diff --git a/integration_tests/README.md b/integration_tests/README.md
index fa06c75f0f9..9e4ba5a378e 100644
--- a/integration_tests/README.md
+++ b/integration_tests/README.md
@@ -343,6 +343,26 @@ integration tests. For example:
 $ DATAGEN_SEED=1702166057 SPARK_HOME=~/spark-3.4.0-bin-hadoop3 integration_tests/run_pyspark_from_build.sh
 ```
 
+### Running with non-UTC time zone
+For the new added cases, we should check non-UTC time zone is working, or the non-UTC nightly CIs will fail.
+The non-UTC nightly CIs are verifing all cases with non-UTC time zone.
+But only a small amout of cases are verifing with non-UTC time zone in the pre-merge CI due to limited GPU resources.
+When adding cases, should also check non-UTC is working besides the default UTC time zone.
+Please test the following time zones:
+```shell
+$ TZ=Iran ./integration_tests/run_pyspark_from_build.sh
+$ TZ=America/Los_Angeles ./integration_tests/run_pyspark_from_build.sh
+```
+`Iran` is non-DST(Daylight Savings Time) time zone and `America/Los_Angeles` is DST time zone.
+
+If the new added cases failed with non-UTC, then should allow the operator(does not support non-UTC) fallback,
+For example, add the following annotation to the case:
+```python
+non_utc_allow_for_sequence = ['ProjectExec'] # Update after non-utc time zone is supported for sequence
+@allow_non_gpu(*non_utc_allow_for_sequence)
+test_my_new_added_case_for_sequence_operator()
+```
+
 ### Reviewing integration tests in Spark History Server
 
 If the integration tests are run using [run_pyspark_from_build.sh](run_pyspark_from_build.sh) we have
diff --git a/integration_tests/src/main/python/array_test.py b/integration_tests/src/main/python/array_test.py
index c9749865438..e2d7d1b5c81 100644
--- a/integration_tests/src/main/python/array_test.py
+++ b/integration_tests/src/main/python/array_test.py
@@ -17,7 +17,7 @@
 from asserts import assert_gpu_and_cpu_are_equal_collect, assert_gpu_and_cpu_are_equal_sql, assert_gpu_and_cpu_error, assert_gpu_fallback_collect
 from data_gen import *
 from conftest import is_databricks_runtime
-from marks import incompat
+from marks import incompat, allow_non_gpu
 from spark_session import is_before_spark_313, is_before_spark_330, is_databricks113_or_later, is_spark_330_or_later, is_databricks104_or_later, is_spark_33X, is_spark_340_or_later, is_spark_330, is_spark_330cdh
 from pyspark.sql.types import *
 from pyspark.sql.types import IntegralType
@@ -332,11 +332,14 @@ def do_it(spark):
 
     assert_gpu_and_cpu_are_equal_collect(do_it)
 
+non_utc_allow_for_sequence = ['ProjectExec'] # Update after non-utc time zone is supported for sequence
+@allow_non_gpu(*non_utc_allow_for_sequence)
 def test_array_transform_non_deterministic():
     assert_gpu_and_cpu_are_equal_collect(
             lambda spark : spark.range(1).selectExpr("transform(sequence(0, cast(rand(5)*10 as int) + 1), x -> x * 22) as t"),
             conf={'spark.rapids.sql.castFloatToIntegralTypes.enabled': True})
 
+@allow_non_gpu(*non_utc_allow_for_sequence)
 def test_array_transform_non_deterministic_second_param():
     assert_gpu_and_cpu_are_equal_collect(
             lambda spark : debug_df(spark.range(1).selectExpr("transform(sequence(0, cast(rand(5)*10 as int) + 1), (x, i) -> x + i) as t")),