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CSE 444 Practice Problems. DBMS Architecture. 1. Data Independence. (a) What
is physical data independence? Solution: Physical data independence is a ...
CSE 444 Practice Problems DBMS Architecture
1. Data Independence (a) What is physical data independence? Solution: Physical data independence is a property of a DBMS that ensures decoupling between the physical layout of data and applications which access it. In other words, with physical independence, applications are insulated from changes in physical storage details: changes in how the data is stored do not cause application changes.
(b) What properties of the relational model facilitate physical data independence? Solution: Declarative query language or set-at-a-time query language.
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(c) What is logical data independence? Solution: Logical data independence is a property of a DBMS that ensures decoupling between the logical structure of data and applications that operate on it. With this property, changes in the logical data layout like tables, rows, and columns do not require application to be changed.
(d) How can one provide a high level of logical data independence with the relational model? Solution: By defining views.
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2. High-Level DBMS Architecture You should know the key components of a relational DBMS. Please see the lecture notes for an overview. You should also be able to discuss what you implemented in the labs. For example, we could ask you for a high-level description of your buffer manager.
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3. Data Storage and Indexing You should be able to show what happens when one adds/removes data to/from a B+ Tree. Please see the web quizzes for some good examples.
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4. Data Storage and Indexing Suppose we have a relation R(a,b,c,d,e) and there are at least 1000 distinct values for each of the attributes. Consider each of the following query workloads, independently of each other. If it is possible to speed it up significantly by adding up to two additional indexes to relation R, specify for each index (1) which attribute or set of attributes form the search key of the index, (2) if the index should be clustered or unclustered, (3) if the index should be a hash-based index or a B+-tree. You may add at most two new indexes. If adding a new index would not make a significant difference, you should say so. Give a brief justification for your answers. (a) 100,000 queries have the form: select * from R where b