Azure Machine Learning is an end-to-end data science and advanced analytics solution that enables data scientists to prepare data, develop experiments, and deploy models at cloud scale, fully supporting open-source technologies. Azure Machine Learning Studio provides an interactive, visual workspace for easily building, testing, and iterating predictive analysis models.

The Azure Machine Learning skills assessment by Cloud Institute helps recruiters and hiring managers evaluate candidates' abilities to work with Azure Machine Learning analytics. This assessment measures practical knowledge and job readiness, designed and validated by experienced subject matter experts to meet industry standards. Candidates can take the Azure Machine Learning online assessment from anywhere at their convenience.

The Azure Machine Learning skills assessment screens candidates for the following traits:

1. Ability to perform data cleaning, data analysis, and interpretation
2. Proficiency with Python and PowerShell scripting
3. Knowledge of Machine Learning Studio and data science virtual machines
4. Understanding of normalization techniques and Azure CLI

Cloud Institute’s assessment platform allows easy invitation of candidates to take the Azure Machine Learning assessment, providing instant results that can be shared with hiring managers and interviewers along with interview notes. Our powerful reporting features enable section-wise performance analysis to identify candidate strengths and weaknesses, and features like window violation and webcam proctoring help detect malpractice during the assessment.

This pre-employment assessment is useful for hiring:

• Machine Learning Specialists
• Data Engineers specializing in Machine Learning
• Machine Learning Research Scientists

Assessment Details: The Azure Machine Learning interview assessment may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive Questions, Whiteboard Questions, Audio/Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, and True/False Questions. This assessment is designed according to EEOC guidelines to help assess and hire diverse talent without bias.