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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 the movement of data between supported data stores and processing of data using computer services in other regions or in an on-premise 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 & validated by experienced industry experts to assess & hire Azure data developer as per the industry standards. This test evaluates a candidate's practical knowledge and will identify whether the candidate is ready to be employed.Azure data factory skills test can be taken by candidates 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, Azure Data Services 2. Good knowledge of technologies, such as Azure Stream Analytics, Power BI 3. Experience in developing solutions using Azure data factory 4. Knowledge of creating database schemas, database models
Our powerful 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 candidate to gauge his/her strengths and weaknesses. Features like window violation and webcam proctoring help to detect cheating during the test.
Azure data factory 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, 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.
This Azure Data Factory Online Test is useful for hiring
Azure Data Developer
Azure Developer- Data Factory
Sr. Software Developer - Azure Data Factory
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 not have to work around too much restructuring of my blobs. How should I accomplish this task?
I have recently started working on Azure Data Factory and am exploring the JSON structures of various objects in Data Factory. I'm currently looking at the JSON structure for defining the pipeline. Which of the following properties are non-mandatory in pipeline JSON definition?
Note: There can be multiple correct answers to this question.