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1 B and C Single-row functions execute once for every record selected in a dataset and may take either no input parameters, like SYSDATE, or many input parameters A and D A function by definition returns only one result and there are many functions with no parameters 2 A The SUBSTR function extracts a four-character substring from the given input string starting with and including the fifth character The characters at positions 1 to 4 are How_ Starting with the character at position 5, the next four characters form the word long B, C, and D B is a five-character substring beginning at position 4, while ring , which is also five characters long, starts five characters from the end of the given string 3 B The INSTR function returns the position that the nth occurrence of the search string may be found after starting the search from a given start position The search string is the underscore character, and the third occurrence of this character starting from position 5 in the source string occurs at position 14 A, C, and D Since position 4 is the first occurrence of the search string and position 12 is the third occurrence if the search began at position 1 4 C When 14 is divided by 3, the answer is 4 with remainder 2 A, B, and D 5 A Since the first of January 2009 falls on a Thursday, the date of the following Wednesday is six days later B, C, and D B returns the last day of the month in which the given date falls, and C returns a character string instead of a date 6 C The date TRUNC function does not perform rounding, and since the degree of truncation is YEAR, the day and month components of the given date are ignored and the first day of the year it belongs to is returned A, B, and D A returns the last day in the month in which the given date occurs, and B returns a result achieved by rounding instead of truncation 7 D Dates are only converted into character strings using TO_CHAR, not the TO_DATE function A, B, and C A, B, and C are correct statements.

9 Erase (and paint back as necessary) until you re satisfied with the appearance of your photo, particularly how it blends with the background color Figure 4-6 shows how my image looks now

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8 A The DD component returns the day of the month in uppercase Since it is a number, it does not matter, unless the th mask is applied, in which case that component is specified in uppercase MONTH returns the month spelled out in uppercase B, C, and D B would be returned if the format mask was fmddth Month , and C would be returned if the format mask was fmDDspth MONTH 9 A The NULLIF function compares its two parameters, and since they are different, the first parameter is returned The NVL2( CODA , SPANIEL , TERRIER ) function call returns SPANIEL, since its first parameter is not null B, C, and D 10 B The innermost function TO_CHAR(SYSDATE, MM ) results in the character string 07 being returned The outer function is DECODE( 07 , 02 , TAX DUE , PARTY ) Since 07 is not equal to 02 , the else component PARTY is returned A, C, and D A would only be returned if the month component extracted from SYSDATE was 02

In this chapter you will learn to 05151 Identify the Available Group Functions 05152 Describe the Use of Group Functions 05153 Group Data by Using the GROUP BY Clause 05154 Include or Exclude Grouped Rows by Using the HAVING Clause

Figure 4-6

Single-row functions, explored in 10, return a single value for each row in a set of results Group or aggregate functions operate on multiple rows They are used to count the number of rows or to find the average of specific column values in a dataset Many statistical operations, such as calculating standard deviation, medians, and averages, depend on executing functions against grouped data and not just single rows You will examine group functions in two stages A discussion of their purpose and syntax precedes a detailed analysis of the AVG, SUM, MIN, MAX, and COUNT functions Grouping or segregating data based on one or more column values is examined before the GROUP BY clause is introduced The WHERE clause restricts rows in a dataset before grouping, while the HAVING clause restricts them after grouping This chapter concludes with a discussion of the HAVING clause

This section defines SQL group functions and discusses the different variants The syntax and examples demonstrating the selected group functions are provided along with a discussion of their data types and the effect of the DISTINCT keyword and null values

Group functions operate on aggregated data and return a single result per group These groups usually consist of zero or more rows of data Single-row functions are defined with the formula: F(x, y, z, ) = result, where x, y, z are input parameters The function F executes on one row of the dataset at a time and returns a result for each row Group functions may be defined using the following formula: F(g1, g2, g3, , gn) = result1, result2, result2, , resultn; The group function executes once for each cluster of rows and returns a single result per group These rows within these groups are associated using a common value or attribute If a table is presented as one group to the group function in its entirety, then one result is returned One or more group functions may appear in the SELECT list as follows:

After erasing part of my photograph using the layer mask, I m satisfied with how the photo blends into the background color

SELECT group_function(column or expression), FROM table [WHERE ] [ORDER BY]

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