diff --git a/tests/integration/data_sources_and_expectations/test_known_issues.py b/tests/integration/data_sources_and_expectations/test_known_issues.py
new file mode 100644
index 000000000000..1d4abe836faf
--- /dev/null
+++ b/tests/integration/data_sources_and_expectations/test_known_issues.py
@@ -0,0 +1,87 @@
+"""
+Responsible for highlighting known bugs we're working to resolve.
+"""
+
+import pandas as pd
+
+import great_expectations.expectations as gxe
+from great_expectations.core.expectation_suite import ExpectationSuite
+from tests.integration.conftest import parameterize_batch_for_data_sources
+from tests.integration.test_utils.data_source_config.pandas_data_frame import (
+    PandasDataFrameDatasourceTestConfig,
+)
+from tests.integration.test_utils.data_source_config.postgres import PostgreSQLDatasourceTestConfig
+
+
+@parameterize_batch_for_data_sources(
+    data_source_configs=[PostgreSQLDatasourceTestConfig()],
+    data=pd.DataFrame(
+        {
+            "col1": [1, 2, 3, 4, 5],
+            "col2": ["A", "B", "C", "D", None],
+            "col3": [1.1, None, 3.3, 4.4, 5.5],
+        }
+    ),
+)
+def test_shared_metric_dependencies_cause_entire_suite_to_fail(batch_for_datasource):
+    """
+    This test demonstrates the bug where a missing condition_parser causes the entire suite to fail.
+
+    The bug is that the error message from the third expectation is propagated to all subsequent
+    expectations.
+
+    This highlights a larger issue where shared metric dependencies can cause issues to propagate
+    across expectations. A missing condition parser is simply one example of this issue.
+
+    All expectations here share a dependency on the 'table.row_count' metric.
+    """
+    suite = ExpectationSuite(
+        name="faulty",
+        expectations=[
+            gxe.ExpectColumnValuesToNotBeNull(column="col1"),
+            gxe.ExpectColumnValuesToNotBeNull(column="col2"),
+            gxe.ExpectColumnValuesToBeInSet(
+                column="col2",
+                value_set=["A", "B", "C"],
+                row_condition="col3 IS NOT NULL",
+                mostly=0.665,
+                condition_parser=None,  # Should be specified as 'great_expectations'
+            ),
+        ],
+    )
+
+    result = batch_for_datasource.validate(suite)
+
+    assert result.success is False
+    assert all(
+        res.success is False
+        and "SqlAlchemyExecutionEngine only supports the great_expectations condition_parser."
+        in str(res.exception_info)
+        for res in result.results
+    )
+
+
+@parameterize_batch_for_data_sources(
+    data_source_configs=[PandasDataFrameDatasourceTestConfig()],
+    data=pd.DataFrame(
+        {
+            "col1": [1, 2, 3, 4, 5],
+        }
+    ),
+)
+def test_catch_exceptions_is_not_respected(batch_for_datasource):
+    """
+    This test demonstrates the bug where catch_exceptions is not respected.
+
+    We do not currently have any logic that respects user configuration
+    and disables the default value of True.
+    """
+    expectation = gxe.ExpectColumnValuesToMatchStrftimeFormat(
+        column="col1", strftime_format="%Y-%m-%d", catch_exceptions=False
+    )
+    result = batch_for_datasource.validate(expectation)
+
+    assert result.success is False
+    assert "please call the expectation before converting from string format" in str(
+        result.exception_info
+    )