Purpose

This assessment is designed for freshers with 0–1 years of experience aiming to become AI Data Architects in the IT, Software & ITeS industry. Its main goal is to evaluate foundational knowledge in data architecture, management, and relevant technologies.

Overview

The test is structured to assess freshers aspiring to enter the field of data architecture, particularly in AI contexts. It evaluates core traits such as analytical thinking, problem-solving, and a foundational understanding of data systems. Skills assessed include data modeling, where candidates must understand different database models and their applications; database management, focusing on indexing and retrieval techniques; and data warehousing, assessing knowledge of schemas and data lakes. The test also covers data governance, emphasizing the role of data stewards and architects, and data security, focusing on encryption and data integrity. Overall, it ensures candidates have a solid grounding in essential data architecture concepts.

• Industry: IT, Software & ITeS
• Level: Fresher
• Tag: AI - Data Architect
• Total Questions: 25

Skills

• Data Modeling
• Database Management
• Data Warehousing
• Data Governance
• Data Security
• ETL Processes
• Data Profiling
• Data Normalization
• Big Data Concepts
• Data Transformation

Ideal Roles

• AI Data Architect
• Junior Data Architect
• Entry-Level Data Engineer
• Database Administrator