diff --git a/python/ray/train/tests/test_base_trainer.py b/python/ray/train/tests/test_base_trainer.py
index 93276e26d9f94..8beb6ab289a5c 100644
--- a/python/ray/train/tests/test_base_trainer.py
+++ b/python/ray/train/tests/test_base_trainer.py
@@ -183,9 +183,13 @@ def train_loop(self):
     )
     tune.run(trainer.as_trainable(), num_samples=4)
 
-    # TODO(ekl/sang) this currently fails.
-    # Check we don't deadlock with too low of a fraction either.
-    scale_config = ScalingConfig(num_workers=1, _max_cpu_fraction_per_node=0.01)
+    # Needs to request 0 CPU for the trainer otherwise the pg
+    # will require {CPU: 1} * 2 resources, which means
+    # _max_cpu_fraction_per_node == 0.01 cannot schedule it
+    # (because this only allows to have 1 CPU for pg per node).
+    scale_config = ScalingConfig(
+        num_workers=1, _max_cpu_fraction_per_node=0.01, trainer_resources={"CPU": 0}
+    )
     trainer = DummyTrainer(
         train_loop,
         scaling_config=scale_config,