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Podium Data Assessment Test
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Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:

Podium Data Test

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Assessed
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About

Podium Data Assessment Test

Podium’s intelligent data identification capability enables users to get more value from enterprise datasets by providing instant business-ready insights, strengthening security, and improving data management efficiency. Podium is a turnkey software platform that radically simplifies and accelerates how companies manage, prepare, and deliver enterprise data. Podium runs on metadata that offers  visibility into every element in the marketplace. Podium Data skills test  evaluates  candidate's practical knowledge and  identifies whether the candidate is ready to be employed. Online Podium Data test can be taken by candidates from anywhere, regardless of timezone. Podium Data assessment test helps recruiters and hiring managers to assess candidate’s ability to work on enterprise data management.

iMocha’s Podium Data online test is created and validated by experienced subject matter experts (SMEs) to assess and hire Metadata analyst as per industry standards. Online Podium Data test helps to screen the candidates who possess skills as follows:

1.  Excellent in development and documentation of Metadata

2.  Ability to perform quality assurance of Metadata

3.  Good understanding of Metadata attributes

4.  Excellent knowledge of data cataloging, entities, metadata repository management

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

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How it works

Test Summary

Podium Data 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
Useful for hiring
  • Metadata Analyst
  • Metadata Senior Developer
  • Metadata Developer
Topics Covered
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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:

Podium - Metadata repository management

Difficulty:

Mediam

Question:

a) In a centralized metadata repository there is only one database that stores metadata for all applications business wide.
b) Metadata repositories should store metadata under the classification of "ownership", "descriptive characteristics", "rules and policies", and "physical characteristics".
c) Even in the decentralized metadata repository, the metadata cannot be broken down into individual departments.

Which of the above is true in the context of metadata repository management?


Options

  • a),b)
  • b),c)
  • a),c)
  • a),b),c)
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