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| Section | Weight | Objectives |
|---|---|---|
| Retrieving Data Using the SQL SELECT Statement | 5% | - List the capabilities of SQL SELECT statements - Differentiate between SQL statements and SQL*Plus commands - Execute a basic SELECT statement |
| Using Conversion Functions and Conditional Expressions | 10% | - Describe implicit and explicit data type conversion - Use conditional IF THEN ELSE logic in a SELECT statement - Apply the NVL, NULLIF, and COALESCE functions to data - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions |
| 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 DDL Statements to Create and Manage Tables | 14% | - Alter table definitions - Drop, rename, and truncate tables - Review the table structure - Create a simple table - Categorize the main database objects - Describe the data types that are available for columns |
| Reporting Aggregated Data Using Group Functions | 15% | - Group data by using the GROUP BY clause - Describe the use of group functions - Include or exclude grouped rows by using the HAVING clause - Identify the available group functions |
| Using Subqueries to Solve Queries | 15% | - List the types of subqueries - Describe the types of problems that subqueries can solve - Define subqueries - Write single-row and multi-row subqueries |
| Using Set Operators | 5% | - Describe the order of precedence when the set operators are used - Use a set operator to combine multiple queries into a single query - Describe set operators |
| Manipulating Data | 14% | - Describe each data manipulation language (DML) statement - Update rows in a table - Delete rows from a table - Control transactions - Insert rows into a table |
| Using Single-Row Functions to Customize Output | 10% | - Describe the differences between single-row and multiple-row functions - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Perform arithmetic with date data - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate dates with the date functions |
| Restricting and Sorting Data | 6% | - Use DEFINE and UNDEFINE commands - Sort the rows that are retrieved by a query - Use ampersand substitution to restrict and sort output at runtime - Limit the rows that are retrieved by a query |
| Displaying Data from Multiple Tables Using Joins | 15% | - Write SELECT statements to access data from more than one table using equijoins and non-equijoins - View data that does not meet a join condition by using outer joins - Join a table to itself by using a self-join - Cross join tables |
| Controlling User Access | 5% | - Grant privileges on tables and on a view - Differentiate system privileges from object privileges - Distinguish between granting privileges and roles |
| Creating Other Schema Objects | 10% | - Create, maintain, and use sequences - Create synonyms for database objects - Create and maintain indexes - Create, modify, and retrieve data from a view |
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NEW QUESTION # 199
View the Exhibits and examine the structure of the COSTS and PROMOTIONS tables.
You want to display PROD_IDS whose promotion cost is less than the highest cost PROD_ID in a promotion time interval.
Examine this SQL statements:
What will be the result?
Exhibit 1.
Exhibit 2.
Answer: C
NEW QUESTION # 200
View the Exhibit and examine the data in EMPand DEPTtables.
In the DEPTtable, DEPTNOis the PRIMARY KEY.
In the EMPtable, EMPNOis the PRIMARY KEYand DEPTNOis the FOREIGN KEYreferencing the DEPTNO column in the DEPTtable.
What would be the outcome of the following statements executed in the given sequence?
DROP TABLE emp;
FLASHBACK TABLE emp TO BEFORE DROP;
INSERT INTO emp VALUES (2, 'SCOTT', 10);
INSERT INTO emp VALUES (3, 'KING', 55);
Answer: D
NEW QUESTION # 201
Which statement is true about the Oracle SQL, DELETEand TRUNCATEstatements?
Answer: C
NEW QUESTION # 202
Examine the description of the ENPLYEES table:
Which two queries return all rows for employees whose salary is greater than the average salary in their department?
Answer: A,C
Explanation:
GROUP BY department _ id
Explanation:
To return all rows for employees whose salary is greater than the average salary in their department, you would use either a subquery or an analytic function:
Option B:
SELECT ... FROM employees WHERE salary > AVG(salary) OVER (PARTITION BY department_id); This uses the window function AVG with PARTITION BY to calculate the average salary per department, and it compares each employee's salary to this average.
Option C:
SELECT ... FROM employees e1 WHERE salary > (SELECT AVG(salary) FROM employees e2 WHERE e1.department_id = e2.department_id); This correlated subquery compares each employee's salary to the average salary in their department using a subquery to calculate the average salary for that department.
Options A, D, and E are incorrect because:
Option A: The use of ANY with the subquery does not ensure comparison with the average salary of their respective department.
Option D: This is syntactically incorrect; the subquery alias avg_sal is not accessible outside the subquery.
Option E: The subquery does not correlate with the outer query to ensure that each employee's salary is compared to the average salary of their respective department.
NEW QUESTION # 203
Which statement correctly grants a system privilege?
Answer: A
NEW QUESTION # 204
......
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