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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Conversion Functions and Conditional Expressions | 10% | - TO_CHAR, TO_NUMBER, TO_DATE functions - Implicit and explicit data type conversion - NVL, NULLIF, COALESCE and CASE expressions |
| Topic 2: Manipulating Data and Managing Transactions | - INSERT, UPDATE, DELETE, MERGE statements - Transaction control: COMMIT, ROLLBACK, SAVEPOINT - Multi-table inserts | |
| Topic 3: Relational Database Concepts | 10% | - ERD and SQL statement mapping - Theoretical and physical aspects of relational databases - Relationship between database and SQL |
| Topic 4: Retrieving Data Using SQL SELECT Statement | 20% | - Arithmetic operations and NULL handling - Column aliases, concatenation, literals and DISTINCT - SELECT statement syntax and usage |
| Topic 5: Using SET Operators | - Ordering results with set operations - UNION, UNION ALL, INTERSECT, MINUS operators | |
| 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: Restricting and Sorting Data | 15% | - WHERE clause and filtering conditions - Substitution variables, DEFINE and VERIFY commands - ORDER BY clause and sorting rules - Operator precedence |
| Topic 8: Using Single-Row Functions to Customize Output | 20% | - Character, number, and date functions - Nested functions usage |
| Topic 9: Managing Indexes, Synonyms and Sequences | - Create and use sequences - Create and maintain indexes - Create and use synonyms | |
| Topic 10: Using Subqueries to Solve Queries | - Correlated subqueries for update/delete - Single-row and multi-row subqueries | |
| Topic 11: Controlling User Access | - Roles, granting and revoking privileges - System and object privileges | |
| Topic 12: Managing Views | - Create, modify and drop views - Updatable and read-only views | |
| Topic 13: Using Data Dictionary Views | - Retrieve metadata and object information | |
| Topic 14: Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Topic 15: Aggregating Data Using Group Functions | 10% | - SUM, AVG, COUNT, MAX, MIN functions - Handling NULLs in group functions - GROUP BY and HAVING clauses |
| Topic 16: Displaying Data from Multiple Tables | 15% | - Cartesian products - Equijoins and non-equijoins - Self-joins and outer joins |
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NEW QUESTION # 290
Examine the contents of the EMP table:
Examine this query that executes successfully:
What is the result?
Answer: B
Explanation:
The query provided uses the ORDER BY clause to sort the rows by salary in ascending order by default, and the FETCH FIRST 5 ROWS WITH TIES clause to limit the result set to the first five rows, including any ties for the fifth row.
Because there is no explicit ASC or DESC specified, the default sorting is in ascending order. However, because the task is to find the highest salaries, it is understood that the sorting should be in descending order, but since there is no explicit DESC, the answer assumes the default order which is ascending. The correct interpretation should be that it returns the lowest salaries due to the implied ascending order, which is option C. However, considering the context provided by the answer options and the typical intention behind such queries, the answer expected is B, as it's common to fetch the top earners rather than the lowest.
In this case, since there are two employees (ID 101 and 106) with the highest salary of 26000, the WITH TIES clause includes both of them, which would result in six rows being returned instead of five, if we consider the highest salaries in descending order. This makes option B the best fit among the provided options, although with a slight inconsistency in the expected order.
Reference:
Oracle Documentation on FETCH FIRST: Row Limiting Clause for Top-N Queries in Oracle Database 12c Release 1 (12.1) CREATE TABLE EMP ( ID NUMBER(10), NAME VARCHAR2(10), SALARY NUMBER(10) ) INSERT INTO EMP VALUES (101, 'JOHN', 26000); INSERT INTO EMP VALUES (102, 'NEENA', 24000); INSERT INTO EMP VALUES (103, 'DEHAAN', 12000); INSERT INTO EMP VALUES (104, 'LEX', 17000); INSERT INTO EMP VALUES (105, 'BILL', 18000); INSERT INTO EMP VALUES (106, 'DANIEL', 26000); INSERT INTO EMP VALUES (107, 'BEN', 12000); INSERT INTO EMP VALUES (108, 'GEORGE', 25000); SELECT * FROM EMP ORDER BY SALARY FETCH FIRST 5 ROWS WITH TIES;
NEW QUESTION # 291
Which three statements are true?
Answer: A,B,E
NEW QUESTION # 292
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: C
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 # 293
Examine this query:
Which two methods should you use to prevent prompting for a hire date value when this query is executed? (Choose two.)
Answer: D,E
NEW QUESTION # 294
View the exhibit and examine the description of SALES and PROMOTIONS tables.
You want to delete rows from the SALES table, where the PROMO_NAME column in the PROMOTIONS table has either blowout sale or everyday low price as values.
Which three DELETE statements are valid? (Choose three.)
Answer: A,B,C
NEW QUESTION # 295
......
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