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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Views | - Updatable and read-only views - Create, modify and drop views | |
| Topic 2: Relational Database Concepts | 10% | - ERD and SQL statement mapping - Relationship between database and SQL - Theoretical and physical aspects of relational databases |
| Topic 3: Using SET Operators | - UNION, UNION ALL, INTERSECT, MINUS operators - Ordering results with set operations | |
| Topic 4: Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Topic 5: Retrieving Data Using SQL SELECT Statement | 20% | - SELECT statement syntax and usage - Column aliases, concatenation, literals and DISTINCT - Arithmetic operations and NULL handling |
| Topic 6: Managing Tables and Constraints | - Data types, creating/altering/dropping tables - Temporary and external tables - Constraints: primary key, foreign key, unique, check, not null | |
| Topic 7: Aggregating Data Using Group Functions | 10% | - GROUP BY and HAVING clauses - Handling NULLs in group functions - SUM, AVG, COUNT, MAX, MIN functions |
| Topic 8: Displaying Data from Multiple Tables | 15% | - Self-joins and outer joins - Equijoins and non-equijoins - Cartesian products |
| Topic 9: Managing Indexes, Synonyms and Sequences | - Create and maintain indexes - Create and use synonyms - Create and use sequences | |
| Topic 10: Using Subqueries to Solve Queries | - Correlated subqueries for update/delete - Single-row and multi-row subqueries | |
| Topic 11: Manipulating Data and Managing Transactions | - Multi-table inserts - INSERT, UPDATE, DELETE, MERGE statements - Transaction control: COMMIT, ROLLBACK, SAVEPOINT | |
| Topic 12: Using Single-Row Functions to Customize Output | 20% | - Nested functions usage - Character, number, and date functions |
| Topic 13: 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 14: Restricting and Sorting Data | 15% | - Operator precedence - WHERE clause and filtering conditions - ORDER BY clause and sorting rules - Substitution variables, DEFINE and VERIFY commands |
| Topic 15: Using Data Dictionary Views | - Retrieve metadata and object information | |
| Topic 16: Controlling User Access | - Roles, granting and revoking privileges - System and object privileges |
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NEW QUESTION # 144
View the exhibit and examine the structure of the SALES, CUSTOMERS, PRODUCTSand TIMEStables.
The PROD_IDcolumn is the foreign key in the SALEStable, which references the PRODUCTStable.
Similarly, the CUST_IDand TIME_IDcolumns are also foreign keys in the SALEStable referencing the CUSTOMERSand TIMEStables, respectively.
Evaluate the following CREATE TABLEcommand:
CREATE TABLE new_sales (prod_id, cust_id, order_date DEFAULT SYSDATE)
AS
SELECT prod_id, cust_id, time_id
FROM sales;
Which statement is true regarding the above command?
Answer: C
NEW QUESTION # 145
Examine the description of the CUSTOMERS table:
You need to display last names and credit limits of all customers whose last name starts with A or B In lower or upper case, and whose credit limit is below 1000.
Examine this partial query:
SELECT cust_last_nare, cust_credit_limit FROM customers
Which two WHERE conditions give the required result?
Answer: C,E
Explanation:
The SQL query must find all customers with last names starting with A or B, regardless of case, and a credit limit below 1000:
* B. WHERE (INITCAP(cust_last_name) LIKE 'A%' OR INITCAP(cust_last_name) LIKE 'B%') AND cust_credit_limit < 1000: The INITCAP function initializes the first letter to uppercase for comparison. However, it should be noted that using INITCAP is not necessary when using the LIKE operator with a wildcard % following a single character, because it will not correctly filter all last names that start with an upper or lower case A or B.
* D. WHERE (UPPER(cust_last_name) LIKE 'A%' OR UPPER(cust_last_name) LIKE 'B%') AND cust_credit_limit < 1000: This correctly filters last names beginning with A or B in any case and includes only those with a credit limit below 1000. The UPPER function is used to convert cust_last_name to uppercase before comparison.
References:
* Oracle Database SQL Language Reference 12c, especially sections on string functions and conditions.
NEW QUESTION # 146
Examine the structure of the MEMBERStable:
Name Null? Type
------------------ --------------- ------------------------------
MEMBER_ID NOT NULL VARCHAR2 (6)
FIRST_NAME VARCHAR2 (50)
LAST_NAME NOT NULL VARCHAR2 (50)
ADDRESS VARCHAR2 (50)
You execute the SQL statement:
SQL > SELECT member_id, ' ' , first_name, ' ' , last_name "ID FIRSTNAME LASTNAME
" FROM members;
What is the outcome?
Answer: C
NEW QUESTION # 147
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: B,D
NEW QUESTION # 148
Examine the description of the CUSTOMERS table:
You need to display last names and credit limits of all customers whose last name starts with A or B in lower or upper case, and whose credit limit is below 1000.
Examine this partial query:
Which two WHERE conditions give the required result?
Answer: B,D
NEW QUESTION # 149
......
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