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GCP Data Scientist Test
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Test duration:
60 minutes
min
Notes
No. of questions:
31
Tie
Level of experience:
Entry / Mid / Expert

GCP Data Scientist Test

The GCP Data Scientist test helps recruiters evaluate candidates' proficiency in using data to solve business problems on the Google Cloud Platform. This assessment has helped our customers reduce hiring costs by up to 40%.

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Candidates
Assessed
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Organizations Served
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About

GCP Data Scientist Test

A GCP Data Scientist specializes in using data to solve business problems on the Google Cloud Platform. They collect, analyze, and interpret large data sets to identify patterns and insights. This test can help recruiters assess candidates' knowledge and skills in statistical analysis, machine learning, and data visualization.

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How it works

Test Summary

GCP Data Scientist test helps to screen the candidates who possess the following traits: 

  • An understanding of DataProc and ability to use it for big data processing.
  • A clear understanding of DataPrep and the ability to use it for data cleaning and transformation.
  • Hands-on experience in data mining techniques.
  • A good understanding of classification and regression algorithms and the ability to implement them in data analysis.

Assessing candidates with our online test is secure and reliable. You can use our role-based access control feature to restrict system access based on individual users’ role within the recruiting team. Features like window violation and webcam proctoring help detect cheating during the test.  

This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive Questions, Whiteboard Questions, Audio/Video Questions, AI-LogicBox, Coding Simulations, True or False Questions, etc.    

Test Duration
60 minutes
No. of Questions
31
Level of Expertise
Entry / Mid / Expert
Useful for hiring
  • Junior GCP Data Scientist
  • GCP Data Scientist
  • Senior GCP Data Scientist

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Topics Covered
Shuffle

Data Mining - Regression

This test helps recruiters assess a candidate's understanding of data mining techniques and their ability to work with regression, which is used to model and analyze the relationship between variables.

Data Mining - Clustering

This test helps recruiters assess a candidate's understanding of data mining techniques and their ability to work with clustering, which is used to group similar data points.
Shuffle

Classification and Regression Algorithms

This test helps recruiters assess a candidate's understanding of classification and regression algorithms and their ability to implement them in data analysis.
Shuffle

Cloud ML - Batch Prediction

This test helps recruiters assess a candidate's understanding of Cloud ML and their ability to use it for batch prediction, which is essential for large-scale data analysis.
Shuffle

DataProc

This test helps recruiters assess a candidate's understanding of DataProc and ability to use it for big data processing.
Shuffle

DataPrep

This test helps recruiters assess a candidate's understanding of DataPrep and ability to use it for data cleaning and transformation.
Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.

Question types :

Multiple answer

Topic:

Data Validation

Difficulty:

Easy

Question:

Q 1. Alex has data that contains multiple errors, to be identified and corrected. Which process can he use in this scenario?

Data Extraction
Data Cleaning
Data Loading
Data Transformation
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