Clock
Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:
Entry Level/Mid/Senior

Online NumPy Test

Our online NumPy test is the ideal pre-hire assessment for recruiters and hiring managers to assess a candidate’s skills objectively before an interview. NumPy online test is useful for hiring Numpy developer and has helped our customers reduce hiring costs by 40%.

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About

Online NumPy Test

NumPy is called a general-purpose array-processing package. It helps to provide a high-performance multidimensional array object and tools for working with these arrays. NumPy is an open-source extension module for Python, which provides fast precompiled functions for mathematical and numerical routines. NumPy mainly enriches the programming language Python with powerful data structures for efficient computation of multi-dimensional arrays and matrices.  

Online NumPy test helps recruiters and hiring managers to assess the candidate’s ability to work with N-dimensional NumPy arrays. NumPy online test is created and validated by experienced Subject Matter Experts (SMEs) to assess and hire NumPy developer- as per the industry standards.

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How it works

Test Summary

NumPy assessment test helps to screen the candidates who possess traits as follows:

Excellent knowledge of working on N-dimensional NumPy arrays
Ability to perform element-wise vector and matrix operations on NumPy arrays
Experience with building and supporting backtest frameworks in large datasets
Experience with data processing and manipulation

Our powerful reporting will give you an instant result and an option to share this result with your recruiting team. You can analyze section wise performance of candidate to gauge his/her strengths and weaknesses. Features like window violation and webcam proctoring help to detect cheating during the test.

NumPy skills test will evaluate a candidate's practical knowledge and will identify whether the candidate is ready to be employed. NumPy test can be taken online by candidates from anywhere in the comfort of their time zone.


NumPy pre-employment test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, AI-LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.

Test Duration
20
No. of Questions
10
Level of Expertise
Entry Level/Mid/Senior
Useful for hiring
  • NumPy Developer
  • Python Developer
Topics Covered
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NumPy array

iMocha’s NumPy online test assesses candidate’s knowledge of NumPy Python library for working with arrays

Matrix Dot Product

This test assesses candidate’s understanding about Dot product which returns the Dot product of vector a and b
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Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.

Question types :

Multiple Option

Topic:

Difficulty:

Hard


Q 1. You have been asked to train « Naive Bayes model for spam detection dataset

Using Python command, what wil you add in the given code at XXXX to deciore, it and train your modal for the given dataset?

import numpy os np

X= nporroyll 3. 2b[1 21 [2.21.[3,21)
Y= nporray(fi.a,a.1))

XXXX

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

Question types :

Multiple Option

Topic:

Machine teaming

Difficulty:

Hard


Q 1. Q2 Lets assume that you have 6 Pandas DataFrome(af) in the below tole.

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074

When the following commend is executed, what hoppens to the DatoFrome?

df= defiinat()
Y= nporray(fi.a,a.1))

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
it gives an error becouse of the third row which has on empty string.
None of these

Question types :

Multiple Option

Topic:

NumPy

Difficulty:

Mediam

Question:

Predict the correct output of the following NumPy code snippet.

import numpy as np
arr = np.array([[6, 7, 8], [1, 2, 3], [9, 3, 2]])
print arr[-1, 0:2]


Options

  • [9, 3]
  • [9, 3, 2]
  • [2, 3, 9]
  • [2, 3]
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