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Snowflake Data Warehouse Test
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Test duration:
50
min
Notes
No. of questions:
14
Tie
Level of experience:

Snowflake Data Warehouse Test

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About

Snowflake Data Warehouse Test

Snowflake is an analytical data warehouse that offers cloud-based data storage and analytical services. It is generally termed a 'data warehouse as service' and is used to store cloud data and conduct analysis of the stored data. The snowflake data warehouse is faster, easier, and more flexible in use and allows users to discover, exchange, and securely share data.

 

Snowflake data warehouse test helps tech recruiters & hiring managers assess candidates' skills in collecting, storing, processing, and analyzing huge data sets over the Snowflake platform. Snowflake developer test is designed by experienced subject matter experts (SMEs) to evaluate and hire Snowflake developers as per industry standards.

 

Snowflake data warehouse test helps to screen the candidates who possess traits as follows:   

  • Ability to work on Snowflake cloud-based Data Warehouse
  • Expertise in Snowflake data modeling, ELT using Snowflake SQL
  • Ability to provide solutions for data warehouse issues
  • Knowledge of Snowflake utilities, SnowPipe
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Test Summary

Snowflake developer test is designed considering EEOC guidelines; it will help you to assess & hire diverse talent without any bias. With role-based access control, you can now maintain security within your account by providing access to each user based on their established role. Moreover, with the help of our advanced cheating prevention tools (like image, audio, & video proctoring and window violation detection), you can allow candidates to take the test from anywhere in the comfort of their time zone.

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

Test Duration
50
No. of Questions
14
Level of Expertise
Useful for hiring
  • Snowflake Data Engineer
  • SnowFlake Architect
  • Snowflake Developer
  • Cloud Data Warehouse 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:

JSON Basics

Difficulty:

Hard

Question:

John has loaded semi-structured data (JSON format) into a table RAW_USER_DATA. All data is stored as a single column USER_INFO type VARIANT. One of the elements of JSON schema is USER_NAME. John wants to list all user names; what is the correct query syntax for this?
 


Options

  • SELECT USER_INFO:USER_NAME<br />from RAW_USER_DATA;
  • SELECT USER_NAME FROM RAW_USER_DATA;
  • SELECT USER_NAME:USER_INFO FROM RAW_USER_DATA;
  • SELECT USER_INFO from RAW_USER_DATA;
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