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Q1.From the following table, write a SQL query to count the number of cities in each country. Return country ID and number of cities.

Sample table : locations
+-------------+------------------------------------------+-------------+---------------------+-------------------+------------+
| LOCATION_ID | STREET_ADDRESS                           | POSTAL_CODE | CITY                | STATE_PROVINCE    | COUNTRY_ID |
+-------------+------------------------------------------+-------------+---------------------+-------------------+------------+
|        1000 | 1297 Via Cola di Rie                     | 989         | Roma                |                   | IT         |
|        1100 | 93091 Calle della Testa                  | 10934       | Venice              |                   | IT         |
|        1200 | 2017 Shinjuku-ku                         | 1689        | Tokyo               | Tokyo Prefecture  | JP         |
|        1300 | 9450 Kamiya-cho                          | 6823        | Hiroshima           |                   | JP         |
|        1400 | 2014 Jabberwocky Rd                      | 26192       | Southlake           | Texas             | US         |
|        1500 | 2011 Interiors Blvd                      | 99236       | South San Francisco | California        | US         |
|        1600 | 2007 Zagora St                           | 50090       | South Brunswick     | New Jersey        | US         |
|        1700 | 2004 Charade Rd                          | 98199       | Seattle             | Washington        | US         |
|        1800 | 147 Spadina Ave                          | M5V 2L7     | Toronto             | Ontario           | CA         |
|        1900 | 6092 Boxwood St                          | YSW 9T2     | Whitehorse          | Yukon             | CA         |
|        2000 | 40-5-12 Laogianggen                      | 190518      | Beijing             |                   | CN         |
|        2100 | 1298 Vileparle (E)                       | 490231      | Bombay              | Maharashtra       | IN         |
|        2200 | 12-98 Victoria Street                    | 2901        | Sydney              | New South Wales   | AU         |
|        2300 | 198 Clementi North                       | 540198      | Singapore           |                   | SG         |
|        2400 | 8204 Arthur St                           |             | London              |                   | UK         |
|        2500 | Magdalen Centre, The Oxford Science Park | OX9 9ZB     | Oxford              | Oxford            | UK         |
|        2600 | 9702 Chester Road                        | 9629850293  | Stretford           | Manchester        | UK         |
|        2700 | Schwanthalerstr. 7031                    | 80925       | Munich              | Bavaria           | DE         |
|        2800 | Rua Frei Caneca 1360                     | 01307-002   | Sao Paulo           | Sao Paulo         | BR         |
|        2900 | 20 Rue des Corps-Saints                  | 1730        | Geneva              | Geneve            | CH         |
|        3000 | Murtenstrasse 921                        | 3095        | Bern                | BE                | CH         |
|        3100 | Pieter Breughelstraat 837                | 3029SK      | Utrecht             | Utrecht           | NL         |
|        3200 | Mariano Escobedo 9991                    | 11932       | Mexico City         | Distrito Federal, | MX         |
+-------------+------------------------------------------+-------------+---------------------+-------------------+------------+


Q2.   From the following table, write a SQL query to count the number of employees worked under each manager. Return manager ID and number of employees.

Sample table: employees
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+
| EMPLOYEE_ID | FIRST_NAME  | LAST_NAME   | EMAIL    | PHONE_NUMBER       | HIRE_DATE  | JOB_ID     | SALARY   | COMMISSION_PCT | MANAGER_ID | DEPARTMENT_ID |
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+
|         100 | Steven      | King        | SKING    | 515.123.4567       | 2003-06-17 | AD_PRES    | 24000.00 |           0.00 |          0 |            90 |
|         101 | Neena       | Kochhar     | NKOCHHAR | 515.123.4568       | 2005-09-21 | AD_VP      | 17000.00 |           0.00 |        100 |            90 |
|         102 | Lex         | De Haan     | LDEHAAN  | 515.123.4569       | 2001-01-13 | AD_VP      | 17000.00 |           0.00 |        100 |            90 |
|         103 | Alexander   | Hunold      | AHUNOLD  | 590.423.4567       | 2006-01-03 | IT_PROG    |  9000.00 |           0.00 |        102 |            60 |
|         104 | Bruce       | Ernst       | BERNST   | 590.423.4568       | 2007-05-21 | IT_PROG    |  6000.00 |           0.00 |        103 |            60 |
|         105 | David       | Austin      | DAUSTIN  | 590.423.4569       | 2005-06-25 | IT_PROG    |  4800.00 |           0.00 |        103 |            60 |
|             | Valli       | Pataballa   | VPATABAL | 590.423.4560       | 2006-02-05 | IT_PROG    |  4800.00 |           0.00 |        103 |            60 |
|         107 | Diana       | Lorentz     | DLORENTZ | 590.423.5567       | 2007-02-07 | IT_PROG    |  4200.00 |           0.00 |        103 |            60 |
|         108 | Nancy       | Greenberg   | NGREENBE | 515.124.4569       | 2002-08-17 | FI_MGR     | 12008.00 |           0.00 |        101 |           100 |
|         109 | Daniel      | Faviet      | DFAVIET  | 515.124.4169       | 2002-08-16 | FI_ACCOUNT |  9000.00 |           0.00 |        108 |           100 |
|             | John        | Chen        | JCHEN    | 515.124.4269       | 2005-09-28 | FI_ACCOUNT |  8200.00 |           0.00 |        108 |           100 |
|         111 | Ismael      | Sciarra     | ISCIARRA | 515.124.4369       | 2005-09-30 | FI_ACCOUNT |  7700.00 |           0.00 |        108 |           100 |
|         112 | Jose Manuel | Urman       | JMURMAN  | 515.124.4469       | 2006-03-07 | FI_ACCOUNT |  7800.00 |           0.00 |        108 |           100 |
|         113 | Luis        | Popp        | LPOPP    | 515.124.4567       | 2007-12-07 | FI_ACCOUNT |  6900.00 |           0.00 |        108 |           100 |
|         114 | Den         | Raphaely    | DRAPHEAL | 515.127.4561       | 2002-12-07 | PU_MAN     | 11000.00 |           0.00 |        100 |            30 |
|         115 | Alexander   | Khoo        | AKHOO    | 515.127.4562       | 2003-05-18 | PU_CLERK   |  3100.00 |           0.00 |        114 |            30 |
|         116 | Shelli      | Baida       | SBAIDA   | 515.127.4563       | 2005-12-24 | PU_CLERK   |  2900.00 |           0.00 |        114 |            30 |
|         117 | Sigal       | Tobias      | STOBIAS  | 515.127.4564       | 2005-07-24 | PU_CLERK   |  2800.00 |           0.00 |        114 |            30 |
|         118 | Guy         | Himuro      | GHIMURO  | 515.127.4565       | 2006-11-15 | PU_CLERK   |  2600.00 |           0.00 |        114 |            30 |
|         119 | Karen       | Colmenares  | KCOLMENA | 515.127.4566       | 2007-08-10 | PU_CLERK   |  2500.00 |           0.00 |        114 |            30 |
|         120 | Matthew     | Weiss       | MWEISS   | 650.123.1234       | 2004-07-18 | ST_MAN     |  8000.00 |           0.00 |        100 |            50 |
|         121 | Adam        | Fripp       | AFRIPP   | 650.123.2234       | 2005-04-10 | ST_MAN     |  8200.00 |           0.00 |        100 |            50 |
|         122 | Payam       | Kaufling    | PKAUFLIN | 650.123.3234       | 2003-05-01 | ST_MAN     |  7900.00 |           0.00 |        100 |            50 |
|         123 | Shanta      | Vollman     | SVOLLMAN | 650.123.4234       | 2005-10-10 | ST_MAN     |  6500.00 |           0.00 |        100 |            50 |
|         124 | Kevin       | Mourgos     | KMOURGOS | 650.123.5234       | 2007-11-16 | ST_MAN     |  5800.00 |           0.00 |        100 |            50 |
|         125 | Julia       | Nayer       | JNAYER   | 650.124.1214       | 2005-07-16 | ST_CLERK   |  3200.00 |           0.00 |        120 |            50 |
|         126 | Irene       | Mikkilineni | IMIKKILI | 650.124.1224       | 2006-09-28 | ST_CLERK   |  2700.00 |           0.00 |        120 |            50 |
|         127 | James       | Landry      | JLANDRY  | 650.124.1334       | 2007-01-14 | ST_CLERK   |  2400.00 |           0.00 |        120 |            50 |
|         128 | Steven      | Markle      | SMARKLE  | 650.124.1434       | 2008-03-08 | ST_CLERK   |  2200.00 |           0.00 |        120 |            50 |
|         129 | Laura       | Bissot      | LBISSOT  | 650.124.5234       | 2005-08-20 | ST_CLERK   |  3300.00 |           0.00 |        121 |            50 |
|         130 | Mozhe       | Atkinson    | MATKINSO | 650.124.6234       | 2005-10-30 | ST_CLERK   |  2800.00 |           0.00 |        121 |            50 |
| +-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+


Q3.From the following table, write a SQL query to calculate the average salary of employees who receive a commission percentage for each department. Return department id, average salary.

Sample table: employees
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+
| EMPLOYEE_ID | FIRST_NAME  | LAST_NAME   | EMAIL    | PHONE_NUMBER       | HIRE_DATE  | JOB_ID     | SALARY   | COMMISSION_PCT | MANAGER_ID | DEPARTMENT_ID |
+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+



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