DATABASE SYSTEMS-MINDTAPV2.0
13th Edition
ISBN: 9780357427873
Author: Coronel
Publisher: CENGAGE L
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Chapter 12, Problem 13RQ
Program Plan Intro
Query optimization functions:
The objective of query optimization functions helps to reduce the costs related to
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Distributed Systems: Consistency Models
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structions:
Compare different consistency models (e.g., strong, eventual, causal) for distributed databases.
Evaluate the trade-offs between availability and consistency in a given use case.
Propose the most appropriate model for the scenario and explain your reasoning.
Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing]
Operating Systems: Deadlock Detection
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If a deadlock exists, identify the processes and resources involved.
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Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]
Artificial Intelligence: Heuristic Evaluation
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Given a search problem, propose and evaluate a heuristic function.
Compare its performance to other heuristics based on search cost and solution quality.
Justify why the chosen heuristic is admissible and/or consistent.
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- Refer to page 10 for problems on parsing. Instructions: • Design a top-down parser for the given grammar (e.g., recursive descent or LL(1)). • Compute the FIRST and FOLLOW sets and construct the parsing table if applicable. • Parse a sample input string and explain the derivation step-by-step. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 20 for problems related to finite automata. Instructions: • Design a deterministic finite automaton (DFA) or nondeterministic finite automaton (NFA) for the given language. • Minimize the DFA and show all steps, including state merging. • Verify that the automaton accepts the correct language by testing with sample strings. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 60 for solving the Knapsack problem using dynamic programming. Instructions: • Implement the dynamic programming approach for the 0/1 Knapsack problem. Clearly define the recurrence relation and show the construction of the DP table. Verify your solution by tracing the selected items for a given weight limit. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]arrow_forward
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