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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: 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 |
| Topic 3: Creating Other Schema Objects | 10% | - Create and maintain indexes - Create synonyms for database objects - Create, modify, and retrieve data from a view - Create, maintain, and use sequences |
| Topic 4: Working with Oracle Database SQL | 8% | - Create a container database - Describe the Oracle Database architecture - Explain the installation of Oracle Database software - Start up and shut down a database |
| Topic 5: Using Single-Row Functions to Customize Output | 10% | - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Describe the differences between single-row and multiple-row functions - Perform arithmetic with date data - Manipulate dates with the date functions |
| Topic 6: Using DDL Statements to Create and Manage Tables | 14% | - Describe the data types that are available for columns - Alter table definitions - Drop, rename, and truncate tables - Categorize the main database objects - Create a simple table - Review the table structure |
| Topic 7: Using Subqueries to Solve Queries | 15% | - Write single-row and multi-row subqueries - List the types of subqueries - Describe the types of problems that subqueries can solve - Define subqueries |
| Topic 8: Restricting and Sorting Data | 6% | - Limit the rows that are retrieved by a query - Sort the rows that are retrieved by a query - Use ampersand substitution to restrict and sort output at runtime - Use DEFINE and UNDEFINE commands |
| Topic 9: Manipulating Data | 14% | - Describe each data manipulation language (DML) statement - Delete rows from a table - Control transactions - Insert rows into a table - Update rows in a table |
| Topic 10: Using Conversion Functions and Conditional Expressions | 10% | - Describe implicit and explicit data type conversion - Apply the NVL, NULLIF, and COALESCE functions to data - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - Use conditional IF THEN ELSE logic in a SELECT statement |
| Topic 11: Controlling User Access | 5% | - Differentiate system privileges from object privileges - Distinguish between granting privileges and roles - Grant privileges on tables and on a view |
| Topic 12: Displaying Data from Multiple Tables Using Joins | 15% | - View data that does not meet a join condition by using outer joins - Cross join tables - Join a table to itself by using a self-join - Write SELECT statements to access data from more than one table using equijoins and non-equijoins |
| Topic 13: Retrieving Data Using the SQL SELECT Statement | 5% | - Execute a basic SELECT statement - List the capabilities of SQL SELECT statements - Differentiate between SQL statements and SQL*Plus commands |
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NEW QUESTION # 81
The ORDERS table has a column ORDER_DATE of date type DATE The default display format for a date is DD-MON-RR Which two WHERE conditions demonstrate the correct usage of conversion functions?
Answer: C,E
NEW QUESTION # 82
Which two will execute successfully?
Answer: D
Explanation:
D). True. The NVL function can replace a NULL value with a specified value, and it does not require the data types to match exactly, allowing implicit conversion where possible. Here, 'DATE' is a string literal, and 200 is a number, and since the selected column is NULL, NVL will return 200.
The other options are incorrect because the COALESCE function requires all arguments to be of the same data type or at least compatible types that Oracle can implicitly convert. In A and E, the use of COALESCE with a string literal 'DATE' and SYSDATE (which is a date type) is not compatible without explicit conversion. Option C has a typo (TRCH instead of FROM) and is mixing data types incorrectly.
NEW QUESTION # 83
Examine the data in the ORD_ITEMS table:
Evaluate this query:
Which statement is true regarding the result?
Answer: D
NEW QUESTION # 84
Examine the description of the ORDER_ITEMS table:
Examine this incomplete query:
SELECT DISTINCT quantity * unit_price total_paid FROM order_items ORDER BY <clause>; Which two can replace <clause> so the query completes successfully?
Answer: B,D
NEW QUESTION # 85
View the exhibit and examine the data in the PROJ_TASK_DETAILS table. (Choose the best answer.) The PROJ_TASK_DETAILS table stores information about project tasks and the relation between them.
The BASED_ON column indicates dependencies between tasks.
Some tasks do not depend on the completion of other tasks.
You must generate a report listing all task IDs, the task ID of any task upon which it depends and the name of the employee in charge of the task upon which it depends.
Which query would give the required result?
Answer: B
NEW QUESTION # 86
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