**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.log.error("Couldn't find dag %s in DagBag/DB!", dag_run.dag_id)
            return 0
        if (
            dag_run.start_date
            and dag.dagrun_timeout
            and dag_run.start_date < timezone.utcnow() - dag.dagrun_timeout
        ):
            dag_run.state = State.FAILED
            dag_run.end_date = timezone.utcnow()
            self.log.info("Run %s of %s has timed-out", dag_run.run_id, dag_run.dag_id)
            session.flush()
            
            self._update_dag_next_dagruns([session.query(DagModel).get(dag_run.dag_id)], session)
            callback_to_execute = DagCallbackRequest(
                full_filepath=dag.fileloc,
                dag_id=dag.dag_id,
                execution_date=dag_run.execution_date,
                is_failure_callback=True,
                msg='timed_out',
            )
            
            self._send_dag_callbacks_to_processor(dag_run, callback_to_execute)
            return 0
        if dag_run.execution_date > timezone.utcnow() and not dag.allow_future_exec_dates:
            self.log.error("Execution date is in future: %s", dag_run.execution_date)
            return 0
        if dag.max_active_runs:
            if (
                len(currently_active_runs) >= dag.max_active_runs
                and dag_run.execution_date not in currently_active_runs