At Autodesk, the support team wants to find customers who generated a high number of support tickets in May 2024 but did not log into Autodesk Fusion during that same month.
Write a SQL query to return customers who meet these conditions.
NULL.ticket_count_past_month descending, then last_login_at ascending with NULLS FIRST.| Column | Type | Description |
|---|---|---|
| customer_idPK | INT | Unique customer identifier |
| customer_name | VARCHAR(100) | Customer full name |
| account_status | VARCHAR(30) | Current account status |
| Column | Type | Description |
|---|---|---|
| ticket_idPK | INT | Unique support ticket identifier |
| customer_id | INT | Customer who submitted the ticket |
| product_name | VARCHAR(100) | Product associated with the ticket |
| submitted_at | TIMESTAMP | Ticket submission timestamp |
| issue_type | VARCHAR(50) | Support issue category |
| Column | Type | Description |
|---|---|---|
| login_idPK | INT | Unique login event identifier |
| customer_id | INT | Customer who logged in |
| product_name | VARCHAR(100) | Product used during login |
| login_at | TIMESTAMP | Login timestamp |
| device_type | VARCHAR(30) | Device used for login |