warehousing-and-data-mining-past-papers
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DATE 06 Dec 2025
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SIZE 0.79 MB
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notes
About This Document
Document Type: This is a Exam Paper, designed for Testing knowledge and exam technique.
Context: Standard material from the 2024 academic period.
Key Content: Likely covers essential definitions, technical implementation, and structured questions to test your proficiency.
Study Strategy: Attempt these questions under timed conditions to simulate a real exam environment, then check against your notes.
Recommendation: comprehensive resource for students aiming to achieve top grades in their final assessments.
Detailed Content Overview
Introduction
This notes resource titled "warehousing-and-data-mining-past-papers" provides comprehensive exam preparation materials designed to test and enhance your understanding. This resource is structured to facilitate effective learning and retention of important information.
Key Topics Covered
Learning Objectives
- Master key concepts required for examination success
- Practice answering exam-style questions effectively
- Develop time management skills for timed assessments
- Identify and address knowledge gaps in understanding
Detailed Summary
DIPLOMA IN DATA MANAGEMENT AND ANALYTICS (DDMA) LEVEL II WAREHOUSING AND DATA MINING MONDAY: 2 December 2024. This paper has two (2) sections. SECTION I has twenty (20) short response questions of two (2) marks each. SECTION II has three (3) practical questions of sixty (60) marks. Marks allocated to each question are shown at the end of the question. ke Required Resources: • A computer • SQL Server Management Studio • Python program • R Studio • Orange Software • Jupyter Notebook • Ms Access 2016 w. ch op SECTION I (40 MARKS) The ability of a data-mining algorithm to grow linearly in proportion to the dataset size while holding the available resources such as memory and the CPU constant is known as _________________. Which layer in data warehouse architecture supports the storage of all data. The comparison of general features of target class data object with the general features of an object from one or more sets of contrasting classes as used in data mining is called ________________.
Study Tips & Recommendations
Time Management
Practice under timed conditions to improve speed and accuracy. Allocate specific time limits to each section.
Active Practice
Attempt all questions before checking answers. Review mistakes to understand where improvements are needed.
Mark Scheme Review
Study marking schemes carefully to understand how examiners award points and structure your answers accordingly.
Regular Review
Schedule periodic reviews to reinforce learning and combat forgetting. Use spaced repetition for optimal retention.
Content Preview
DIPLOMA IN DATA MANAGEMENT AND ANALYTICS (DDMA) LEVEL II WAREHOUSING AND DATA MINING MONDAY: 2 December 2024. Afternoon paper. Time Allowed: 3 hours. Answer ALL questions. This paper has two (2) sections. SECTION I has twenty (20) short response questions of two (2) marks each. SECTION II has three (3) practical questions of sixty (60) marks. Marks allocated to each question are shown at the end of the question. i.c o. ke Required Resources: • A computer • SQL Server Management Studio • Python p...
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