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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using SET Operators | - UNION, UNION ALL, INTERSECT, MINUS operators - Ordering results with set operations | |
| Topic 2: Using Subqueries to Solve Queries | - Single-row and multi-row subqueries - Correlated subqueries for update/delete | |
| Topic 3: Conversion Functions and Conditional Expressions | 10% | - TO_CHAR, TO_NUMBER, TO_DATE functions - NVL, NULLIF, COALESCE and CASE expressions - Implicit and explicit data type conversion |
| Topic 4: Using Data Dictionary Views | - Retrieve metadata and object information | |
| Topic 5: Manipulating Data and Managing Transactions | - Multi-table inserts - INSERT, UPDATE, DELETE, MERGE statements - Transaction control: COMMIT, ROLLBACK, SAVEPOINT | |
| Topic 6: Aggregating Data Using Group Functions | 10% | - GROUP BY and HAVING clauses - SUM, AVG, COUNT, MAX, MIN functions - Handling NULLs in group functions |
| Topic 7: Relational Database Concepts | 10% | - Theoretical and physical aspects of relational databases - Relationship between database and SQL - ERD and SQL statement mapping |
| Topic 8: Retrieving Data Using SQL SELECT Statement | 20% | - SELECT statement syntax and usage - Column aliases, concatenation, literals and DISTINCT - Arithmetic operations and NULL handling |
| Topic 9: Managing Indexes, Synonyms and Sequences | - Create and use sequences - Create and maintain indexes - Create and use synonyms | |
| Topic 10: Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Topic 11: Using Single-Row Functions to Customize Output | 20% | - Character, number, and date functions - Nested functions usage |
| Topic 12: Controlling User Access | - Roles, granting and revoking privileges - System and object privileges | |
| Topic 13: Restricting and Sorting Data | 15% | - Operator precedence - ORDER BY clause and sorting rules - WHERE clause and filtering conditions - Substitution variables, DEFINE and VERIFY commands |
| Topic 14: Managing Tables and Constraints | - Temporary and external tables - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables | |
| Topic 15: Displaying Data from Multiple Tables | 15% | - Equijoins and non-equijoins - Self-joins and outer joins - Cartesian products |
| Topic 16: Managing Views | - Create, modify and drop views - Updatable and read-only views |
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NEW QUESTION # 139
Examine the description of the PRODUCTS table:
Which three queries use valid expressions? (Choose three.)
Answer: B,E,F
NEW QUESTION # 140
View the Exhibit and examine the structure of the PROMOTIONS table.
Evaluate the following SQL statement:
Which statement is true regarding the outcome of the above query?
Answer: A
NEW QUESTION # 141
Examine this query:
SELECT TRUNC (ROUND(156.00,-2),-1) FROM DUAL; What is the result?
Answer: C
NEW QUESTION # 142
Examine the description of the BOOKS_TRANSACTIONS table:
Which two WHERE conditions give the same result?
Answer: A,C
Explanation:
The WHERE clause in SQL filters the rows returned by the SELECT statement. The result of logical operators and conditions can change significantly depending on the use of parentheses.
Options A and E both use parentheses to ensure that borrowed_date = SYSDATE is evaluated with transaction_type ='RM' as one group and the member_id conditions as another group. The parentheses ensure that both conditions within each set of parentheses must be true for the rows to be included.
Option B is incorrect because it does not use parentheses to enforce the grouping of conditions, leading to potentially different results due to the way logical OR works.
Option C is incorrect because it has a syntax error; it is missing a parenthesis.
Option D is incorrect because it will return rows where either borrowed_date = SYSDATE AND transaction_type ='RM' is true or member_id IN ('A101','A102') is true, which is a broader condition than what's specified in options A and E.
NEW QUESTION # 143
You want to display 5 percent of the rows from the SALEStable for products with the lowest AMOUNT_SOLDand also want to include the rows that have the same AMOUNT_SOLDeven if this causes the output to exceed 5 percent of the rows.
Which query will provide the required result?
SELECT prod_id, cust_id, amount_sold
Answer: A
Explanation:
Explanation/Reference:
NEW QUESTION # 144
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