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| Section | Weight | Objectives |
|---|---|---|
| Conversion Functions and Conditional Expressions | 10% | - Implicit and explicit data type conversion - NVL, NULLIF, COALESCE and CASE expressions - TO_CHAR, TO_NUMBER, TO_DATE functions |
| Controlling User Access | - Roles, granting and revoking privileges - System and object privileges | |
| Using Subqueries to Solve Queries | - Single-row and multi-row subqueries - Correlated subqueries for update/delete | |
| Managing Indexes, Synonyms and Sequences | - Create and use synonyms - Create and maintain indexes - Create and use sequences | |
| Using Data Dictionary Views | - Retrieve metadata and object information | |
| Relational Database Concepts | 10% | - Theoretical and physical aspects of relational databases - Relationship between database and SQL - ERD and SQL statement mapping |
| Manipulating Data and Managing Transactions | - INSERT, UPDATE, DELETE, MERGE statements - Transaction control: COMMIT, ROLLBACK, SAVEPOINT - Multi-table inserts | |
| Aggregating Data Using Group Functions | 10% | - GROUP BY and HAVING clauses - SUM, AVG, COUNT, MAX, MIN functions - Handling NULLs in group functions |
| Managing Views | - Updatable and read-only views - Create, modify and drop views | |
| Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Displaying Data from Multiple Tables | 15% | - Cartesian products - Self-joins and outer joins - Equijoins and non-equijoins |
| Using Single-Row Functions to Customize Output | 20% | - Nested functions usage - Character, number, and date functions |
| Using SET Operators | - UNION, UNION ALL, INTERSECT, MINUS operators - Ordering results with set operations | |
| Managing Tables and Constraints | - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables - Temporary and external tables | |
| Restricting and Sorting Data | 15% | - Substitution variables, DEFINE and VERIFY commands - Operator precedence - ORDER BY clause and sorting rules - WHERE clause and filtering conditions |
| Retrieving Data Using SQL SELECT Statement | 20% | - SELECT statement syntax and usage - Column aliases, concatenation, literals and DISTINCT - Arithmetic operations and NULL handling |
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NEW QUESTION # 80
Which statement is true about TRUNCATE and DELETE?
Answer: C
Explanation:
A: True. TRUNCATE is generally faster than DELETE for removing all rows from a table because TRUNCATE is a DDL (Data Definition Language) operation that minimally logs the action and does not generate rollback information. TRUNCATE drops and re-creates the table, which is much quicker than deleting rows one by one as DELETE does, especially for large tables. Also, TRUNCATE does not fire triggers.
References:
* Oracle documentation specifies that TRUNCATE is faster because it doesn't generate redo logs for each row as DELETE would.
* TRUNCATE cannot be rolled back once executed, since it is a DDL command and does not generate rollback information as DML commands do.
NEW QUESTION # 81
Examine the data in the EMPLOYEES table:
Which statement will compute the total annual compensation for each employee?
Answer: B
NEW QUESTION # 82
Examine the structure proposed for the TRANSACTIONS table:
Which two statements are true regarding the storage of data in the above table structure? (Choose two.)
Answer: A,C
NEW QUESTION # 83
See the Exhibit and examine the structure of the PROMOTIONS table:
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:
What would be the outcome?
Answer: A
Explanation:
Explanation/Reference:
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 # 84
View the exhibit and examine the structure of the PROMOTIONS table.
You have to generate a report that displays the promo name and start date for all promos that started after the last promo in the 'INTERNET' category.
Which query would give you the required output?
Answer: B
NEW QUESTION # 85
......
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