**Apache Airflow version**: 2.0.0


**Kubernetes version (if you are using kubernetes)** (use `kubectl version`):

**Environment**:

- **Cloud provider or hardware configuration**:
- **OS** (e.g. from /etc/os-release):
- **Kernel** (e.g. `uname -a`):
- **Install tools**:
- **Others**:

**What happened**:

I have the following DAG:

```py
from datetime import datetime, timedelta

from airflow import DAG
from airflow.operators.bash_operator import BashOperator

with DAG(
    dag_id="sla_trigger",
    schedule_interval="* * * * *",
    start_date=datetime(2020, 2, 3),
) as dag:
    BashOperator(
        task_id="bash_task",
        bash_command="sleep 30",
        sla=timedelta(seconds=2),
    )

```

And in my understanding this dag should result in SLA miss every time it is triggered (every minute). However, after few minutes of running I don't see any SLA misses...

**What you expected to happen**:

I expect to see SLA if task takes longer than expected.

**How to reproduce it**:

Use the dag from above.

**Anything else we need to know**:

N/A

airflow/jobs/scheduler_job.py
self, dag_run: DagRun, callback: Optional[DagCallbackRequest] = None
    ):
        if not self.processor_agent:
            raise ValueError("Processor agent is not started.")
        dag = dag_run.get_dag()
        self._send_sla_callbacks_to_processor(dag)
        if callback:
            self.processor_agent.send_callback_to_execute(callback)
    def _send_sla_callbacks_to_processor(self, dag: DAG):
        """Sends SLA Callbacks to DagFileProcessor if tasks have SLAs set and check_slas=True"""
        if not settings.CHECK_SLAS:
            return
        if not any(isinstance(ti.sla, timedelta) for ti in dag.tasks):
            self.log.debug("Skipping SLA check for %s because no tasks in DAG have SLAs", dag)
            return
        if not self.processor_agent:
            raise ValueError("Processor agent is not started.")
        self.processor_agent.send_sla_callback_request_to_execute(
            full_filepath=dag.fileloc, dag_id=dag.dag_id
        )
    @provide_session
    def _emit_pool_metrics(self, session: Session = None) -> None: