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58. Views may assist with security policy implementation by a. Storing database audit results b. Restricting table rows to which a user has access c. Restricting the table columns to which a user has access d. Restricting the databases to which a user has access e. Monitoring for database intruders 59. A transaction a. Changes the database from one consistent state to another b. Has properties described by the ACID acronym c. May not be partially processed d. May be partially processed e. Is sometimes called a unit of work 60. The process that backs out changes made by a failed transaction is called a. Recovery b. Savepoint creation c. Transaction logging d. Commit e. Rollback 61. The process that makes transaction changes permanent is called a. Recovery b. Savepoint creation c. Transaction logging d. Commit e. Rollback 62. Support for transactions in relational databases includes a. Distributed database management b. Logging each transaction in the transaction log c. Identifying the beginning of each transaction d. Identifying the end of each transaction e. Periodic database backups

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63. The amount of data held by a lock (lock granularity) can be a a. Column b. Row c. Table d. Block or page e. Database 64. The concurrent update problem a. Cannot occur when AUTOCOMMIT is set to ON b. Occurs when two database users submit con icting SELECT statements c. Occurs when two database users make con icting updates to the same data d. Is a consequence of simultaneous data sharing e. Is the reason that transaction locking must be supported 65. A lock a. May cause contention when other users attempt to update locked data b. May have levels and an escalation protocol in some RDBMS products c. Has a timeout set in DB2 and some other RDBMS products d. Is a control placed on data to reserve it so that the user may update it e. Is usually released when a COMMIT or ROLLBACK takes place 66. A deadlock a. Can theoretically put two or more users in an endless lock wait state b. Is a lock that has timed out and is therefore no longer needed c. May be resolved by deadlock detection on some RDBMSs d. May be resolved by lock timeouts on some RDBMSs e. Occurs when two database users each request a lock on data that is locked by the other 67. A cursor is a. A pointer into a result set b. The same as a result set c. A method to analyze the performance of SQL statements d. The collection of rows returned by a database query e. A buffer that holds rows retrieved from the database

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Identifying process measurements begins by looking at all aspects of a process: inputs, process steps, and outputs. The inputs are typically related to the material or information, method or approach, machine or tools, people resources or skills, environmental factors, and measurement capability. The objective is to identify (1) inputs that are performing at a high level (almost at the 100 percent level of acceptability), (2) the variables that show larger variances from the target values, or (3) parameters that directly correlate to the process output. The significant parameters are chosen to be the measurements at the process level for monitoring.

de nition. The main advantage of table constraints over column constraints is that table constraints can reference more than one column. The meaning of each type of constraint has already been covered (in the column constraints topic), so only the general syntax and an example are shown here. The examples all use the CUSTOMER_ACCOUNT table, but some of them have been altered in order to demonstrate key points. CHECK constraint

[CONSTRAINT constraint_name] CHECK (condition) Example: CONSTRAINT CK_CUSTOMER_DEPOSIT_AMOUNT CHECK (CUSTOMER_DEPOSIT_AMOUNT >= 0 OR CUSTOMER_DEPOSIT_AMOUNT IS NULL)

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Sometimes it is difficult to quantify measures for certain parameters, and it requires creativity to establish a realistic, practical, and economic measurement that will quantify variances in the process The measurement method does not have to be perfect in terms of absolute measurements The rate of improvement, instead of the absolute value, becomes more critical in making positive contributions to the process output and the ultimate profitability For example, let s look at two competing car manufacturers One has a starting defect rate of 130 defects per unit and the other, 110 defects per unit At the end of 2 years, if both companies have achieved their planned rate of improvement of 10 times in 2 years, the defects per unit will be 13 and 11, respectively In both cases, the results are much better than what they started with.

This check constraint prevents a negative amount from being stored in the CUSTOMER_DEPOSIT_AMOUNT column. Notice the OR in the expression that also allows null values in the column. If this were not included, any attempt to store a null value would fail because a null value is not greater than or equal to zero. UNIQUE constraint

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