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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Retrieving Data Using the SQL SELECT Statement | 5% | - List the capabilities of SQL SELECT statements - Execute a basic SELECT statement - Differentiate between SQL statements and SQL*Plus commands |
| Topic 2: Displaying Data from Multiple Tables Using Joins | 15% | - 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 - Cross join tables |
| Topic 3: Working with Oracle Database SQL | 8% | - Start up and shut down a database - Create a container database - Describe the Oracle Database architecture - Explain the installation of Oracle Database software |
| Topic 4: Restricting and Sorting Data | 6% | - Use ampersand substitution to restrict and sort output at runtime - Limit the rows that are retrieved by a query - Use DEFINE and UNDEFINE commands - Sort the rows that are retrieved by a query |
| Topic 5: Manipulating Data | 14% | - Delete rows from a table - Describe each data manipulation language (DML) statement - Insert rows into a table - Update rows in a table - Control transactions |
| Topic 6: 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 - Manipulate dates with the date functions - Perform arithmetic with date data - Manipulate strings with character function in the SELECT and WHERE clauses |
| Topic 7: 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 |
| Topic 8: Controlling User Access | 5% | - Differentiate system privileges from object privileges - Grant privileges on tables and on a view - Distinguish between granting privileges and roles |
| Topic 9: Reporting Aggregated Data Using Group Functions | 15% | - Identify the available group functions - Describe the use of group functions - Include or exclude grouped rows by using the HAVING clause - Group data by using the GROUP BY clause |
| Topic 10: Using Conversion Functions and Conditional Expressions | 10% | - Use conditional IF THEN ELSE logic in a SELECT statement - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - Describe implicit and explicit data type conversion - Apply the NVL, NULLIF, and COALESCE functions to data |
| Topic 11: 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 |
| Topic 12: Using DDL Statements to Create and Manage Tables | 14% | - Describe the data types that are available for columns - Review the table structure - Categorize the main database objects - Drop, rename, and truncate tables - Alter table definitions - Create a simple table |
| Topic 13: 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 |
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NEW QUESTION # 68
SELECT *
FROM bricks,colors;
Which two statements are true?
Answer: A,E
Explanation:
For the SELECT statement from two tables without a JOIN clause:
* Option B: You can add a WHERE clause with filtering criteria.
* A WHERE clause can be added to a query to filter the results based on specified conditions.
* Option E: It returns the same rows as SELECT * FROM bricks CROSS JOIN colors.
* A comma-separated list of tables in a FROM clause is equivalent to a CROSS JOIN, resulting in a Cartesian product of the tables.
Options A, C, and D are incorrect because:
* Option A: You cannot add an ON clause without changing the comma-separated FROM clause to a proper JOIN.
* Option C: It returns the Cartesian product, not the sum, of the rows from BRICKS and COLORS.
* Option D: A USING clause is not applicable without changing the syntax to a proper JOIN.
NEW QUESTION # 69
Examine the structure of the PROGRAMS table:
Which two SQL statements would execute successfully? (Choose two.)
Answer: A,C
NEW QUESTION # 70
Which two are true about the data dictionary?
Answer: C,E
NEW QUESTION # 71
View the Exhibit and examine the ORDERS table.
The ORDERS table contains data and all orders have been assigned a customer ID.
Which statement would add a NOT NULL constraint to the CUSTOMER_ID column?
Answer: C
NEW QUESTION # 72
Which task can be performed by using a single Data Manipulation Language (DML) statement?
Answer: D
NEW QUESTION # 73
......
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