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| Section | Weight | Objectives |
|---|---|---|
| Controlling User Access | - System and object privileges - Roles, granting and revoking privileges | |
| Aggregating Data Using Group Functions | 10% | - Handling NULLs in group functions - SUM, AVG, COUNT, MAX, MIN functions - GROUP BY and HAVING clauses |
| Managing Indexes, Synonyms and Sequences | - Create and use sequences - Create and use synonyms - Create and maintain indexes | |
| Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Managing Views | - Create, modify and drop views - Updatable and read-only views | |
| Using Single-Row Functions to Customize Output | 20% | - Character, number, and date functions - Nested functions usage |
| Using Subqueries to Solve Queries | - Single-row and multi-row subqueries - Correlated subqueries for update/delete | |
| Conversion Functions and Conditional Expressions | 10% | - NVL, NULLIF, COALESCE and CASE expressions - TO_CHAR, TO_NUMBER, TO_DATE functions - Implicit and explicit data type conversion |
| Displaying Data from Multiple Tables | 15% | - Cartesian products - Equijoins and non-equijoins - Self-joins and outer joins |
| Restricting and Sorting Data | 15% | - Substitution variables, DEFINE and VERIFY commands - WHERE clause and filtering conditions - ORDER BY clause and sorting rules - Operator precedence |
| Manipulating Data and Managing Transactions | - Transaction control: COMMIT, ROLLBACK, SAVEPOINT - Multi-table inserts - INSERT, UPDATE, DELETE, MERGE statements | |
| 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 |
| Managing Tables and Constraints | - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables - Temporary and external tables | |
| Retrieving Data Using SQL SELECT Statement | 20% | - Column aliases, concatenation, literals and DISTINCT - Arithmetic operations and NULL handling - SELECT statement syntax and usage |
| Using SET Operators | - UNION, UNION ALL, INTERSECT, MINUS operators - Ordering results with set operations |
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NEW QUESTION # 108
Examine the structure of the DEPARTMENTS table.
You execute the following command:
Which two statements are true?
Answer: A,C
NEW QUESTION # 109
Evaluate the following two queries:
Which statement is true regarding the above two queries?
Answer: C
NEW QUESTION # 110
Which three are true about privileges and roles? (Choose three.)
Answer: B,C,E
Explanation:
https://docs.oracle.com/cd/B19306_01/network.102/b14266/authoriz.htm#i1010570
NEW QUESTION # 111
Which task can be performed by using a single Data Manipulation Language (DML) statement?
Answer: C
NEW QUESTION # 112
Examine the description of the PRODUCTS table:
Which three queries use valid expressions?
Answer: C,D,E
Explanation:
B . SELECT product_id, (unit_price * 0.15 / (4.75 + 552.25)) FROM products; C. SELECT product_id, (expiry_date - delivery_date) * 2 FROM products; E. SELECT product_id, unit_price, unit_price + surcharge FROM products; Comprehensive and Detailed Explanation WITH all Reference:
A . This is invalid because "Discount" is a string literal and cannot be used without quotes in an arithmetic operation. Also, there is a typo in unit_pricer, and 'discount' is not a defined column in the table. B. This is valid. It shows a mathematical calculation with unit_price, which is of NUMBER type. Division and multiplication are valid operations on numbers. C. This is valid. The difference between two DATE values results in the number of days between them, and multiplying this value by a number is a valid operation. D. This is invalid because expiry_date is of DATE type and cannot be multiplied by a number. Also, there's a typo: "SPLECT" should be "SELECT". E. This is valid. Both unit_price and surcharge are NUMBER types, and adding them together is a valid operation. F. This is invalid because concatenation operator || is used between a number (unit_price) and a string literal "Discount", which is not enclosed in single quotes, and 'discount' is not a defined column in the table.
In SQL, arithmetic operations on numbers and date arithmetic are valid expressions. Concatenation is also a valid expression when used correctly between string values or literals. Operations that involve date types should not include multiplication or division by numbers directly without a proper interval type in Oracle SQL.
These rules are detailed in the Oracle Database SQL Language Reference, where expressions, datatype precedence, and operations are defined.
NEW QUESTION # 113
......
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