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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Aggregating Data Using Group Functions | 10% | - Handling NULLs in group functions - GROUP BY and HAVING clauses - SUM, AVG, COUNT, MAX, MIN functions |
| Topic 2: Managing Indexes, Synonyms and Sequences | - Create and use sequences - Create and use synonyms - Create and maintain indexes | |
| Topic 3: Restricting and Sorting Data | 15% | - Substitution variables, DEFINE and VERIFY commands - WHERE clause and filtering conditions - Operator precedence - ORDER BY clause and sorting rules |
| Topic 4: Managing Views | - Create, modify and drop views - Updatable and read-only views | |
| Topic 5: Using Single-Row Functions to Customize Output | 20% | - Nested functions usage - Character, number, and date functions |
| Topic 6: Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Topic 7: Using SET Operators | - UNION, UNION ALL, INTERSECT, MINUS operators - Ordering results with set operations | |
| Topic 8: Retrieving Data Using SQL SELECT Statement | 20% | - SELECT statement syntax and usage - Arithmetic operations and NULL handling - Column aliases, concatenation, literals and DISTINCT |
| Topic 9: Manipulating Data and Managing Transactions | - Multi-table inserts - INSERT, UPDATE, DELETE, MERGE statements - Transaction control: COMMIT, ROLLBACK, SAVEPOINT | |
| Topic 10: Controlling User Access | - System and object privileges - Roles, granting and revoking privileges | |
| Topic 11: Managing Tables and Constraints | - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables - Temporary and external tables | |
| Topic 12: Relational Database Concepts | 10% | - ERD and SQL statement mapping - Theoretical and physical aspects of relational databases - Relationship between database and SQL |
| Topic 13: Conversion Functions and Conditional Expressions | 10% | - NVL, NULLIF, COALESCE and CASE expressions - Implicit and explicit data type conversion - TO_CHAR, TO_NUMBER, TO_DATE functions |
| Topic 14: Displaying Data from Multiple Tables | 15% | - Equijoins and non-equijoins - Self-joins and outer joins - Cartesian products |
| Topic 15: Using Subqueries to Solve Queries | - Correlated subqueries for update/delete - Single-row and multi-row subqueries | |
| Topic 16: Using Data Dictionary Views | - Retrieve metadata and object information |
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NEW QUESTION # 114
View the exhibit and examine the data in the PROJ_TASK_DETAILS table. (Choose the best answer.)
The PROJ_TASK_DETAILS table stores information about project tasks and the relation between them.
The BASED_ON column indicates dependencies between tasks.
Some tasks do not depend on the completion of other tasks.
You must generate a report listing all task IDs, the task ID of any task upon which it depends and the name of the employee in charge of the task upon which it depends.
Which query would give the required result?
Answer: B
NEW QUESTION # 115
Examine the structure proposed for the TRANSACTIONS table:
Which two statements are true regarding the creation and storage of data in the above table structure? (Choose two.)
Answer: C,D
NEW QUESTION # 116
Which two statements are true about single row functions?
Answer: D,E
NEW QUESTION # 117
Whith three statements are true about built in data types?
Answer: A,B,D
NEW QUESTION # 118
You execute this command:
ALTER TABLE employees SET UNUSED (department_id);
Which two are true?
Answer: A,C
Explanation:
D). True, after setting the DEPARTMENT_ID column to UNUSED, you can add a new column with the name DEPARTMENT_ID to the EMPLOYEES table. The UNUSED clause does not delete the column, it only marks it as no longer being used.E. True, once a column is marked as UNUSED, you cannot make updates to it. It becomes inaccessible for DML operations.
A, B, C, and F are not correct because: A. Once a column is set to UNUSED, it is not available for queries. B.
The storage space is not immediately released after issuing a COMMIT; instead, the actual removal and space reclamation happen when you subsequently issue the DROP UNUSED COLUMNS operation. C. The DEPARTMENT_ID column is not set to null; instead, it's marked as UNUSED, which means it is no longer available for use. F. UNUSED columns are not placed into the recycle bin; they are just marked for deletion, and space can be reclaimed with the DROP UNUSED COLUMNS command.
References:
* Oracle documentation on ALTER TABLE: Oracle Database SQL Language Reference
* Understanding ALTER TABLE SET UNUSED: Oracle Database Administrator's Guide
NEW QUESTION # 119
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