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Advanced SQL & Database Design: Practice Exams
100 students

What you'll learn

  • Write complex, high-performance analytical queries using Window Functions (RANK, DENSE_RANK, ROW_NUMBER) and Common Table Expressions (CTEs).
  • Architect highly efficient relational databases by mastering the rules of Normalization (1NF, 2NF, 3NF) to eliminate data redundancy.
  • Optimize slow-running queries by understanding how the database engine utilizes B-Tree indexes, and when to avoid Correlated Subqueries.
  • Manage concurrent data modifications securely by applying ACID properties (Atomicity, Consistency, Isolation, Durability) and Transaction Controls (COMMIT, ROLL

Included in This Course

0 questions

  • Advanced SQL & Database Design: Practice Exams Set-150 questions
  • Advanced SQL & Database Design: Practice Exams Set-250 questions
  • Advanced SQL & Database Design: Practice Exams Set-350 questions
  • Advanced SQL & Database Design: Practice Exams Set-450 questions

Description

Data is the lifeblood of the modern enterprise, and Structured Query Language (SQL) is the universal language used to harness it. However, there is a massive difference between writing a basic query to pull a few rows of data and architecting a complex analytical pipeline that processes millions of records without crashing the server. Welcome to the Advanced SQL & Database Design practice assessments! Top-tier tech companies are desperately searching for engineers and analysts who understand how database engines actually work under the hood. They need professionals who know how to optimize indexing strategies, traverse hierarchical data using recursive CTEs, and guarantee data integrity through strict normalization rules.

This comprehensive practice test course provides you with 200 realistic, highly technical questions modeled directly after the grueling database architecture interviews conducted by leading tech firms. Across these four rigorous practice exams, you will face direct, scenario-based challenges spanning a massive array of global industries. You will be tested on your ability to manage concurrent transactions in high-frequency fintech trading applications, optimize read-heavy e-commerce inventory databases using B-Tree indexes, and extract complex trend analytics from multi-year healthcare patient records using Window Functions.

The questions in this course cut through the beginner-level syntax tutorials and dive straight into advanced relational theory. You will be challenged on the exact mathematical differences between RANK and DENSE_RANK, the operational mechanics of the HAVING clause versus the WHERE clause, and the security benefits of utilizing Stored Procedures against SQL injection attacks. If you are preparing for a rigorous data engineering technical screen, aiming to optimize your company's slow-running legacy reports, or simply wanting to prove you can handle massive relational datasets with precision, this is your ultimate testing ground. Enroll today and start querying like a senior engineer!

Course locale: English (US)

Course instructional level: Advanced Level

Course category: Development

Course subcategory: Database Design & Development

Who this course is for:

  • Data Analysts, Back-End Software Engineers, and Data Engineers who want to move beyond basic SELECT * queries and validate their ability to architect and query enterprise-grade relational databases.

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