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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Conversion Functions and Conditional Expressions | 10% | - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - 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 |
| Topic 2: Using DDL Statements to Create and Manage Tables | 14% | - Categorize the main database objects - Review the table structure - Drop, rename, and truncate tables - Create a simple table - Describe the data types that are available for columns - Alter table definitions |
| Topic 3: Using Set Operators | 5% | - Describe set operators - Describe the order of precedence when the set operators are used - Use a set operator to combine multiple queries into a single query |
| Topic 4: Working with Oracle Database SQL | 8% | - Describe the Oracle Database architecture - Start up and shut down a database - Create a container database - Explain the installation of Oracle Database software |
| Topic 5: Manipulating Data | 14% | - Update rows in a table - Delete rows from a table - Insert rows into a table - Describe each data manipulation language (DML) statement - Control transactions |
| Topic 6: Using Subqueries to Solve Queries | 15% | - List the types of subqueries - Define subqueries - Write single-row and multi-row subqueries - Describe the types of problems that subqueries can solve |
| Topic 7: 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 8: Restricting and Sorting Data | 6% | - 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 - Use DEFINE and UNDEFINE commands |
| Topic 9: Using Single-Row Functions to Customize Output | 10% | - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate dates with the date functions - Describe the differences between single-row and multiple-row functions - Perform arithmetic with date data - Manipulate numbers with the ROUND, TRUNC, and MOD functions |
| Topic 10: 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 11: Displaying Data from Multiple Tables Using Joins | 15% | - View data that does not meet a join condition by using outer joins - 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 |
| Topic 12: Reporting Aggregated Data Using Group Functions | 15% | - Include or exclude grouped rows by using the HAVING clause - Describe the use of group functions - Identify the available group functions - Group data by using the GROUP BY clause |
| Topic 13: Creating Other Schema Objects | 10% | - Create synonyms for database objects - Create and maintain indexes - Create, modify, and retrieve data from a view - Create, maintain, and use sequences |
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NEW QUESTION # 338
Examine the description of the PRODUCTS table:
Which two statements execute without errors?
Answer: A,D
NEW QUESTION # 339
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 pro motion time interval.
Examine this SQL statement:
SELECT prod id
FROM costs
WHERE promo id IN
(SELECT promo id
FROM promotions
WHERE promo_cost < ALL
(SELECT MAX (promo cost)
FROM promotions
GROUP BY (promo_end date-promo_begin_date)) );
What will be the result?
Answer: D
Explanation:
This SQL query checks for product IDs (prod_id) from the costs table where the promotion ID (promo_id) is associated with promotions whose costs are less than the maximum promotional cost of all promotions, grouped by the duration of each promotion (calculated as promo_end_date - promo_begin_date). The query is correctly written to fulfill these conditions.
* The subquery SELECT MAX(promo_cost) FROM promotions GROUP BY (promo_end_date - promo_begin_date) computes the maximum cost of promotions grouped by their duration, returning the highest cost for each distinct promotion length.
* The WHERE promo_cost < ALL (...) clause then filters out the promotions where the promo_cost is less than all of the maximum costs returned by the subquery, ensuring that only promo_ids associated with costs less than the highest cost for any promotion length are considered.
* Since this logical structure correctly implements the given requirement, the statement executes successfully and yields the correct results.
NEW QUESTION # 340
See the Exhibit and examine the structure of the PROMOTIONS table: Exhibit:
Using the PROMOTIONS table, you need to find out the average cost for all promos in the
range $0-2000 and $2000-5000 in category A.
You issue the following SQL statements:
Exhibit:
What would be the outcome?
Answer: B
Explanation:
CASE Expression Facilitates conditional inquiries by doing the work of an IF-THEN-ELSE statement: CASE expr WHEN comparison_expr1 THEN return_expr1 [WHEN comparison_expr2 THEN return_expr2 WHEN comparison_exprn THEN return_exprn ELSE else_expr] END
NEW QUESTION # 341
Examine this SQL statement:
Which two are true? (Choose two.)
Answer: C,D
NEW QUESTION # 342
Which statement adds a column called SALARYto the EMPLOYEEStable having 100 rows, which cannot contain null?
Answer: B
NEW QUESTION # 343
......
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