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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Retrieving Data Using SQL SELECT Statement | 20% | - Column aliases, concatenation, literals and DISTINCT - SELECT statement syntax and usage - Arithmetic operations and NULL handling |
| Topic 2: Using Subqueries to Solve Queries | - Correlated subqueries for update/delete - Single-row and multi-row subqueries | |
| Topic 3: Using SET Operators | - UNION, UNION ALL, INTERSECT, MINUS operators - Ordering results with set operations | |
| Topic 4: Manipulating Data and Managing Transactions | - Transaction control: COMMIT, ROLLBACK, SAVEPOINT - INSERT, UPDATE, DELETE, MERGE statements - Multi-table inserts | |
| Topic 5: Managing Tables and Constraints | - Temporary and external tables - Data types, creating/altering/dropping tables - Constraints: primary key, foreign key, unique, check, not null | |
| Topic 6: Managing Views | - Create, modify and drop views - Updatable and read-only views | |
| Topic 7: Managing Indexes, Synonyms and Sequences | - Create and use sequences - Create and use synonyms - Create and maintain indexes | |
| Topic 8: Relational Database Concepts | 10% | - Theoretical and physical aspects of relational databases - Relationship between database and SQL - ERD and SQL statement mapping |
| Topic 9: Conversion Functions and Conditional Expressions | 10% | - Implicit and explicit data type conversion - TO_CHAR, TO_NUMBER, TO_DATE functions - NVL, NULLIF, COALESCE and CASE expressions |
| Topic 10: Working with Time Zones and Date/Time Data | - TIMESTAMP, INTERVAL data types - Time zone conversion functions | |
| Topic 11: Using Single-Row Functions to Customize Output | 20% | - Character, number, and date functions - Nested functions usage |
| Topic 12: Controlling User Access | - System and object privileges - Roles, granting and revoking privileges | |
| Topic 13: Displaying Data from Multiple Tables | 15% | - Cartesian products - Equijoins and non-equijoins - Self-joins and outer joins |
| Topic 14: Using Data Dictionary Views | - Retrieve metadata and object information | |
| Topic 15: Restricting and Sorting Data | 15% | - ORDER BY clause and sorting rules - WHERE clause and filtering conditions - Substitution variables, DEFINE and VERIFY commands - Operator precedence |
| Topic 16: Aggregating Data Using Group Functions | 10% | - SUM, AVG, COUNT, MAX, MIN functions - GROUP BY and HAVING clauses - Handling NULLs in group functions |
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NEW QUESTION # 248
Examine the description of the CUSTONERS table:
CUSTNO is the PRIMARY KEY.
You must determine if any customers' details have been entered more than once using a different CUSTNO, by listing all duplicate names.
Which two methods can you use to get the required result?
Answer: B,E
NEW QUESTION # 249
You need to display the first names of all customers from the CUSTOMERStable that contain the character 'e' and have the character 'a' in the second last position.
Which query would give the required output?
SELECT cust_first_name
Answer: A
NEW QUESTION # 250
View the Exhibit and examine the details of the PRODUCT_INFORMATION table.
Evaluate this SQL statement:
SELECT TO_CHAR (list_price, '$9,999')
From product_information;
Which two statements are true regarding the output? (Choose two.)
Answer: A,D
NEW QUESTION # 251
The CUSTOMERS table has a CUST_CREDT_LIMIT column of data type number.
Which two queries execute successfully?
Answer: C,E
Explanation:
A). True - The TO_CHAR function is used correctly here to convert the numeric value to a string, and NVL handles the case where cust_credit_limit might be NULL. The expression inside NVL computes 15% of the credit limit or displays 'Not Available' if the credit limit is NULL. The syntax is correct.
B). False - The NVL2 function requires three parameters: the expression to check for NULL, the value to return if it's not NULL, and the value to return if it is NULL. The given usage lacks the required parameters and syntax.
C). False - The NVL function expects both parameters to be of the same data type. Since the second parameter
'Not Available' is a string, it causes a data type conflict with the numerical result of the first parameter.
D). False - The keyword SELECT is misspelled as SLECT, making the syntax incorrect.
E). True - This query uses NVL2 correctly by checking if cust_credit_limit is not NULL, then applying TO_CHAR to compute 15% of it and converting it to string, or returning 'NOT Available' if it is NULL. The syntax and function usage are correct.
NEW QUESTION # 252
View the Exhibit and examine the description of the EMPLOYEES table.
You want to calculate the total renumeration for each employee. Total renumeration is the sum of the annual salary and the percentage commission earned for a year. Only a few employees earn commission.
Which SQL statement would you execute to get the desired output?
Answer: D
NEW QUESTION # 253
......
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