diff --git a/source/batch-mode/batch-read-config.txt b/source/batch-mode/batch-read-config.txt
index 4761adc..b6a1436 100644
--- a/source/batch-mode/batch-read-config.txt
+++ b/source/batch-mode/batch-read-config.txt
@@ -160,9 +160,9 @@ You can configure the following properties when reading data from MongoDB in bat
        |
        | **Default:** ``false``
 
-   * - ``schemaHint``
+   * - ``schemaHints``
      - | Specifies a partial schema of known field types to use when inferring
-         the schema for the collection. To learn more about the ``schemaHint``
+         the schema for the collection. To learn more about the ``schemaHints``
          option, see the :ref:`spark-schema-hint` section.
        |
        | **Default:** None
diff --git a/source/batch-mode/batch-read.txt b/source/batch-mode/batch-read.txt
index fc03d63..c31dd78 100644
--- a/source/batch-mode/batch-read.txt
+++ b/source/batch-mode/batch-read.txt
@@ -66,8 +66,8 @@ Specify Known Fields with Schema Hints
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 You can specify a schema containing known field values to use during
-schema inference by specifying the ``schemaHint`` configuration option. You can
-specify the ``schemaHint`` option in any of the following Spark formats:
+schema inference by specifying the ``schemaHints`` configuration option. You can
+specify the ``schemaHints`` option in any of the following Spark formats:
 
 .. list-table::
    :header-rows: 1
@@ -90,7 +90,7 @@ specify the ``schemaHint`` option in any of the following Spark formats:
           { "name": "<field name>", "type": "<field type>", "nullable": <true/false> },
           { "name": "<field name>", "type": "<field type>", "nullable": <true/false> }]}
 
-The following example shows how to specify the ``schemaHint`` option in each
+The following example shows how to specify the ``schemaHints`` option in each
 format by using the Spark shell. The example specifies a string-valued field named
 ``"value"`` and an integer-valued field named ``"count"``.
 
@@ -114,7 +114,7 @@ format by using the Spark shell. The example specifies a string-valued field nam
    // Generate JSON format
    mySchema.json
 
-You can also specify the ``schemaHint`` option in the Simple String DDL format,
+You can also specify the ``schemaHints`` option in the Simple String DDL format,
 or in JSON format by using PySpark, as shown in the following example:
 
 .. code-block:: python
diff --git a/source/streaming-mode/streaming-read-config.txt b/source/streaming-mode/streaming-read-config.txt
index 798439d..71d2036 100644
--- a/source/streaming-mode/streaming-read-config.txt
+++ b/source/streaming-mode/streaming-read-config.txt
@@ -133,9 +133,9 @@ You can configure the following properties when reading data from MongoDB in str
        |
        | **Default:** ``false``
 
-   * - ``schemaHint``
+   * - ``schemaHints``
      - | Specifies a partial schema of known field types to use when inferring
-         the schema for the collection. To learn more about the ``schemaHint``
+         the schema for the collection. To learn more about the ``schemaHints``
          option, see the :ref:`spark-schema-hint` section.
        |
        | **Default:** None