Database Systems: Design, Implementation & Management
13th Edition
ISBN: 9781337670562
Author: Coronel
Publisher: Cengage
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Chapter 10, Problem 5P
Explanation of Solution
It is the process of restoring a database to a previous consistent state. It reverses the process of transaction from inconsistent state to previous consistent state. The duration of database recovery may vary depending on the type and extent of the failure. The user cannot access the previous data without backup.
The database recovery process has the set of predictable scenario is as follows:
- Determine the type and time estimation for the required recovery.
- The recovery process uses the backup copy of the database that needs to convert the consistent state.
- Transaction log can be used to restore all subsequent transactions.
Techniques that was used in database recovery:
The technique of database recovery used to bringing the database to a consistent state after a failure...
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[5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}.
2) [12 marks] Consider the following languages over the alphabet ={a ,b},
(i) The language of all words that begin and end an a
(ii) The language where every a in a word is immediately followed by at least one b.
(a) Express each as a Regular Expression
(b) Draw an FA for each language
(c) For Language (i), draw a TG using at most 3 states
(d) For Language (ii), construct a CFG.
Question 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.
Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.
Chapter 10 Solutions
Database Systems: Design, Implementation & Management
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