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AI-EnglishPro - Business English Proficiency Test
Clock
Test duration:
40
min
Notes
No. of questions:
12
Tie
Level of experience:
Mid/Expert Level

AI-EnglishPro Test

Our pre-employment business English proficiency test is the most preferred online skills assessment by recruiters and hiring managers to quantify the English language proficiency of candidates. The test evaluates a candidate's speaking, writing, reading, and listing skills. The online English language proficiency test for employment is useful for hiring every role. This English proficiency assessment test can reduce hiring costs and time-to-hire by 40%.

26157
+
Candidates
Assessed
132
+
Organizations Served
Fujitsu
Paypal
Capgemini
Deloitte
Coupa
UN Logo
Vanguard
EY Logo
About

AI-EnglishPro - Business English Proficiency Test

English is the language used in most international business transactions. A report published by Cambridge Assessment in 2016 proved that English skills are lacking on a global scale, especially in business. AI-EnglishPro is a business English proficiency test that is aimed at assessing the level of English proficiency for existing as well as potential employees. It is a 30-minute test divided into four parts: 

  • Speaking, 
  • Writing, 
  • Reading and 
  • Listening. 

It adheres to the CEFR standards (Common European Framework of Reference for Languages) in its marking pattern, level of difficulty/proficiency, and content curation. 


Why use AI-EnglishPro - Business English Proficiency Test?  


As per Cambridge English, IT employees need to possess varying degrees of business English skills to carry out their jobs. Therefore, it becomes imperative that, along with the core skills, employees are also assessed on their business English skills. However, most of the assessments are home-grown, lack reliability, and are prone to biases. 


Business English skills assessment must be reliable, conform to accepted standards, and be free of biases. In addition, it must be scalable to conduct mass recruiting in a swift, accurate, and timely manner.  


iMocha has designed AI-EnglishPro - an innovative tool to tackle these challenges. Our online business English proficiency test is based on four pillars of language, namely clarity, precision, understanding, and context. AI-EnglishPro is an AI-enabled, easy-to-use assessment that provides sentiment analysis, contextual understanding, and business language domain.

Use iMocha's assessment to hire skill fit, remove bias, and save money!
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How it works

Test Summary

English language proficiency assessment test is designed keeping in mind the Council of Europe&rsquo;s Framework of Reference for Language (CEFR) with focus on Speaking, Writing, Reading, and Listening skills. AI-EnglishPro&nbsp;uses Natural Language Processing tools, Computational Linguistics, and Text Analysis to provide&nbsp;input&nbsp;about the proficiency levels of the candidates and/or your existing employees.&nbsp;<br />

&nbsp;<br />

Business English language proficiency test evaluates business English proficiency on the core parameters like Reading, Writing, Speaking, and Listening with accurate and intelligent sentiment analysis.

Test Duration
40
No. of Questions
12
Level of Expertise
Mid/Expert Level
Useful for hiring
  • Sales Representative
  • Marketing Professionals
  • Customer Support Executive
  • Technical Support Executive
  • Customer Service Representative
  • Customer Success Associate
Topics Covered
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Grammer

The pre-hire test checks candidates' English grammar to judge candidates' speaking and writing abilities.

Vocabulary

The pre-employment English test assesses command over the English language.
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Reading Comprehension

The pre-hire assessment evaluates candidates to judge reading accuracy and fluency in understanding text and conveying information about what they have read.
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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:

Difficulty:

Easy

Question:

Read the scenario given below and answer the question.
 Technologies used for digital transformation can also be leveraged to enhance trust—when they’re used to enhance transparency, reinforce ethical practices, boost data privacy, and harden security.

Gaining customers’ trust—not just in a business’s products and services, but in its core purpose and principles—is fundamental to an enterprise’s success. But, what if efforts to drive your business’s success also increase the risk of sparking customers’ distrust?

That’s the dilemma that many business leaders find themselves in today, as they pursue digital transformation efforts to embed technology into every facet of their operations. With the advent of digital technology, businesses have been asking customers to trust them in new and deeper ways, from asking for their personal information to tracking their online behavior through digital breadcrumbs.

At the same time, technology issues like security hacks, inappropriate or illegal surveillance, misuse of personal data, the spread of fake news and misinformation, algorithmic bias, and lack of transparency are regularly hitting the headlines.

 
What do you think the resolution to the situation described above should be?
 


Options

  • The good news is that the same tools and technologies that drive digital transformation and whose careless or unethical use can sabotage trust; can also help build trust among stakeholders and create benefits for society. When used to enhance transparency, reinforce ethical and responsible practices, boost data privacy, and harden security; activities that we call the four pillars of trust digital tools and technologies can serve as positive enablers of both transformation and trust.
  • Enabling customers to easily evaluate the company and its offerings. One of the things digital platforms are experimenting with is providing more transparency around their business models.
  • Providing a line of sight into supply chains. Manufacturers and logistics companies are implementing technologies such as blockchain across their supply chains. Such technologies can track production sources and handling conditions, mitigating concerns about product safety (e.g., food and medicine), sustainability, and social responsibility (e.g., apparel and fisheries), authenticity (e.g., luxury goods), and more.
  • None of the above
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Now my team of 25 recruiters has adopted this measure and it has done wonders for our clients. Thanks to the Customer Success Team of iMocha. They have shared the best practices of quick test creation and also helped us in training all our recruiters for various functionalities of the tool.
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