diff --git a/samples/snippets/conftest.py b/samples/snippets/conftest.py
index b33aebfd16..6c2fdf9497 100644
--- a/samples/snippets/conftest.py
+++ b/samples/snippets/conftest.py
@@ -16,6 +16,7 @@
 from uuid import uuid4
 
 from google.cloud import aiplatform, aiplatform_v1beta1
+from google.cloud import bigquery
 from google.cloud import storage
 import pytest
 
@@ -91,6 +92,14 @@ def featurestore_client():
     yield featurestore_client
 
 
+@pytest.fixture
+def bigquery_client():
+    bigquery_client = bigquery.Client(
+        project=os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")
+    )
+    yield bigquery_client
+
+
 # Shared setup/teardown.
 @pytest.fixture()
 def teardown_batch_prediction_job(shared_state, job_client):
@@ -213,16 +222,24 @@ def teardown_dataset(shared_state, dataset_client):
 def teardown_featurestore(shared_state, featurestore_client):
     yield
 
-    # Delete the created featurestore
-    featurestore_client.delete_featurestore(name=shared_state["featurestore_name"])
+    # Force delete the created featurestore
+    force_delete_featurestore_request = {
+        "name": shared_state["featurestore_name"],
+        "force": True,
+    }
+    featurestore_client.delete_featurestore(request=force_delete_featurestore_request)
 
 
 @pytest.fixture()
 def teardown_entity_type(shared_state, featurestore_client):
     yield
 
-    # Delete the created entity type
-    featurestore_client.delete_entity_type(name=shared_state["entity_type_name"])
+    # Force delete the created entity type
+    force_delete_entity_type_request = {
+        "name": shared_state["entity_type_name"],
+        "force": True,
+    }
+    featurestore_client.delete_entity_type(request=force_delete_entity_type_request)
 
 
 @pytest.fixture()
@@ -233,6 +250,25 @@ def teardown_feature(shared_state, featurestore_client):
     featurestore_client.delete_feature(name=shared_state["feature_name"])
 
 
+@pytest.fixture()
+def teardown_features(shared_state, featurestore_client):
+    yield
+
+    # Delete the created features
+    for feature_name in shared_state["feature_names"]:
+        featurestore_client.delete_feature(name=feature_name)
+
+
+@pytest.fixture()
+def teardown_batch_read_feature_values(shared_state, bigquery_client):
+    yield
+
+    # Delete the created dataset
+    bigquery_client.delete_dataset(
+        shared_state["destination_data_set"], delete_contents=True, not_found_ok=True
+    )
+
+
 @pytest.fixture()
 def create_endpoint(shared_state, endpoint_client):
     def create(project, location, test_name="temp_deploy_model_test"):
diff --git a/samples/snippets/feature_store_service/batch_create_features_sample.py b/samples/snippets/feature_store_service/batch_create_features_sample.py
new file mode 100644
index 0000000000..09fe48954c
--- /dev/null
+++ b/samples/snippets/feature_store_service/batch_create_features_sample.py
@@ -0,0 +1,74 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Create features in bulk for an existing type.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
+# [START aiplatform_batch_create_features_sample]
+from google.cloud import aiplatform_v1beta1 as aiplatform
+
+
+def batch_create_features_sample(
+    project: str,
+    featurestore_id: str,
+    entity_type_id: str,
+    location: str = "us-central1",
+    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
+    timeout: int = 300,
+):
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
+    client_options = {"api_endpoint": api_endpoint}
+    # Initialize client that will be used to create and send requests.
+    # This client only needs to be created once, and can be reused for multiple requests.
+    client = aiplatform.FeaturestoreServiceClient(client_options=client_options)
+    parent = f"projects/{project}/locations/{location}/featurestores/{featurestore_id}/entityTypes/{entity_type_id}"
+    age_feature = aiplatform.Feature(
+        value_type=aiplatform.Feature.ValueType.INT64, description="User age",
+    )
+    age_feature_request = aiplatform.CreateFeatureRequest(
+        feature=age_feature, feature_id="age"
+    )
+
+    gender_feature = aiplatform.Feature(
+        value_type=aiplatform.Feature.ValueType.STRING, description="User gender"
+    )
+    gender_feature_request = aiplatform.CreateFeatureRequest(
+        feature=gender_feature, feature_id="gender"
+    )
+
+    liked_genres_feature = aiplatform.Feature(
+        value_type=aiplatform.Feature.ValueType.STRING_ARRAY,
+        description="An array of genres that this user liked",
+    )
+    liked_genres_feature_request = aiplatform.CreateFeatureRequest(
+        feature=liked_genres_feature, feature_id="liked_genres"
+    )
+
+    requests = [
+        age_feature_request,
+        gender_feature_request,
+        liked_genres_feature_request,
+    ]
+    batch_create_features_request = aiplatform.BatchCreateFeaturesRequest(
+        parent=parent, requests=requests
+    )
+    lro_response = client.batch_create_features(request=batch_create_features_request)
+    print("Long running operation:", lro_response.operation.name)
+    batch_create_features_response = lro_response.result(timeout=timeout)
+    print("batch_create_features_response:", batch_create_features_response)
+
+
+# [END aiplatform_batch_create_features_sample]
diff --git a/samples/snippets/feature_store_service/batch_create_features_sample_test.py b/samples/snippets/feature_store_service/batch_create_features_sample_test.py
new file mode 100644
index 0000000000..8864bd5741
--- /dev/null
+++ b/samples/snippets/feature_store_service/batch_create_features_sample_test.py
@@ -0,0 +1,58 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+from uuid import uuid4
+
+import batch_create_features_sample
+import create_entity_type_sample
+
+import pytest
+
+import helpers
+
+PROJECT_ID = os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")
+
+
+@pytest.fixture(scope="function", autouse=True)
+def teardown(teardown_entity_type):
+    yield
+
+
+def setup_temp_entity_type(featurestore_id, entity_type_id, capsys):
+    create_entity_type_sample.create_entity_type_sample(
+        project=PROJECT_ID,
+        featurestore_id=featurestore_id,
+        entity_type_id=entity_type_id,
+    )
+    out, _ = capsys.readouterr()
+    assert "create_entity_type_response" in out
+    return helpers.get_featurestore_resource_name(out)
+
+
+def test_ucaip_generated_batch_create_features_sample_vision(capsys, shared_state):
+    featurestore_id = "perm_sample_featurestore"
+    entity_type_id = f"users_{uuid4()}".replace("-", "_")[:60]
+    entity_type_name = setup_temp_entity_type(featurestore_id, entity_type_id, capsys)
+    location = "us-central1"
+    batch_create_features_sample.batch_create_features_sample(
+        project=PROJECT_ID,
+        featurestore_id=featurestore_id,
+        entity_type_id=entity_type_id,
+        location=location,
+    )
+    out, _ = capsys.readouterr()
+    assert "batch_create_features_response" in out
+
+    shared_state["entity_type_name"] = entity_type_name
diff --git a/samples/snippets/feature_store_service/batch_read_feature_values_sample.py b/samples/snippets/feature_store_service/batch_read_feature_values_sample.py
new file mode 100644
index 0000000000..26fa7bdca0
--- /dev/null
+++ b/samples/snippets/feature_store_service/batch_read_feature_values_sample.py
@@ -0,0 +1,86 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Batch read feature values from a featurestore, as determined by your read
+# instances list file, to export data.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
+# [START aiplatform_batch_read_feature_values_sample]
+from google.cloud import aiplatform_v1beta1 as aiplatform
+
+
+def batch_read_feature_values_sample(
+    project: str,
+    featurestore_id: str,
+    input_csv_file: str,
+    destination_table_uri: str,
+    location: str = "us-central1",
+    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
+    timeout: int = 300,
+):
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
+    client_options = {"api_endpoint": api_endpoint}
+    # Initialize client that will be used to create and send requests.
+    # This client only needs to be created once, and can be reused for multiple requests.
+    client = aiplatform.FeaturestoreServiceClient(client_options=client_options)
+    featurestore = (
+        f"projects/{project}/locations/{location}/featurestores/{featurestore_id}"
+    )
+    csv_read_instances = aiplatform.CsvSource(
+        gcs_source=aiplatform.GcsSource(uris=[input_csv_file])
+    )
+    destination = aiplatform.FeatureValueDestination(
+        bigquery_destination=aiplatform.BigQueryDestination(
+            # Output to BigQuery table created earlier
+            output_uri=destination_table_uri
+        )
+    )
+
+    users_feature_selector = aiplatform.FeatureSelector(
+        id_matcher=aiplatform.IdMatcher(ids=["age", "gender", "liked_genres"])
+    )
+    users_entity_type_spec = aiplatform.BatchReadFeatureValuesRequest.EntityTypeSpec(
+        # Read the 'age', 'gender' and 'liked_genres' features from the 'perm_users' entity
+        entity_type_id="perm_users",
+        feature_selector=users_feature_selector,
+    )
+
+    movies_feature_selector = aiplatform.FeatureSelector(
+        id_matcher=aiplatform.IdMatcher(ids=["*"])
+    )
+    movies_entity_type_spec = aiplatform.BatchReadFeatureValuesRequest.EntityTypeSpec(
+        # Read the all features from the 'perm_movies' entity
+        entity_type_id="perm_movies",
+        feature_selector=movies_feature_selector,
+    )
+
+    entity_type_specs = [users_entity_type_spec, movies_entity_type_spec]
+    # Batch serving request from CSV
+    batch_read_feature_values_request = aiplatform.BatchReadFeatureValuesRequest(
+        featurestore=featurestore,
+        csv_read_instances=csv_read_instances,
+        destination=destination,
+        entity_type_specs=entity_type_specs,
+    )
+    lro_response = client.batch_read_feature_values(
+        request=batch_read_feature_values_request
+    )
+    print("Long running operation:", lro_response.operation.name)
+    batch_read_feature_values_response = lro_response.result(timeout=timeout)
+    print("batch_read_feature_values_response:", batch_read_feature_values_response)
+
+
+# [END aiplatform_batch_read_feature_values_sample]
diff --git a/samples/snippets/feature_store_service/batch_read_feature_values_sample_test.py b/samples/snippets/feature_store_service/batch_read_feature_values_sample_test.py
new file mode 100644
index 0000000000..4432310476
--- /dev/null
+++ b/samples/snippets/feature_store_service/batch_read_feature_values_sample_test.py
@@ -0,0 +1,70 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from datetime import datetime
+import os
+
+import batch_read_feature_values_sample
+from google.cloud import bigquery
+
+import pytest
+
+PROJECT_ID = os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")
+LOCATION = "us-central1"
+INPUT_CSV_FILE = "gs://cloud-samples-data-us-central1/vertex-ai/feature-store/datasets/movie_prediction_perm.csv"
+
+
+@pytest.fixture(scope="function", autouse=True)
+def teardown(teardown_batch_read_feature_values):
+    yield
+
+
+def setup_test():
+    # Output dataset
+    destination_data_set = "movie_predictions_" + datetime.now().strftime(
+        "%Y%m%d%H%M%S"
+    )
+    # Output table. Make sure that the table does NOT already exist, the
+    # BatchReadFeatureValues API cannot overwrite an existing table.
+    destination_table_name = "training_data"
+    DESTINATION_PATTERN = "bq://{project}.{dataset}.{table}"
+    destination_table_uri = DESTINATION_PATTERN.format(
+        project=PROJECT_ID, dataset=destination_data_set, table=destination_table_name
+    )
+    # Create dataset
+    bq_client = bigquery.Client(project=PROJECT_ID)
+    dataset_id = "{}.{}".format(bq_client.project, destination_data_set)
+    dataset = bigquery.Dataset(dataset_id)
+    dataset.location = LOCATION
+    dataset = bq_client.create_dataset(dataset)
+    print("Created dataset {}.{}".format(bq_client.project, dataset.dataset_id))
+    return destination_data_set, destination_table_uri
+
+
+def test_ucaip_generated_batch_read_feature_values_sample_vision(capsys, shared_state):
+    destination_data_set, destination_table_uri = setup_test()
+    featurestore_id = "perm_sample_featurestore"
+
+    batch_read_feature_values_sample.batch_read_feature_values_sample(
+        project=PROJECT_ID,
+        featurestore_id=featurestore_id,
+        input_csv_file=INPUT_CSV_FILE,
+        destination_table_uri=destination_table_uri,
+    )
+    out, _ = capsys.readouterr()
+    assert "batch_read_feature_values_response" in out
+    with capsys.disabled():
+        print(out)
+
+    shared_state["destination_data_set"] = destination_data_set
diff --git a/samples/snippets/feature_store_service/create_entity_type_sample.py b/samples/snippets/feature_store_service/create_entity_type_sample.py
index 81e938c6bd..3e0a34b432 100644
--- a/samples/snippets/feature_store_service/create_entity_type_sample.py
+++ b/samples/snippets/feature_store_service/create_entity_type_sample.py
@@ -12,6 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+# Create an entity type so that you can create its related features.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
 # [START aiplatform_create_entity_type_sample]
 from google.cloud import aiplatform_v1beta1 as aiplatform
 
@@ -25,7 +29,8 @@ def create_entity_type_sample(
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
     timeout: int = 300,
 ):
-    # The AI Platform services require regional API endpoints.
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.
     # This client only needs to be created once, and can be reused for multiple requests.
diff --git a/samples/snippets/feature_store_service/create_feature_sample.py b/samples/snippets/feature_store_service/create_feature_sample.py
index e3ac2b1933..fd0c2fdaec 100644
--- a/samples/snippets/feature_store_service/create_feature_sample.py
+++ b/samples/snippets/feature_store_service/create_feature_sample.py
@@ -12,6 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+# Create a single feature for an existing entity type.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
 # [START aiplatform_create_feature_sample]
 from google.cloud import aiplatform_v1beta1 as aiplatform
 
@@ -27,7 +31,8 @@ def create_feature_sample(
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
     timeout: int = 300,
 ):
-    # The AI Platform services require regional API endpoints.
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.
     # This client only needs to be created once, and can be reused for multiple requests.
diff --git a/samples/snippets/feature_store_service/create_featurestore_sample.py b/samples/snippets/feature_store_service/create_featurestore_sample.py
index aa2936e8d4..85e4c564bb 100644
--- a/samples/snippets/feature_store_service/create_featurestore_sample.py
+++ b/samples/snippets/feature_store_service/create_featurestore_sample.py
@@ -12,6 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+# Create a featurestore resource to contain entity types and features.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
 # [START aiplatform_create_featurestore_sample]
 from google.cloud import aiplatform_v1beta1 as aiplatform
 
@@ -24,7 +28,8 @@ def create_featurestore_sample(
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
     timeout: int = 300,
 ):
-    # The AI Platform services require regional API endpoints.
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.
     # This client only needs to be created once, and can be reused for multiple requests.
diff --git a/samples/snippets/feature_store_service/delete_featurestore_sample.py b/samples/snippets/feature_store_service/delete_featurestore_sample.py
index 7b16e835b9..78e7dc35f9 100644
--- a/samples/snippets/feature_store_service/delete_featurestore_sample.py
+++ b/samples/snippets/feature_store_service/delete_featurestore_sample.py
@@ -12,6 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+# Delete a featurestore.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
 # [START aiplatform_delete_featurestore_sample]
 from google.cloud import aiplatform_v1beta1 as aiplatform
 
@@ -23,7 +27,8 @@ def delete_featurestore_sample(
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
     timeout: int = 300,
 ):
-    # The AI Platform services require regional API endpoints.
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
     client_options = {"api_endpoint": api_endpoint}
     # Initialize client that will be used to create and send requests.
     # This client only needs to be created once, and can be reused for multiple requests.
diff --git a/samples/snippets/feature_store_service/import_feature_values_sample.py b/samples/snippets/feature_store_service/import_feature_values_sample.py
new file mode 100644
index 0000000000..91f7a71a30
--- /dev/null
+++ b/samples/snippets/feature_store_service/import_feature_values_sample.py
@@ -0,0 +1,64 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Bulk import values into a featurestore for existing features.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
+# [START aiplatform_import_feature_values_sample]
+from google.cloud import aiplatform_v1beta1 as aiplatform
+
+
+def import_feature_values_sample(
+    project: str,
+    featurestore_id: str,
+    entity_type_id: str,
+    avro_gcs_uri: str,
+    entity_id_field: str,
+    feature_time_field: str,
+    worker_count: int = 2,
+    location: str = "us-central1",
+    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
+    timeout: int = 300,
+):
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
+    client_options = {"api_endpoint": api_endpoint}
+    # Initialize client that will be used to create and send requests.
+    # This client only needs to be created once, and can be reused for multiple requests.
+    client = aiplatform.FeaturestoreServiceClient(client_options=client_options)
+    entity_type = f"projects/{project}/locations/{location}/featurestores/{featurestore_id}/entityTypes/{entity_type_id}"
+    avro_source = aiplatform.AvroSource(
+        gcs_source=aiplatform.GcsSource(uris=[avro_gcs_uri])
+    )
+    feature_specs = [
+        aiplatform.ImportFeatureValuesRequest.FeatureSpec(id="age"),
+        aiplatform.ImportFeatureValuesRequest.FeatureSpec(id="gender"),
+        aiplatform.ImportFeatureValuesRequest.FeatureSpec(id="liked_genres"),
+    ]
+    import_feature_values_request = aiplatform.ImportFeatureValuesRequest(
+        entity_type=entity_type,
+        avro_source=avro_source,
+        feature_specs=feature_specs,
+        entity_id_field=entity_id_field,
+        feature_time_field=feature_time_field,
+        worker_count=worker_count,
+    )
+    lro_response = client.import_feature_values(request=import_feature_values_request)
+    print("Long running operation:", lro_response.operation.name)
+    import_feature_values_response = lro_response.result(timeout=timeout)
+    print("import_feature_values_response:", import_feature_values_response)
+
+
+# [END aiplatform_import_feature_values_sample]
diff --git a/samples/snippets/feature_store_service/import_feature_values_sample_test.py b/samples/snippets/feature_store_service/import_feature_values_sample_test.py
new file mode 100644
index 0000000000..c7f927cc97
--- /dev/null
+++ b/samples/snippets/feature_store_service/import_feature_values_sample_test.py
@@ -0,0 +1,77 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+from uuid import uuid4
+
+import batch_create_features_sample
+import create_entity_type_sample
+import import_feature_values_sample
+import pytest
+
+import helpers
+
+PROJECT_ID = os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")
+AVRO_GCS_URI = (
+    "gs://cloud-samples-data-us-central1/vertex-ai/feature-store/datasets/users.avro"
+)
+
+
+@pytest.fixture(scope="function", autouse=True)
+def teardown(teardown_entity_type):
+    yield
+
+
+def setup_features(featurestore_id, entity_type_id, capsys):
+    batch_create_features_sample.batch_create_features_sample(
+        project=PROJECT_ID,
+        featurestore_id=featurestore_id,
+        entity_type_id=entity_type_id,
+    )
+    out, _ = capsys.readouterr()
+    assert "batch_create_features_response" in out
+
+
+def setup_temp_entity_type(featurestore_id, entity_type_id, capsys):
+    create_entity_type_sample.create_entity_type_sample(
+        project=PROJECT_ID,
+        featurestore_id=featurestore_id,
+        entity_type_id=entity_type_id,
+    )
+    out, _ = capsys.readouterr()
+    assert "create_entity_type_response" in out
+    return helpers.get_featurestore_resource_name(out)
+
+
+def test_ucaip_generated_import_feature_values_sample_vision(capsys, shared_state):
+    featurestore_id = "perm_sample_featurestore"
+    entity_type_id = f"users_{uuid4()}".replace("-", "_")[:60]
+    entity_type_name = setup_temp_entity_type(featurestore_id, entity_type_id, capsys)
+    setup_features(featurestore_id, entity_type_id, capsys)
+
+    import_feature_values_sample.import_feature_values_sample(
+        project=PROJECT_ID,
+        featurestore_id=featurestore_id,
+        entity_type_id=entity_type_id,
+        avro_gcs_uri=AVRO_GCS_URI,
+        entity_id_field="user_id",
+        feature_time_field="update_time",
+        worker_count=2,
+        timeout=60 * 30,
+    )
+
+    out, _ = capsys.readouterr()
+    assert "imported_feature_value_count: 12" in out
+
+    shared_state["entity_type_name"] = entity_type_name
diff --git a/samples/snippets/feature_store_service/read_feature_values_sample.py b/samples/snippets/feature_store_service/read_feature_values_sample.py
new file mode 100644
index 0000000000..c26ce697f8
--- /dev/null
+++ b/samples/snippets/feature_store_service/read_feature_values_sample.py
@@ -0,0 +1,52 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Serve feature values from a single entity for a particular entity type.
+# See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+# the code snippet
+
+# [START aiplatform_read_feature_values_sample]
+from google.cloud import aiplatform_v1beta1 as aiplatform
+
+
+def read_feature_values_sample(
+    project: str,
+    featurestore_id: str,
+    entity_type_id: str,
+    entity_id: str,
+    location: str = "us-central1",
+    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
+):
+    # The AI Platform services require regional API endpoints, which need to be
+    # in the same region or multi-region overlap with the Feature Store location.
+    client_options = {"api_endpoint": api_endpoint}
+    # Initialize client that will be used to create and send requests.
+    # This client only needs to be created once, and can be reused for multiple requests.
+    client = aiplatform.FeaturestoreOnlineServingServiceClient(
+        client_options=client_options
+    )
+    entity_type = f"projects/{project}/locations/{location}/featurestores/{featurestore_id}/entityTypes/{entity_type_id}"
+    feature_selector = aiplatform.FeatureSelector(
+        id_matcher=aiplatform.IdMatcher(ids=["age", "gender", "liked_genres"])
+    )
+    read_feature_values_request = aiplatform.ReadFeatureValuesRequest(
+        entity_type=entity_type, entity_id=entity_id, feature_selector=feature_selector
+    )
+    read_feature_values_response = client.read_feature_values(
+        request=read_feature_values_request
+    )
+    print("read_feature_values_response:", read_feature_values_response)
+
+
+# [END aiplatform_read_feature_values_sample]
diff --git a/samples/snippets/feature_store_service/read_feature_values_sample_test.py b/samples/snippets/feature_store_service/read_feature_values_sample_test.py
new file mode 100644
index 0000000000..5a15ff9b32
--- /dev/null
+++ b/samples/snippets/feature_store_service/read_feature_values_sample_test.py
@@ -0,0 +1,38 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+import pytest
+import read_feature_values_sample
+
+PROJECT_ID = os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")
+
+
+@pytest.fixture(scope="function", autouse=True)
+def teardown():
+    yield
+
+
+def test_ucaip_generated_read_feature_values_sample_vision(capsys, shared_state):
+    featurestore_id = "perm_sample_featurestore"
+    entity_type_id = "perm_users"
+    read_feature_values_sample.read_feature_values_sample(
+        project=PROJECT_ID,
+        featurestore_id=featurestore_id,
+        entity_type_id=entity_type_id,
+        entity_id="alice",
+    )
+    out, _ = capsys.readouterr()
+    assert "int64_value: 55" in out