EBK CONCEPTS OF DATABASE MANAGEMENT
8th Edition
ISBN: 8220100706004
Author: Last
Publisher: Cengage Learning US
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Chapter 1, Problem 19RQ
To determine
Way in which complexity of DBMS can be a disadvantage.
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Refer to page 145 for problems on RL algorithms.
Instructions:
• Implement the Q-learning algorithm for a given environment (e.g., grid world).
Show the convergence of the Q-values and the resulting optimal policy.
• Analyze the effects of hyperparameters like learning rate and discount factor.
Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]
Refer to page 120 for problems on web development.
Instructions:
Design a responsive webpage using HTML, CSS, and JavaScript for the given layout.
Ensure proper rendering across devices with different screen sizes.
⚫ Test responsiveness using developer tools and explain design decisions.
Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440AZF/view?usp=sharing]
Refer to page 80 for problems on software development processes.
Instructions:
• Develop a sprint plan for a given project, including user stories and acceptance criteria.
• Simulate one sprint, showing task progress and sprint retrospective outcomes.
• Analyze team velocity and recommend improvements.
Link [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing]
Chapter 1 Solutions
EBK CONCEPTS OF DATABASE MANAGEMENT
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- Refer to page 35 for problems involving MapReduce. Instructions: • Implement a MapReduce program to solve the given problem (e.g., word count, data aggregation). Clearly outline the map and reduce functions, showing intermediate outputs for each step. • Test the program with a sample dataset and verify the correctness of the results. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 1 for problems on file system allocation. Instructions: Compare and simulate file allocation strategies (contiguous, linked, and indexed allocation). . Create a sample file system and allocate files using each strategy, showing intermediate structures. • Analyze space utilization and access time for each method. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 105 for problems on association rule mining. Instructions: • Implement the Apriori algorithm to identify frequent itemsets from the given dataset. • Compute support, confidence, and lift for each rule and interpret the results. Test the algorithm on a sample dataset and verify all intermediate computations. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forward
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