Python Algorithms and SQL Online Test

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The Python and SQL online test assesses candidates' knowledge of programming in the Python language and their ability to use SQL.

It's an ideal test for pre-employment screening. A good Python developer needs to be able not only to solve problems using Python but also to write and analyze SQL queries to access a database.

This online test requires candidates to solve coding problems in Python and to write SQL queries that extract, combine, and manipulate data.

Recommended Job Roles

Back-End Developer

Data Analyst

Python Developer

SQL Developer

Web Developer

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Sample Free Questions

Students

3min

Easy

CODE

SQL Aggregation Public

Given the following data definition, write a query that returns the number of students whose first name is John. String comparisons should be case sensitive.

TABLE students
   id INTEGER PRIMARY KEY,
   firstName VARCHAR(30) NOT NULL,
   lastName VARCHAR(30) NOT NULL

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Enrollment

5min

Easy

CODE

SQL Conditions Update Public

A table containing the students enrolled in a yearly course has incorrect data in records with ids between 20 and 100 (inclusive).

TABLE enrollments
  id INTEGER NOT NULL PRIMARY KEY
  year INTEGER NOT NULL
  studentId INTEGER NOT NULL

Write a query that updates the field 'year' of every faulty record to 2015.

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Binary Search Tree

15min

Easy

CODE

Python Algorithmic thinking Data structures Public

A three-node binary tree. Binary search tree (BST) is a binary tree where the value of each node is larger or equal to the values in all the nodes in that node's left subtree and is smaller than the values in all the nodes in that node's right subtree.

Write a function that, efficiently with respect to time used, checks if a given binary search tree contains a given value.

For example, for the following tree:

n1 (Value: 1, Left: null, Right: null)
n2 (Value: 2, Left: n1, Right: n3)
n3 (Value: 3, Left: null, Right: null)

Call to contains(n2, 3) should return True since a tree with root at n2 contains number 3.

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Skills

SQL Aggregation Subqueries Indexes Conditions Python Bug fixing Language Data structures OOP Insertion Joins Union Constraints Database schema Delete Update Views List comprehension Strings Serialization Collections Stream Sorting Algorithmic thinking Searching Monkey patching Iteration List Arithmetic Performance tuning Exceptions

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