Clarify checkpoint location

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

_dashboards/management/accelerate-external-data.md

@@ -77,7 +77,7 @@ OpenSearch creates a new index from the covering index data. You can use this ne
 
 1. For **Index name**, enter a valid index name. Note that each table can have multiple covering indexes.
 2. Choose a **Refresh type**. By default, OpenSearch automatically refreshes the index. Otherwise, you must manually trigger a refresh using a REFRESH statement.
-3. Enter a **Checkpoint location**, which is a path for refresh job checkpoints. The location must be a path in an HDFS compatible file system. 
+3. Enter a **Checkpoint location**, which is a path for refresh job checkpoints. The location must be a path in a file system compatible with the Hadoop Distributed File System (HDFS). For more information, see [Starting streaming queries](https://spark.apache.org/docs/3.5.1/structured-streaming-programming-guide.html#starting-streaming-queries).
 4. Define the covering index fields by selecting **(add fields here)** under **Covering index definition**. 
 5. Select **Create acceleration** to apply your covering index settings.
 6. View the covering index query details and then click **Run**. OpenSearch adds your index to the left navigation pane.

_dashboards/management/scheduled-query-acceleration.md

@@ -96,7 +96,7 @@ When creating indexes using an accelerated query, you can specify the following
 |:--- | :--- | 
 | `auto_refresh`      | Enables automatic refresh for the index. If `true`, the index refreshes automatically at the specified interval. If `false`, refresh must be triggered manually using the `REFRESH` statement. Default is `false`.   |
 | `refresh_interval`  | Defines the time interval between refresh operations for the index, which determines how frequently new data is integrated into the index. This is applicable only when `auto_refresh` is enabled. The interval determines how frequently new data is integrated and can be specified in formats like `1 minute` or `10 seconds`. For valid time units, see [Time units](#time-units).| 
-| `scheduler_mode`    | Specifies the scheduling mode for auto-refresh (internal or external scheduling). The external scheduler requires a `checkpoint_location` (a path for refresh job checkpoints) for state management. Valid values are `internal` and `external`.| 
+| `scheduler_mode`    | Specifies the scheduling mode for auto-refresh (internal or external scheduling). The external scheduler requires a `checkpoint_location` (a path for refresh job checkpoints) for state management. For more information, see [Starting streaming queries](https://spark.apache.org/docs/3.5.1/structured-streaming-programming-guide.html#starting-streaming-queries). Valid values are `internal` and `external`.| 
 
 For more information and additional available parameters, see [Flint index refresh](https://github.com/opensearch-project/opensearch-spark/blob/main/docs/index.md#flint-index-refresh).