diff --git a/integration_tests/src/main/python/conditionals_test.py b/integration_tests/src/main/python/conditionals_test.py
index 88a79dc17000..e983d33e1bef 100644
--- a/integration_tests/src/main/python/conditionals_test.py
+++ b/integration_tests/src/main/python/conditionals_test.py
@@ -137,7 +137,7 @@ def test_coalesce(data_gen):
     s1 = with_cpu_session(
         lambda spark: gen_scalar(data_gen, force_no_nulls=not isinstance(data_gen, NullGen)))
     # we want lots of nulls
-    gen = StructGen([('_c' + str(x), data_gen.copy_special_case(None, weight=1000.0)) 
+    gen = StructGen([('_c' + str(x), data_gen.copy_special_case(None, weight=1000.0))
         for x in range(0, num_cols)], nullable=False)
     command_args = [f.col('_c' + str(x)) for x in range(0, num_cols)]
     command_args.append(s1)
@@ -208,13 +208,12 @@ def test_conditional_with_side_effects_col_scalar(data_gen):
 
 @pytest.mark.parametrize('data_gen', [mk_str_gen('[0-9]{1,20}')], ids=idfn)
 @pytest.mark.skipif(not is_jvm_charset_utf8(), reason="regular expressions require UTF-8")
-@datagen_overrides(seed=0, reason='https://github.com/NVIDIA/spark-rapids/issues/9992')
 def test_conditional_with_side_effects_cast(data_gen):
     test_conf=copy_and_update(
         ansi_enabled_conf, {'spark.rapids.sql.regexp.enabled': True})
     assert_gpu_and_cpu_are_equal_collect(
             lambda spark : unary_op_df(spark, data_gen).selectExpr(
-                'IF(a RLIKE "^[0-9]{1,5}\\z", CAST(a AS INT), 0)'),
+                r'IF(a RLIKE "^\\d{5,}", CAST(SUBSTR(a, 0, 5) AS INT), 0)'),
             conf = test_conf)
 
 @pytest.mark.parametrize('data_gen', [mk_str_gen('[0-9]{1,9}')], ids=idfn)
@@ -223,11 +222,10 @@ def test_conditional_with_side_effects_case_when(data_gen):
     test_conf=copy_and_update(
         ansi_enabled_conf, {'spark.rapids.sql.regexp.enabled': True})
     assert_gpu_and_cpu_are_equal_collect(
-            lambda spark : unary_op_df(spark, data_gen).selectExpr(
-                'CASE \
-                WHEN a RLIKE "^[0-9]{1,3}\\z" THEN CAST(a AS INT) \
-                WHEN a RLIKE "^[0-9]{4,6}\\z" THEN CAST(a AS INT) + 123 \
-                ELSE -1 END'),
+            lambda spark : unary_op_df(spark, data_gen).select(
+                f.when(f.col('a').rlike(r"^[0-9]{1,3}"), f.col('a').substr(0, 1).cast('INT'))\
+                .when(f.col('a').rlike(r"^[0-9]{4,6}"), f.col('a').substr(0, 4).cast('INT') + f.lit(123))\
+                .otherwise(f.lit(-1))),
                 conf = test_conf)
 
 @pytest.mark.parametrize('data_gen', [mk_str_gen('[a-z]{0,3}')], ids=idfn)