Exam 9: Data Management Layer Design

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In order to reduce the number of joins that must be performed in a query and to increase the speed of data access, the data analyst will _____ the physical model.

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Describe the differences between an ORDBMS and an OODBMS, and list the advantages of using an OODBMS over an OODBMS.

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Explain the difference in the way Structured Query Language processes data compared to traditional programs.

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Explain the term Volumetrics.

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Up until recently, an object-oriented database is mainly used to support multimedia applications or complex systems involving graphics, video and sound.

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A(n) _____ can support large volumes of data and support applications that run an entire company.

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Lauren and her team have been hired to create a transaction system for Mike's Motorcycles. Mike's is a medium size shop with 10 employees that sells motorcycle parts and does repair on motorcycles, lawn mowers, and other small engine systems (boats, dune buggies, tractors, etc.) As part of Lauren's team, you need to recommend relational database management system.

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Most object-oriented programming languages support sequential and random access files.

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A file contains an electronic list of information that is formatted for a particular transaction, and the information is changed and manipulated by programs that are written for those purposes.

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Explain the object persistence format type known as Relational databases.

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Explain the term clustering.

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A(n) _____ is basically an electronic list of information that is stored on a disk.

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Explain the object persistence format type known as Object-relational databases.

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Summarize the first three steps of the normalization process.

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The Object Relational DBMS has all advantages from both the Relational DBMS and the Object-Oriented DBMS.

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The two primary dimensions to optimize a relational database are storage efficiency and future needs.

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Discuss the three situations in which denormalization will reduce joins and improve data access performance.

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Sequential access files are very efficient for operations such as report writing.

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The leader in the database market and a system that can handle diverse data needs is the relational DBMS.

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It is likely easier today to find expertise in OODBMS than in RDBMS.

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