diff --git a/integration_tests/src/main/python/cast_test.py b/integration_tests/src/main/python/cast_test.py
index d19c2d6a259..f3a3b6b5265 100644
--- a/integration_tests/src/main/python/cast_test.py
+++ b/integration_tests/src/main/python/cast_test.py
@@ -368,11 +368,28 @@ def test_cast_long_to_decimal_overflow():
     DecimalType(30, 3),
     DecimalType(5, -3),
     DecimalType(3, 0)], ids=idfn)
-def test_cast_floating_point_to_decimal(data_gen, to_type):
+def test_cast_floating_point_to_decimal_ansi_off(data_gen, to_type):
     assert_gpu_and_cpu_are_equal_collect(
         lambda spark : unary_op_df(spark, data_gen).select(
             f.col('a'), f.col('a').cast(to_type)),
-        conf={'spark.rapids.sql.castFloatToDecimal.enabled': 'true'})
+        conf=copy_and_update(
+               ansi_disabled_conf,
+               {'spark.rapids.sql.castFloatToDecimal.enabled': 'true'}))
+
+
+@pytest.mark.skip("https://github.com/NVIDIA/spark-rapids/issues/11550")
+@pytest.mark.parametrize('data_gen', [FloatGen(special_cases=_float_special_cases)])
+@pytest.mark.parametrize('to_type', [DecimalType(7, 1)])
+def test_cast_floating_point_to_decimal_ansi_on(data_gen, to_type):
+    assert_gpu_and_cpu_error(
+        lambda spark : unary_op_df(spark, data_gen).select(
+                         f.col('a'),
+                         f.col('a').cast(to_type)).collect(),
+        conf=copy_and_update(
+            ansi_enabled_conf,
+            {'spark.rapids.sql.castFloatToDecimal.enabled': 'true'}),
+        error_message="[NUMERIC_VALUE_OUT_OF_RANGE.WITH_SUGGESTION]")
+
 
 # casting these types to string should be passed
 basic_gens_for_cast_to_string = [ByteGen, ShortGen, IntegerGen, LongGen, StringGen, BooleanGen, DateGen, TimestampGen]
@@ -838,7 +855,14 @@ def test_cast_fallback_not_UTC(from_gen, to_type):
         {"spark.sql.session.timeZone": "+08",
          "spark.rapids.sql.castStringToTimestamp.enabled": "true"})
 
-def test_cast_date_integral_and_fp():
+
+def test_cast_date_integral_and_fp_ansi_off():
+    """
+    This tests that a date column can be cast to different numeric/floating-point types.
+    This needs to be tested with ANSI disabled, because some of these conversions are
+    not ANSI-compliant.
+    """
     assert_gpu_and_cpu_are_equal_collect(
         lambda spark: unary_op_df(spark, date_gen).selectExpr(
-            "cast(a as boolean)", "cast(a as byte)", "cast(a as short)", "cast(a as int)", "cast(a as long)", "cast(a as float)", "cast(a as double)"))
+            "cast(a as boolean)", "cast(a as byte)", "cast(a as short)", "cast(a as int)", "cast(a as long)", "cast(a as float)", "cast(a as double)"),
+            conf=ansi_disabled_conf)