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Group tasks by:
complexity
category
database
Simple
1.
Get the actors
2.
Get the languages list
3.
Retrieve Actor Names
4.
Retrieve All Departments
5.
Staff names
6.
Product categories
7.
Ordered Languages List
8.
Top 5 Longest Films
9.
Find stuff members by condition
10.
Get the sorted list of films with condition
11.
Find film names by description
12.
Retrieve Actors by Name
13.
Find the average length of a movie
14.
Find foreign employees
15.
Ordered Movie Titles
16.
Find clients starting with the letter "A"
17.
Find clients starting with the letter "A" (2)
18.
Find the minimal and maximal film rental cost
19.
Top 10 Movies by Title
20.
Find long movies
21.
Calculate the area of a circle
22.
Calculate circle perimeter
23.
Find active customers
24.
Movies with above-average rental rates
25.
Movies with the highest replacement cost
26.
Get list of clients
27.
Unique Movie Ratings
28.
Get the restricted films list
29.
Get list of restricted films
30.
Create new address record
31.
Update the postal code
32.
Remove customer records
33.
Addresses Lacking Postal Codes
34.
Addresses with Even Postal Codes
35.
Build shared surnames list
36.
Get airports data
37.
Find long-range aircraft
38.
Identify Palindrome Names
39.
What is SQL?
40.
What is DBMS?
41.
What is RDBMS?
42.
What is a Database?
43.
What is ACID?
44.
What are DQL commands?
45.
What is index in SQL?
46.
SQL Tables joins types
47.
Choose join type
48.
Perform price update
49.
Update replacement cost
50.
Order of execution of logical operators
51.
Difference between UNION and UNION ALL
52.
Display a list of departments
53.
Find Employees by Department
54.
Find employee salary
55.
Employees with high salaries
56.
Employees with Above-Average Salaries
57.
Find customers with even numbers
58.
Find customers by phone prefix
59.
Get unique customers list
60.
How avoid accidental deletion?
61.
What relation types exists in SQL?
62.
Find non-Dollar/Euro countries
63.
What is normalization in SQL?
64.
What is a subquery?
65.
Root categories list
66.
Product List
67.
Filtered list of products
68.
Ten heaviest products
69.
Determine the type of relationship
70.
Sort the penguins
71.
Find light weight penguins
72.
Distribution penguins by islands
73.
Find small penguins
74.
Find small penguins species
75.
Search by pattern
76.
Flipper length to body mass rate
77.
Penguins whose sex is unknown
78.
Penguins with absent data
79.
Heavy penguins
80.
Count the penguins
81.
Penguins and Islands
82.
Medium sized bill Penguins
83.
Penguins distribution
84.
Common penguin species
85.
Delete records
86.
Delete employee records
87.
Rename the table
88.
Penguins stats
89.
Create index
90.
Create unique index
91.
Drop table
92.
Missing Data
93.
Small bill Penguins
94.
Not buyng customers
95.
Penguins species
96.
HAVING without aggregate
97.
Duplicate Emails
98.
Update Job Salaries
99.
Create Penguins Table
100.
Combine Penguin Lists
101.
Unique Penguin List
102.
Filter Little Penguins
103.
Full-Text Index
104.
Fare Conditions Types
Normal
1.
Find customers full names
2.
Find addresses using sub-query
3.
Find addresses using JOIN
4.
Find duplicate actor names
5.
Most Popular Actor Surname
6.
Find all the actors in the film
7.
Find all films of an actor
8.
Find the distribution of films by category
9.
Find the average length of a movie by category
10.
Find the number of films in which the actor took part
11.
Find actors more popular than HENRY BERRY
12.
Analyze monthly payment
13.
Find the best month
14.
Find the most popular film
15.
Analyze rental data for film
16.
Find the Managed Department
17.
Employees on the Video Database Project
18.
Find all customers with unshipped orders
19.
Sort Movies by Multiple Fields
20.
Get the longest movie
21.
Get films list third page
22.
Find the films never been rented
23.
Find customers who did not return rented discs
24.
Find average daily film rentals
25.
Calculate daily income for the month
26.
Generate dates table
27.
Calculate the number of days off in a month
28.
The average cost of renting a movie by category
29.
Average film rental duration for each customer
30.
Find Long Comedies
31.
Find the distribution of customer activity
32.
Find company stores details
33.
Find clients who rented the film
34.
Find minimum, maximum and average film duration
35.
Find long movie categories
36.
Find the number of employees
37.
Find movie distribution by store
38.
Find highly paid employees
39.
Find employees by hire date
40.
Get list of highly paid employees
41.
Find valuable employees
42.
Salary Ratio Calculation
43.
Find the average client activity time
44.
Find the average revenue
45.
Find the store average revenue
46.
Create a salary rating
47.
Quarterly earnings analysis
48.
Find the countries with the most customers
49.
Find customer details
50.
Find the count of rented disks
51.
Find the number of returns
52.
Find the least popular movies
53.
Find the top spending customers
54.
Films Without Available Inventory
55.
Find languages not represented in films
56.
Find movies that have never been rented
57.
Clients with a high number of rentals
58.
Films with the highest replacement cost
59.
Count the rental delays
60.
Calculate the percentage of delays
61.
Get movie cast lists
62.
Extract address and domain from email
63.
Get a list of actors - namesakes
64.
List Movies with Their Categories
65.
Average Rental Duration
66.
Movie rental prices by category
67.
Get rolling payment amounts
68.
Find the number of films in each category
69.
Analyze customer payments
70.
Find the most diverse clients
71.
Find film distribution
72.
Payments analyze
73.
Get list of tables
74.
Get table columns data
75.
Get list of indexes
76.
Distribution of clients by weekday
77.
Client Rentals by Time of Day
78.
Improve distribution of clients by weekday
79.
Movies without actors records
80.
Movies without cast records
81.
Actors Excluding NC-17 Films
82.
Average rentals count
83.
Find repeat rentals
84.
Find the distribution of clients by country
85.
Find never been delayed films
86.
Find most delayed films
87.
Create department table
88.
NC-17 Films about DBA
89.
Films about Dogs or Cats
90.
Clients whose first name is the last name of another client
91.
Update Canadian postal codes
92.
Enter Woodridge postal code
93.
Enter new staff record
94.
Create customer addresses view
95.
Distribution of films by categories in JSON format
96.
Generate a list of movies in JSON format
97.
Category popularity analysis
98.
Build a overal email list
99.
Select clients without the letter "A"
100.
Alter the staff table
101.
Find films in several categories
102.
Get a list of airports
103.
Find Boeing aircraft
104.
Get flights departed from Domodedovo
105.
Get a list of aircraft from Domodedovo
106.
Aircraft usage analysis
107.
Find last names with double letters
108.
Customers with matching name initials
109.
Format Customer Names
110.
Aircraft Lacking Business Class Seats
111.
Get counts of seats by class
112.
Get rows and seats count
113.
Calculate the number of seats on flight
114.
Get a list of airports with direct connections
115.
Get a list of no-show passengers
116.
Get a list of passengers
117.
Find the flight delay
118.
Get flights statistics
119.
Find the fastest flight
120.
Calculate the daily number of flights
121.
Obtain a list of passengers
122.
Get list of tables
123.
Get information about the columns
124.
Airports with one-way departures
125.
Find airports relations
126.
Get the passenger list
127.
Get aircraft seat map
128.
Get a list of planes in the air
129.
What are DDL commands?
130.
What are DML commands?
131.
How is data stored in a relational database?
132.
What is a constraint in SQL?
133.
SQL constraints types
134.
Choose tables join type
135.
Calculate the tax
136.
Get formatted list of films
137.
What is a primary key?
138.
Update customer's address
139.
Adjust the rental cost
140.
Find the tomorrow date
141.
Start and End Dates of Current Month
142.
Find the first and last dates of week
143.
Display a table of airports
144.
Count departing passengers
145.
Number of passengers with total
146.
Display a table of departures
147.
Get a list of airports with more than one direct flight
148.
Get list of tables (PostgreSQL)
149.
A sub-departments list (JOIN)
150.
Get a list of sub-departments
151.
Get list of tables (SQL Server)
152.
Find duplicate phone numbers
153.
What is a covering index?
154.
What is a view in SQL?
155.
Move film between categories
156.
Find a June 2005 hit
157.
Get product category color counts
158.
Find films to share
159.
How to find common rows in SQL?
160.
Jobs Without Specific Requirements
161.
Orders shipped in the following month
162.
Update project information
163.
Top states by population
164.
What is a materialized view?
165.
Reduced salaries
166.
List of categories
167.
List of subcategories
168.
What is a SQL transaction?
169.
What is a correlated subquery?
170.
Create a phonebook
171.
Staff Availability Report
172.
What is "PIVOT" in SQL?
173.
Film distribution by category and store
174.
Find highly paid employees
175.
Find the hypotenuse of a triangle
176.
Find the median booking amount
177.
Find the median film's length
178.
Prepare mailing list
179.
Penguins list
180.
Daily income by source
181.
Index usage
182.
Using a covering index
183.
Island with the minimum penguins mass
184.
The most populated island
185.
Classic movies
186.
Penguins stats table
187.
Managed by Robert Nelson
188.
Tables joining algorithms in SQL
189.
Delete films records
190.
Analyze bill length
191.
Analyze flipper length
192.
What is denormalization in RDB?
193.
Create functional index
194.
Staff information
195.
Customers without orders
196.
Overloaded employees
197.
Rank Penguins by Body Mass
198.
Who ordered red helmet?
199.
Who ordered helmet?
200.
What bought Jon Grande?
201.
The most popular product
202.
Products catalog
203.
Mountain Bikes catalog
204.
Products by category distribution
205.
Large categories
206.
Set Last Service Date
207.
Refurbished machines
208.
Data migration
209.
Penguins with low body weight
210.
Most Frequent Co-Purchase
211.
Most popular products
212.
Average Sales Delay
213.
Distance between cities
214.
Penguins habitat
215.
Extract Geometry as Text
216.
Manhattan's subway stations
217.
Area of the Neighborhood
218.
Area of the Neighborhood
219.
Neighborhood Average Area
220.
Extract Geometry as JSON
221.
New York streets length
222.
Rented Films
223.
What is FULL-TEXT index?
224.
Find Aircraft with All Fare Conditions
225.
Is the index fit for query?
226.
Is the index fit for queries?
Difficult
1.
Find most active customers
2.
Find sad actors
3.
Find the most diverse actors
4.
Find all films where HENRY BERRY did not participate
5.
Calculate factorial
6.
Find average disk idle time
7.
Find the distribution by categories
8.
Analyze monthly payments (2)
9.
Find movie popularity rating
10.
Find EMILY DEE fans
11.
Clients who are not familiar with EMILY DEE films
12.
Disc rental and return statistics
13.
Films with Low Rental Time
14.
Find actors duets
15.
Find films that were out of stock
16.
Improve payments analyze
17.
Find all the actors in the film
18.
Analyze weekly rentals
19.
Find the Horror films fans
20.
Movies in One Store
21.
Find movies with no available copies
22.
Staff performance analysis
23.
Generate monthly bill
24.
Gap & Islands problem
25.
Find customers who sow same films
26.
Get the list of destination airports
27.
Get a list of airports without direct connections
28.
Rate airports
29.
Find a list of flight options
30.
Rental history
31.
Find average flight occupancy
32.
Find flight occupancy by fare
33.
Find small airports
34.
FInd the plane coordinates
35.
FInd the planes coordinates
36.
What is a subset of the SQL language?
37.
SQL set operators
38.
Find a 2005 hits
39.
Analysis of the cost of film rental by category
40.
Distribution of flights by days of the week
41.
Subcategories count
42.
Find the median salary
43.
Actual statistics
44.
Actual statistics 2
45.
Cumulative payment analysis
46.
Country Area
47.
Population Distribution (Pivot)
48.
Little Italy Stations
49.
Frequently Purchased Product Pairs
Very hard
1.
Find clients who have met each other
Not rated
1.
The Storage Engine
2.
The Release Strategy
3.
The MariaDB Foundation Role
4.
Evolution and Compatibility
5.
Passenger names classification
6.
Total Bookings Amount
7.
Monthly Bookings Count
8.
Extract Airport Data as JSON
9.
Sales by Category Percentage
10.
Product Sales Analysis
Task 169:
What is a correlated subquery?
A correlated subquery is a type of subquery that is always nested within another subquery.
A correlated subquery is a type of subquery that is executed before the outer query.
A correlated subquery is a synonym for a nested subquery.
A correlated subquery is a synonym for a join.
A correlated subquery is a subquery that references a column from the outer query.
A correlated subquery is a subquery that is executed independently of the outer query.
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