Cloud Computing for Data Analysis  - Final Exam - Preparing

- The Exam is Open Book / Open Notes

- The Exam is taken on Canvas 

- There are 3 hours allowed for the Exam

- There are 21 Multiple Choice Questions on the Exam

- Questions come from the following subjects :

Part 1. - 3 questions from :
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PowerPoints : 
S_IR_01_Boolean_Retrieval_Chapter01.pptx
MMS_09_Link_Analysis_PageRank_Chapter05.pptx
Book : 
Chapter 1. from Book 4. InformationRetrieval 
Chapter 2. from Book 4. InformationRetrieval
Chapter 5. from Book 1. MiningOfMassiveDatasets 

Part 2. - 3 questions from :
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PowerPoints : 
chapter2_Data.ppt
AssociationRules_Agrawal.pptx

Part 3. - 3 questions from :
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WordDocuments : 
AgrawalExample.doc
FrequentPatternGrowth_FPTree.doc
Book :
Chapter 6. from Book 1. MiningOfMassiveDatasets

Part 4. - 3 questions from :
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WordDocument : LERS.doc
PowerPoint : ActionRules_Simple.ppt

Part 5. - 3 questions from :
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PowerPoints : 
MMS_07_Recommender_System_01_Chapter09.pptx
S_MMS_07_Recommender_System.pptx
DecisionTrees_ID3.ppt
Book :
Chapter 9. from Book 1. MiningOfMassiveDatasets

Part 6. - 3 questions from :
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PowerPoints : 
MMS_11_Analysis_Of_Massive_Graphs_01_Chapter10.pptx
MMS_17_Computational_Advertising_Chapter08.pptx
Book :
Chapter 10. from book 1. MiningOfMassiveDatasets
Chapter 8. from book 1. MiningOfMassiveDatasets

Part 7. - 3 questions from :
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PowerPoint : IR_13_TextClassification_NaiveBayes.ppt
Book :
Chapter 13. from book 4. Information Retrieval