Azure Data Factory Test

Test duration:

min

No. of questions:

Level of experience:

Entry Level/Mid/Senior

Azure Data Factory Test

The Azure Data Factory Test is designed to evaluate a candidate's ability to build, manage, and optimize data pipelines on the Azure platform. It assesses skills in ETL processes, data integration, and orchestration across diverse data sources. This test helps recruiters identify professionals who can deliver efficient, scalable, and secure data workflows using Azure Data Factory.

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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.

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How it works

Test Summary

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

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

Azure data factory pre-employment test may contain MCQs (Multiple Choice Questions), MAQs (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. This Test is designed considering EEOC guidelines, it will help you assess & hire diverse talent without any bias.

Useful for hiring

Azure Data Developer
Azure Developer- Data Factory
Sr. Software Developer - Azure Data Factory

Test Duration

min

No. of Questions

Level of Expertise

Entry Level/Mid/Senior

Topics Covered

Deployment

This test evaluates a candidate's ability to deploy Azure Data Factory solutions and configure environments for production readiness.

Rest API

This test assesses a candidate's knowledge of using Azure Data Factory REST APIs for pipeline automation and integration with external systems.

Custom Activity Development

This test evaluates a candidate's skills in developing and running custom activities within Azure Data Factory pipelines.

Migration

This test assesses a candidate's ability to migrate data pipelines and workloads to Azure Data Factory with minimal disruption.

Features

This test evaluates a candidate's familiarity with core Azure Data Factory features, including data flows, triggers, and integration runtime.

Data Management Gateway

This test assesses a candidate's understanding of configuring and using Data Management Gateway to securely connect on-premises data sources with Azure Data Factory.

Sample Question

Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.

Question type

Multiple Option

Topics covered

Development

Difficulty

Medium

Question:

Q 1. I want to slice the blob based on month, year, and day. I have a file named myblobcontainer/log_20151231_144229.csv, which is 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?

Set the folder path as: $$Text.Format ('myblobcontainer/log_{YYYYMMDD_HHMMSS}', WindowStart)

Set the activity source as: $$Text.Format ('myblobcontainer/log_{0:yyyyMMdd}', WindowStart)

Set the folder path as: $$Text.Format ('myblobcontainer/log_{0:yyyyMMdd}', WindowStart)

Create a custom C# activity to parse the files before copying.