Data Warehousing Practice Exams for Interviews

6 Practice Tests with 200+ high-quality questions to gauge your Data warehousing skills and ace your interviews

Data Warehousing Practice Exams for Interviews
Data Warehousing Practice Exams for Interviews

Data Warehousing Practice Exams for Interviews free download

6 Practice Tests with 200+ high-quality questions to gauge your Data warehousing skills and ace your interviews

Welcome to the best practice tests to help you prepare for your interviews/improve your skillset on Data Warehousing and other concepts. These Practice tests are designed to test your knowledge on Data Warehousing and Data Modelling along with other related topics.

Contain 6 separate timed tests of 40 questions each. 240 questions total.

- Each question has detailed explanations at the end of each set that will help you gain a deeper understanding of the concepts.

- The explanation provides an overview of the topic, rationale on why the option is correct or incorrect

- MOBILE-COMPATIBLE - so you can conveniently review everywhere, anytime with your smartphone!

  • You can retake the exams as many times as you want

  • This is a huge original question bank

  • You get support from instructors if you have questions

  • Each question has a detailed explanation

  • 30-days money-back guarantee if you're not satisfied

Specifically, these practice tests will cover the following topics:

  • Foundational data warehousing concepts and fundamentals

  • Datamarts

  • The fundamentals of dimensional analysis and modeling

  • Change Data Capture

  • ETL Strategies with respect to Data Warehousing

  • 3 tier Data Warehouse Architecture

  • OLTP ,OLAP and its types

  • ODS, Data Marts

  • Facts, Dimensions, SCD

  • Types of facts and dimensions

  • Ralph Kimball Methodology

  • Star Schema

  • Snow Flake schema

  • Fact Constellation Schema

  • Bus Architecture

  • Bill Inmon Methodology

  • Normal Forms

  • Types of Database Keys

  • Basics of RDBMS and types of keys

  • Dimensional Modelling