big-data-analytics-past-papers
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UPLOADED BY Unknown
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DATE 06 Dec 2025
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SIZE 0.77 MB
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notes
About This Document
Document Type: This is a Past Paper, designed for Reviewing previous question patterns.
Context: Standard material from the 2024 academic period.
Key Content: Likely covers essential definitions, 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 deepen their understanding of General Studies.
Detailed Content Overview
Introduction
This notes resource titled "big-data-analytics-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
CISSE ADVANCED LEVEL ELECTIVE I BIG DATA ANALYTICS MONDAY: 2 December 2024. This paper has two sections. SECTION I has twenty (20) short response questions carrying forty (40) marks. SECTION II has three (3) practical questions carrying sixty (60) marks. Marks allocated to each question are indicated in the question. ke Required Resources: • A computer • Jupyter Notebook • Pycharm IDE • Pyspark library • Python • Java JDK • Hadoop software w. c SECTION I (40 MARKS) With the correct techniques, computers can detect hidden patterns in data without explicit instructions. This subset of artificial intelligence is referred to as _____________________. K-Means Clustering is an Unsupervised Learning algorithm that organises an unlabelled dataset into distinct clusters. The Pandas Library functionality that allows concurrent processing of large tabular data on a single machine even if it exceeds its available memory is known as _____________________. What method is used to calculate the correlation between two variables by ranking the data instead of using raw values when the data is not normally distributed and may contain outliers.
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
CISSE ADVANCED LEVEL ELECTIVE I BIG DATA ANALYTICS MONDAY: 2 December 2024. Afternoon Paper. Time Allowed: 3 hours. Answer ALL questions. This paper has two sections. SECTION I has twenty (20) short response questions carrying forty (40) marks. SECTION II has three (3) practical questions carrying sixty (60) marks. Marks allocated to each question are indicated in the question. o. ke Required Resources: • A computer • Jupyter Notebook • Pycharm IDE • Pyspark library • Python • Java JDK • Hadoop...
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