This GCP Data Scientist test evaluates candidates on essential skills such as Python for data science, machine learning with Vertex AI, and data visualization with Google Data Studio. It also covers data security, privacy best practices, and GCP data services like BigQuery, ensuring a comprehensive assessment.
This GCP Data Scientist test is designed to assess candidates' proficiency in key areas such as Python for data science, machine learning with Vertex AI, and data visualization using Google Data Studio. It evaluates the ability to explain complex machine learning concepts, ensuring candidates can communicate effectively with both technical and non-technical stakeholders. The test also covers data security and privacy best practices, as well as data structures and algorithms, providing a well-rounded evaluation of a candidate's capabilities. Additionally, it includes an assessment of GCP data services, particularly BigQuery, to ensure candidates can leverage cloud-based solutions for data analysis and management.
This assessment is ideal for hiring managers, recruiters, and team leads looking to evaluate potential candidates for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and Cloud Data Engineer within organizations that utilize Google Cloud Platform.
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Access to Real-world, work like Assessments - Projects, DevOps, Machine Learning, Subjective (AI Evaluated), Video (Technical Knowledge), Video (Communication Skill), Whiteboarding (AI Evaluated)
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Access to Objective Way of Assessments - MCQs, Checboxes, Fill in the blanks, Subjective (Manually Scored), File Upload (Manually Scored)
Access to Practice Way of Assessments - Programming, Debugging, Database, Data Science,
Access to Real-world, work like Assessments - Projects, DevOps, Machine Learning, Subjective (AI Evaluated), Video (Technical Knowledge), Video (Communication Skill), Whiteboarding (AI Evaluated)
Assessment Design consultation services according to Curriculum, Training or Learning Paths