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Azure Data Factory Online Test
Clock
Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:

Azure Data Factory Test

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About

Azure Data Factory Online Test

The Azure Data Factory service is a fully managed service for composing data storage, processing, and movement services into streamlined, scalable, and reliable data production pipelines. It allows you to create data-driven workflows to organize data movement between supported data stores and data processing using computer services in other regions or an on-premises environment. 

Azure data factory online test helps recruiters and hiring managers to assess a candidate's ability to work with Azure data factory for data integration. Azure data factory assessment test is created and validated by experienced industry experts to assess and hire Azure data developers per industry standards. This test evaluates a candidate's practical knowledge and will identify whether the candidate is ready to be employed. Candidates can take the Azure data factory skills test from anywhere in the comfort of their time zone.

Online Azure data factory test helps to screen the candidates who possess traits as follows:

  1. Strong proficiency in Azure Data Factory, SQL Server, and Azure Data Services
  2. Good knowledge of technologies, such as Azure Stream Analytics and Power BI
  3. Experience in developing solutions using Azure data factory
  4. Knowledge of creating database schemas, and database models

Our robust reporting will give you an instant result 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.

 

You can use features like window violation and webcam proctoring to help detect cheating during the tests.

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Test Summary

<p>Azure data factory pre-employment test may contain MCQ&#39;s (Multiple Choice Questions), MAQ&#39;s (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, LogicBox ( AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.&nbsp;This Test is designed considering EEOC guidelines, it will help you assess &amp; hire diverse talent without any bias.</p>

Test Duration
20
No. of Questions
10
Level of Expertise
Useful for hiring
  • Azure Data Developer
  • Azure Developer- Data Factory
  • Sr. Software Developer - Azure Data Factory
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:

Development

Difficulty:

Mediam

Question:

I want to slice the blob based on month, year, and day. I have files named myblobcontainer/log_20151231_144229.csv which is clearly YYYYMMDD_HHMMSS.

I want to process files hourly, not re-process anything, and ideally don't want to work around too much restructuring my blobs. How should I accomplish this task?


Options

  • Set the folder path as $$Text.Format(&#39;myblobcontainer/log_{YYYYMMDD_HHMMSS}&#39;, WindowStart)
  • Set the activity source as $$Text.Format(&#39;myblobcontainer/log_{0:yyyyMMdd}&#39;, WindowStart)
  • Set the folder path as $$Text.Format(&#39;myblobcontainer/log_{0:yyyyMMdd}&#39;, WindowStart)
  • Create a custom C# activity to parse the files before copying
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