diff --git a/test/integration/cache/test_parallel_cache_files.py b/test/integration/cache/test_cache_parallel.py
similarity index 54%
rename from test/integration/cache/test_parallel_cache_files.py
rename to test/integration/cache/test_cache_parallel.py
index c8abe8c3af..a463f3614d 100644
--- a/test/integration/cache/test_parallel_cache_files.py
+++ b/test/integration/cache/test_cache_parallel.py
@@ -18,7 +18,7 @@ def get_unused_pid() -> int:
     return -1
 
 
-def test_parallel_cache_files():
+def test_prev_cache_parallel_deletion():
     # all files cache files in test dir must be removed
     # if `cache_dir` api param wasn't specified explicitly
     unused_test_pid = get_unused_pid()
@@ -27,10 +27,12 @@ def test_parallel_cache_files():
     test_file_2 = Path(default_fedot_data_dir(), f'cache_{unused_test_pid}.preprocessors_db')
     test_file_2.touch()
 
+    common_params = dict(timeout=0.1, with_tuning=False)
+
     tasks = [
-        delayed(run_regression_example)(with_tuning=False),
-        delayed(run_classification_example)(timeout=1., with_tuning=False),
-        delayed(run_ts_forecasting_example)(dataset='beer', horizon=10, timeout=1., with_tuning=False),
+        delayed(run_regression_example)(**common_params, preset='fast_train'),
+        delayed(run_classification_example)(**common_params),
+        delayed(run_ts_forecasting_example)(**common_params, dataset='beer', horizon=10),
     ]
 
     cpus = cpu_count()
@@ -41,3 +43,24 @@ def test_parallel_cache_files():
             assert False, 'DBs collides'
         assert not test_file_1.exists()
         assert not test_file_2.exists()
+
+
+def test_parallel_cache_files():
+    # all files cache files in test dir must be removed
+    # if `cache_dir` api param wasn't specified explicitly
+    data_dir = Path(default_fedot_data_dir())
+    common_params = dict(timeout=0.1, with_tuning=False)
+
+    tasks = [
+        delayed(run_regression_example)(**common_params, preset='fast_train'),
+        delayed(run_classification_example)(**common_params),
+        delayed(run_ts_forecasting_example)(**common_params, dataset='beer', horizon=10),
+    ]
+
+    cpus = cpu_count()
+    if cpus > 1:
+        try:
+            Parallel(n_jobs=cpus)(tasks)
+        except sqlite3.OperationalError:
+            assert False, 'DBs collides'
+        assert len(list(data_dir.glob('cache_*.*'))) == 6  # (operations_cache, preprocessing_cache) x 3