General and Python Data Science, Python, and SQL Online Test

TestDome skill assessments are used by more than 7,000 companies and 450,000 individual test takers.

For Jobseekers

Practice your skills and earn a certificate of achievement when you score in the top 25%.

Take a Practice Test

For Companies

Test how candidates think, strategize, and solve problems so you can interview the best.

Sign Up to Offer This Test

TestDome Skill Assessments

Used by over 450,000 jobseekers

Trusted by over 7,000 companies

Premium questions with real-world problems

The General and Python Data Science, Python, and SQL online test assesses a candidate’s ability to analyze data, extract information, suggest conclusions, and support decision-making, as well as their ability to take advantage of Python and its standard library along with data science libraries such as NumPy, Pandas, or SciPy. It also tests a candidate’s knowledge of SQL queries and relational database concepts.

It's the ideal test for pre-employment screening. Data scientists and data analysts who use Python for their tasks should be able  to leverage the functionality provided by Python' standard and data science libraries to extract and analyze knowledge and insights from data. Often, they also need a solid understanding of SQL to interface and access an SQL database efficiently.

This test requires candidates to demonstrate their ability to apply probability and statistics when solving data science problems, write programs using Python for the same purpose, solve coding problems in Python, and write SQL queries that extract and combine data.

TestDome is trusted by businesses large and small

We’re top rated for our tests’ quality and reasonable completion time

Take The Test
Practice your skills.
Offer This Test
Sign up for a trial plan.
Free Sample Questions for General and Python Data Science, Python, and SQL Test

Our sample questions are free for companies to use on a trial plan. See more about our premium questions for paid plans below.

Pet Detection

5min
  -  
Easy  
  -  
NUM

General Data Science Confusion Matrix Machine Learning Public

A classifier that predicts if an image contains only a cat, a dog, or a llama produced the following confusion matrix:

  True values    
Dog Cat Llama
Predicted values     Dog 14 2 1
Cat 2 12 3
Llama 5 2 19

What is the accuracy of the model, in percentages?

Student Majors

3min
  -  
Easy  
  -  
MCA

Python Lists Tuples New Public

A university's Office of Admission keeps track of student majors. Each student can have a single major. Below is an example of how their system stores students, majors, and how it manipulates them:

students = [("Allen Anderson", "Computer Science"),
            ("Edgar Einstein", "Engineering"),
            ("Farrah Finn", "Fine Arts")]
     
def add_new_student(students, name, major):
    students.append((name, major))

def update_student(students, index, name, major):
    students[index] = (name, major)

def find_students_by_name(students, name):
    return [student for student in students if name in student[0]]

def get_all_majors(students):
    return [student[1] for student in students]

What can be concluded from the code snippet above?

(Select all acceptable answers.)

Login Table

15min
  -  
Easy  
  -  
CODE

Python Data Science Pandas Public

A company stores login data and password hashes in two different containers:

  • DataFrame with columns: Id, Login, Verified.
  • Two-dimensional NumPy array where each element is an array that contains: Id and Password.

Elements on the same row/index have the same Id.

Implement the function login_table that accepts these two containers and modifies id_name_verified DataFrame in-place, so that:

  • The Verified column should be removed.
  • The password from NumPy array should be added as the last column with the name "Password" to DataFrame.

For example, the following code snippet:

id_name_verified = pd.DataFrame([[1, "JohnDoe", True], [2, "AnnFranklin", False]], columns=["Id", "Login", "Verified"])
id_password = np.array([[1, 987340123], [2, 187031122]], np.int32)
login_table(id_name_verified, id_password)
print(id_name_verified)

Should print:

   Id        Login   Password
0   1      JohnDoe  987340123
1   2  AnnFranklin  187031122

Students

3min
  -  
Easy  
  -  
CODE

SQL Aggregation Select Public

Given the following data definition, write a query that returns the number of students whose first name is John.

TABLE students
   id INTEGER PRIMARY KEY,
   firstName VARCHAR(30) NOT NULL,
   lastName VARCHAR(30) NOT NULL
Take The Test
Practice your skills.
View Test Pricing
Pick the number of tests you need.
Pass/fail grouping

Our tests are designed to put candidates into either the pass group or the fail group so you can find the best candidates faster.

Full customization

We have pre-built tests and questions, but you can customize them however you like. Change the pass/fail scores, time requirements, and more.

Cheating protection

Use tests that solve real-world problems, with no answers that can be easily found online. Because we test performance and skills (not information), we allow the use of online resources, just like in real life. Copy/paste prevention and online proctoring via webcam prevent cheating.

Candidate reporting

Get an overview into the percentage of passes and fails. Then dive deeper into the results of your top candidates to select who goes onto the next phase of hiring.

Learn more
In-depth candidate performance analysis
Offer This Test
Sign up for a trial plan.

Premium Questions for General and Python Data Science, Python, and SQL Test

TestDome offers a premium questions library with 1000+ unique, hand-crafted questions whose answers can’t be found online. If you spot an answer somewhere online, we’ll give you a refund.

Question Names

These premium questions are included in this pre-built test and can be added to any multi-skill test. Please sign up for a paid plan to view the questions in detail.

Document Store, Is Alpha, Shipping, Log Patch, Category Tree, Paragraph, Products, Username, Language Teacher, Reward Points, Greeter, Tuple Slice, Medical Record, Numbers to Text, Hobbies, Class Grades, Age and Earnings, Distribution Fitting, Median Height, Birthday Cards, Billiard Club Occupancy, Procedural Generator, Cheating Indicator, Patient Classification, Subscribers, Wine Quality, Kilometer Converter, Crop Ratio, Log Parser, Cargo Ship, String Occurrence, Date Transform, Random Playlist, File Format, Book Authors, Count Hobbies, Chain Link, Distribution of Answers, Hiring Process, CTR, XML Navigation, Bank Loan, Cubic Approximation, Clean CSV, Special Actions, Roads, Authors, Autocomplete, Ban Users, Bank Branches, Cheapest Product, Countries, Developers, Hospital Patients, Index Performance, Menu Items, Merge Stock Index, Movies, Projects, Rectangles, Restaurant Menu, Retirees, SMS Messages, Poll, Users and Accounts, Matching Clothes, Agents, Sales, Employee Manager, Auto Show, Delete Orders, Welfare Organization, Tasks, Manager Sales, Student Rankings, Student Activities, Youngest Child, Movies Live, Department Report, Ingredients, Average Salary, Movie Genres, Segment, Rain, River Discharge, Credit Wizard, Bacterial Growth, ATM Locations, Ceramic Store, Credit Score, Action Stack, Read Write Execute, Read First Line, Transactions, Free Throws, Veterinarian, Book Sale, Unique Numbers, Moving Total, Max Sum, Internal Nodes, Paper Strip, Friend, Flight Connections
Covered Skills

Testing of these skills is covered in this pre-built test because they’re closely related. On our paid plan, you can easily create your own custom multi-skill tests.

Python Bug Fixing Language List Comprehension Strings Arithmetic Monkey Patching Dictionary Exceptions Regex JSON Serialization Sorting Inheritance OOP Tuples Named Tuple Iteration Lists Python Data Science Grouping NumPy Pandas General Data Science Linear Regression Cauchy Distribution Exponential Distribution Normal Distribution SciPy Data Cleaning Outliers Random Bayes' Theorem Probability Classification Decision Boundary Poisson Distribution Correlation Multicollinearity Method Overriding Integer Division XML Stream Closures Multithreading Performance Tuning Conditional Statements Linked List Probability Distributions Decision Tree Machine Learning Binomial Distribution P-Value Dynamic Objects Nonlinear Regression Scikit-Learn Processing CSV SQL Conditions Views Select Create Index Database Schema Alter Table Constraints Create Table Aggregation Subqueries Ordering Indexes Union Group by Update Insert Joins Left Join Right Join Delete SQL CASE CTE ROC Database Normalization Curve Fitting K-Nearest Neighbors Stack Data Aggregation Algorithmic Thinking Queue Set Tree Graphs
Recommended Job Roles

These are the job roles that we recommend for the General and Python Data Science, Python, and SQL online test.

Data Analyst
Data Scientist

Take or Offer the General and Python Data Science, Python, and SQL Online Test

How TestDome works

1. Choose or create a test
2. Share your test via URL or email
3. Review overall results and pass/fail grouping
4. Dive deeper into individual results

Excellent support & free concierge service

We offer fast, hands-on support for any question or concern you might have. If you want help with building a custom test or inviting candidates, we’ll handle everything for you.

Contact Support for any questions or to request our free concierge service.

Excellent support

Take or Offer the General and Python Data Science, Python, and SQL Online Test

Dashboard Start Trial Sign In Home Tour Tests Questions Pricing