diff --git a/samples/snippets/conftest.py b/samples/snippets/conftest.py
index 69cef8727d..e8253bc5a7 100644
--- a/samples/snippets/conftest.py
+++ b/samples/snippets/conftest.py
@@ -12,9 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Generator, Iterator
+from typing import Iterator
 
-from google.cloud import bigquery, storage
+from google.cloud import bigquery
 import pytest
 import test_utils.prefixer
 
@@ -42,27 +42,11 @@ def bigquery_client() -> bigquery.Client:
     return bigquery_client
 
 
-@pytest.fixture(scope="session")
-def storage_client(project_id: str) -> storage.Client:
-    return storage.Client(project=project_id)
-
-
 @pytest.fixture(scope="session")
 def project_id(bigquery_client: bigquery.Client) -> str:
     return bigquery_client.project
 
 
-@pytest.fixture(scope="session")
-def gcs_bucket(storage_client: storage.Client) -> Generator[str, None, None]:
-    bucket_name = "bigframes_blob_test"
-
-    yield bucket_name
-
-    bucket = storage_client.get_bucket(bucket_name)
-    for blob in bucket.list_blobs():
-        blob.delete()
-
-
 @pytest.fixture(autouse=True)
 def reset_session() -> None:
     """An autouse fixture ensuring each sample runs in a fresh session.
@@ -94,6 +78,11 @@ def dataset_id_eu(bigquery_client: bigquery.Client, project_id: str) -> Iterator
     bigquery_client.delete_dataset(dataset, delete_contents=True, not_found_ok=True)
 
 
+@pytest.fixture(scope="session")
+def gcs_dst_bucket() -> str:
+    return "gs://bigframes_blob_test"
+
+
 @pytest.fixture
 def random_model_id(
     bigquery_client: bigquery.Client, project_id: str, dataset_id: str
diff --git a/samples/snippets/multimodal_test.py b/samples/snippets/multimodal_test.py
index 1ea6a3f0a6..087299aa0a 100644
--- a/samples/snippets/multimodal_test.py
+++ b/samples/snippets/multimodal_test.py
@@ -13,9 +13,9 @@
 # limitations under the License.
 
 
-def test_multimodal_dataframe(gcs_bucket: str) -> None:
+def test_multimodal_dataframe(gcs_dst_bucket: str) -> None:
     # destination folder must be in a GCS bucket that the BQ connection service account (default or user provided) has write access to.
-    dst_bucket = f"gs://{gcs_bucket}"
+    dst_bucket = gcs_dst_bucket
     # [START bigquery_dataframes_multimodal_dataframe_create]
     import bigframes
 
diff --git a/samples/snippets/sessions_and_io_test.py b/samples/snippets/sessions_and_io_test.py
index 06f0c4ab3c..24290c7279 100644
--- a/samples/snippets/sessions_and_io_test.py
+++ b/samples/snippets/sessions_and_io_test.py
@@ -13,11 +13,10 @@
 # limitations under the License.
 
 
-def test_sessions_and_io(project_id: str, dataset_id: str, gcs_bucket: str) -> None:
+def test_sessions_and_io(project_id: str, dataset_id: str) -> None:
     YOUR_PROJECT_ID = project_id
     YOUR_DATASET_ID = dataset_id
     YOUR_LOCATION = "us"
-    YOUR_BUCKET = gcs_bucket
 
     # [START bigquery_dataframes_create_and_use_session_instance]
     import bigframes
@@ -140,15 +139,6 @@ def test_sessions_and_io(project_id: str, dataset_id: str, gcs_bucket: str) -> N
     # [END bigquery_dataframes_read_data_from_csv]
     assert df is not None
 
-    # [START bigquery_dataframes_write_data_to_csv]
-    import bigframes.pandas as bpd
-
-    df = bpd.DataFrame({"my_col": [1, 2, 3]})
-    # Write a dataframe to a CSV file in GCS
-    df.to_csv(f"gs://{YOUR_BUCKET}/myfile*.csv")
-    # [END bigquery_dataframes_write_data_to_csv]
-    assert df is not None
-
     # [START bigquery_dataframes_read_data_from_bigquery_table]
     import bigframes.pandas as bpd