code 39 barcode generator asp.net

code 39 barcode generator asp.net

asp.net code 39 barcode

code 39 barcode generator asp.net

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What predicate can you use in place of the two predicates shown in this statement RETAIL_PRICE BETWEEN 14 AND 16 6. What keyword can you add to a BETWEEN predicate to find the inverse of the condition specified by the predicate NOT 7. When is a null value used in a column A null value is used in place of a value when that value is undefined or not known. A null indicates that the value is absent. This is not the same as a zero, a blank, or a default value. 8. You want to query a table to determine which values are null. What type of predicate should you use NULL predicate 9. You re creating a SELECT statement that queries the ARTISTS_BIO table. You want to return all columns in the table, but you want to return only those rows that do not contain null values in the PLACE_OF_BIRTH column. Which SELECT statement should you use

a. Using VARCHAR for all variable-length character columns b. Using the smallest possible numeric data type that holds the data values c. Using triggers whenever possible d. Using identical data types for primary keys and their matching foreign keys e. Using identical data types for all primary key columns 5. A query execution plan a. Describes how the DBMS will execute a query b. Is stored in the SQL cache c. Is created using the explain plan feature of the RDBMS d. Requires a plan table to hold the explain results e. Requires the use of a stored procedure 6. The query optimizer a. Creates a query execution plan in the plan table b. Determines the best way to execute an SQL statement c. May use statistics gathered from the database d. May use rules applied to the way the statement was written e. Can be cost-based or rule-based 7. In order to design proper queries, the developer should a. Know the characteristics of the data in the database b. Match data types in predicates c. Use hints as much as possible d. Avoid unnecessary tables and columns e. Maximize the number of rows in each result set 8. Table scans can be avoided by a. Including a WHERE clause that references an indexed column b. Using GROUP BY instead of DISTINCT c. Making sure that statistics are up to date

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Now that you ve told your NT machine to capture the information you re interested in, you can use Event Viewer to view the data.

Appendix A:

You should use the following SQL statement: SELECT * FROM ARTISTS_BIO WHERE PLACE_OF_BIRTH IS NOT NULL; 10 You re querying the CD_INVENTORY table You want to view all columns, but you want to view only rows that contain the word Christmas in the name of the CD The names are stored in the CD_TITLE column Which SELECT statement should you use You should use the following SQL statement: SELECT * FROM CD_INVENTORY WHERE CD_TITLE LIKE ('%Christmas%'); 11 What is the difference between a percentage sign and an underscore when used in a LIKE predicate The percentage sign represents zero or more unknown characters, and the underscore represents exactly one unknown character 12 What two types of data sources can you use in an IN predicate A defined list or a subquery 13.

3:

d. Making at least one predicate references the leading column of an index e. Avoiding unnecessary columns 9. An index cannot be used when a. The WHERE clause references the second column of an index b. A LIKE clause references a comparison string that contains a wildcard (except in the rst position of the string) c. The NOT operator is used in a predicate d. An SQL function is included in a column comparison (except when they match a function-based index) e. The NOT EQUAL operator is used in a predicate 10. Considerations for using indexes include a. Placing indexes on all frequently updated columns b. Placing indexes on foreign key columns c. Avoiding overlapping indexes d. Creating indexes on columns that have only a few possible values e. Avoiding unique indexes 11. Tuning considerations for MySQL include a. Function-based indexes b. Hash indexes c. Clustering indexes d. Storage engine options e. Bit-map indexes 12. Tuning considerations for Oracle include a. Function-based indexes b. Hash indexes c. Clustering indexes d. Storage engine options e. Bit-map indexes 13. Tuning considerations for Microsoft SQL Server include a. Function-based indexes b. Hash indexes

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