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Google Analytics Assessment Test
Clock
Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:
Entry/Mid/Expert

Google Analytics Assessment

Our Google Analytics assessment test is the most preferred pre-employment assessment for recruiters and hiring managers to evaluate candidates’ Google Analytics skills objectively and quickly before the interview. This Google Analytics skills test is helpful in hiring Google Analytics Consultants, Google Analytics Experts, Google Analytics Specialists, and Google Analytics Analysts. iMocha’s Google Analytics test has helped our customers reduce hiring costs by 40%.

21389
+
Candidates
Assessed
452
+
Organizations Served
Fujitsu
Paypal
Capgemini
Deloitte
Coupa
UN Logo
Vanguard
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About

Google Analytics Assessment Test

Analytics plays a vital part in any online business. A business can strategy can only be formed with information. Google Analytics provides a platform that gives information in the form of data and statistics, proving immensely beneficial for online businesses. The Google Analytics assessment helps employers to assess the candidate within the vicinity of analytics, and so on.

The Google Analytics test is designed and developed by global Subject Matter Experts (SMEs) to assess the Google Analytics skills of the candidates per industry standards.

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How it works

Test Summary

Using powerful reporting, you can have a detailed analysis of our Google Analytics skills test results to make a better hiring decision and predict the candidate’s performance.

Google Analytics online test enables employers and recruiters to identify potential Google Analytics experts by evaluating their working skills and job readiness. For this reason, emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience rather than theoretical knowledge.

The Google Analytics skills test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive Questions, Whiteboard Questions, Audio / Video Questions, and True or False.

Test Duration
20
No. of Questions
10
Level of Expertise
Entry/Mid/Expert
Useful for hiring
  • Google Analytics Consultant
  • Google Analytics Expert
  • Google Analytics Specialist
  • Google Analytics Analyst
Topics Covered
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Google Analytics Account Setup

iMocha’s Google Analytics assessment test helps recruiters and hiring managers evaluate a candidate’s ability to set up a Google Analytics account for a website to track its performance.

Traffic Volume

Our test helps assess a candidate’s knowledge of the traffic volume metric, which shows the number of views for each page.
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Traffic analysis

Our test helps evaluate a candidate’s knowledge of traffic analysis reports, which give a detailed report of a website’s traffic.
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Tracking Code

Our test assesses a candidate’s knowledge of tracking codes, by which the activity by a user on a website is collected and set to an analytical report.
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Source/Medium

This Google Analytics skills test helps recruiters and hiring managers to evaluate a candidate’s understanding of sources, which shows the origin of traffic, and traffic medium (organic traffic, paid traffic, referral, etc.), which shows how it got there.
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Sessions and Segments

This test helps assess a candidate’s understanding of sessions, a group of user interactions records when a user visits a website within a given period, and segments, a subset of data that offers a more detailed view of analytics.
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 :

Topic:

Difficulty:

Question:

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Mobile Programming
FAQ
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