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| Section | Weight | Objectives |
|---|---|---|
| Using DDL Statements to Create and Manage Tables | 14% | - Review the table structure - Create a simple table - Describe the data types that are available for columns - Categorize the main database objects - Alter table definitions - Drop, rename, and truncate tables |
| Using Subqueries to Solve Queries | 15% | - Define subqueries - Describe the types of problems that subqueries can solve - List the types of subqueries - Write single-row and multi-row subqueries |
| Working with Oracle Database SQL | 8% | - Describe the Oracle Database architecture - Explain the installation of Oracle Database software - Create a container database - Start up and shut down a database |
| Using Single-Row Functions to Customize Output | 10% | - Manipulate dates with the date functions - Describe the differences between single-row and multiple-row functions - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Perform arithmetic with date data |
| Displaying Data from Multiple Tables Using Joins | 15% | - Cross join tables - Write SELECT statements to access data from more than one table using equijoins and non-equijoins - Join a table to itself by using a self-join - View data that does not meet a join condition by using outer joins |
| Manipulating Data | 14% | - Update rows in a table - Control transactions - Delete rows from a table - Describe each data manipulation language (DML) statement - Insert rows into a table |
| Using Set Operators | 5% | - Describe the order of precedence when the set operators are used - Describe set operators - Use a set operator to combine multiple queries into a single query |
| Reporting Aggregated Data Using Group Functions | 15% | - Describe the use of group functions - Identify the available group functions - Group data by using the GROUP BY clause - Include or exclude grouped rows by using the HAVING clause |
| Using Conversion Functions and Conditional Expressions | 10% | - Use conditional IF THEN ELSE logic in a SELECT statement - Apply the NVL, NULLIF, and COALESCE functions to data - Describe implicit and explicit data type conversion - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions |
| Retrieving Data Using the SQL SELECT Statement | 5% | - Execute a basic SELECT statement - Differentiate between SQL statements and SQL*Plus commands - List the capabilities of SQL SELECT statements |
| Creating Other Schema Objects | 10% | - Create and maintain indexes - Create synonyms for database objects - Create, maintain, and use sequences - Create, modify, and retrieve data from a view |
| Controlling User Access | 5% | - Grant privileges on tables and on a view - Distinguish between granting privileges and roles - Differentiate system privileges from object privileges |
| Restricting and Sorting Data | 6% | - Use DEFINE and UNDEFINE commands - Sort the rows that are retrieved by a query - Limit the rows that are retrieved by a query - Use ampersand substitution to restrict and sort output at runtime |
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NEW QUESTION # 397
View the exhibit and examine the description of the DEPARTMENTSand EMPLOYEEStables.
The retrieve data for all the employees for their EMPLOYEE_ID, FIRST_NAME, and DEPARTMENT NAME, the following SQL statement was written:
SELECT employee_id, first_name, department_name
FROM employees
NATURAL JOIN departments;
The desired output is not obtained after executing the above SQL statement. What could be the reason for this?
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Natural join needs only one column to be the same in each table. The EMPLOYEESand DEPARTMENTS tables have two columns that are the same (Department_ID and Manager_ID)
NEW QUESTION # 398
Which two queries execute successfully?
Answer: B,C,D,E
Explanation:
The NULLIF and COALESCE functions in Oracle SQL serve specific purposes:
Option A: Executes successfully. NULLIF returns NULL if the two arguments are equal; otherwise, it returns the first argument.
Option B: Also correct. COALESCE returns the first non-null value among its arguments.
Option C: This will not execute successfully because NULLIF requires both arguments to be of comparable data types. Comparing an integer to a character ('100' to 'A') is invalid.
Option D: Executes successfully. NULLIF returns NULL because it compares NULL to a number, which is valid (though always yields NULL).
Option E: Executes successfully. COALESCE accepts any data type as it returns the first non-null value, irrespective of type consistency among the arguments.
NEW QUESTION # 399
Examine the structure proposed for the TRANSACTIONStable:
Which two statements are true regarding the storage of data in the above table structure? (Choose two.)
Answer: A,B
NEW QUESTION # 400
An Oracle database server session has an uncommitted transaction in progress which updated 5000 rows in a table.
In which three situations does the transactions complete thereby committing the updates? (Choose three.)
Answer: A,C,D
Explanation:
Explanation/Reference:
NEW QUESTION # 401
Examine the structure of the PROGRAMS table:
Which two SQL statements would execute successfully?
Answer: A,D
Explanation:
NVL Function
Converts a null value to an actual value:
Data types that can be used are date, character, and number.
Data types must match:
NVL(commission_pct,0)
NVL(hire_date,'01-JAN-97')
NVL(job_id,'No Job Yet')
MONTHS_BETWEEN(date1, date2): Finds the number of months between date1 and date2 . The result can be positive or negative. If date1 is later than date2, the result is positive; if date1 is earlier than date2, the result is negative. The noninteger part of the result represents a portion of the month. MONTHS_BETWEEN returns a numeric value. - answer C NVL has different datatypes - numeric and strings, which is not possible!
The data types of the original and if null parameters must always be compatible. They must either be of the same type, or it must be possible to implicitly convert if null to the type of the original parameter. The NVL function returns a value with the same data type as the original parameter.
NEW QUESTION # 402
......
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