Scroll down to **Degraded fields**.
+
+the **Degraded fields** section shows fields that have been ignored, the number of documents with
+
+#### Find ignored fields in individual logs
+Use Logs Explorer to find ignored fields in individual logs:
 
 1. Find data sets with degraded documents using the **Degraded Docs** column of the data sets table.
 1. Click the percentage in the **Degraded Docs** column to open the data set in Logs Explorer.
@@ -44,7 +56,7 @@ Under the *actions* column, you'll see the degraded document icon (<DocIcon type
 
 Now that you know which documents contain ignored fields, examine them more closely to find the origin of the issue.
 
-1. Under the **actions** column, click (<DocIcon type="expand" title="expand icon" />) to open the log details.
+1. Under the **actions** column, click <DocIcon type="expand" title="expand icon" /> to open the log details.
 1. Select the **JSON** tab.
 1. Scroll towards the end of the JSON to find the `ignored_field_values`.