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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Relational Database Concepts | 10% | - Relationship between database and SQL - Theoretical and physical aspects of relational databases - ERD and SQL statement mapping |
| Topic 3: Restricting and Sorting Data | 15% | - ORDER BY clause and sorting rules - WHERE clause and filtering conditions - Operator precedence - Substitution variables, DEFINE and VERIFY commands |
| Topic 4: Managing Views | - Updatable and read-only views - Create, modify and drop views | |
| Topic 5: Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Topic 6: Managing Indexes, Synonyms and Sequences | - Create and use synonyms - Create and use sequences - Create and maintain indexes | |
| Topic 7: Retrieving Data Using SQL SELECT Statement | 20% | - SELECT statement syntax and usage - Column aliases, concatenation, literals and DISTINCT - Arithmetic operations and NULL handling |
| Topic 8: Using Single-Row Functions to Customize Output | 20% | - Nested functions usage - Character, number, and date functions |
| Topic 9: Managing Tables and Constraints | - Temporary and external tables - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables | |
| Topic 10: Controlling User Access | - System and object privileges - Roles, granting and revoking privileges | |
| Topic 11: Using SET Operators | - Ordering results with set operations - UNION, UNION ALL, INTERSECT, MINUS operators | |
| Topic 12: Manipulating Data and Managing Transactions | - INSERT, UPDATE, DELETE, MERGE statements - Multi-table inserts - Transaction control: COMMIT, ROLLBACK, SAVEPOINT | |
| Topic 13: Using Data Dictionary Views | - Retrieve metadata and object information | |
| Topic 14: Aggregating Data Using Group Functions | 10% | - SUM, AVG, COUNT, MAX, MIN functions - GROUP BY and HAVING clauses - Handling NULLs in group functions |
| Topic 15: Using Subqueries to Solve Queries | - Single-row and multi-row subqueries - Correlated subqueries for update/delete | |
| Topic 16: Displaying Data from Multiple Tables | 15% | - Equijoins and non-equijoins - Self-joins and outer joins - Cartesian products |
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NEW QUESTION # 23
Examine the description of the PRODUCT_DETAILStable:
Which two statements are true? (Choose two.)
Answer: C,E
NEW QUESTION # 24
Which three items does a direction of a relationship contain?
Answer: A,B,C
Explanation:
In data modeling and database design, the direction of a relationship typically includes:
* Option B: a cardinality
* Cardinality refers to the numerical relationships between two entities, indicating the number of instances of one entity that can or must be associated with each instance of another.
* Option C: label
* A label is often used to describe the role or purpose of the relationship in a way that clarifies the nature of the interaction between entities.
* Option D: an optionality
* Optionality indicates whether or not a relationship is mandatory or optional; in other words, it shows if an instance of an entity must be related to an instance of another entity or if it can exist without such a relationship.
Options A, E, and F are not part of the direction of a relationship:
* Option A: An attribute is a property or characteristic of an entity, not the direction of a relationship.
* Option E: A unique identifier uniquely identifies each instance of an entity, not a relationship's direction.
* Option F: An entity is a thing with distinct and independent existence in a database, usually mapped to a table, not a part of the direction of a relationship.
NEW QUESTION # 25
Which two statements are true about the DUAL table?
Answer: B,E
NEW QUESTION # 26
View the Exhibit and examine the structure of the ORDERS table.
You must select ORDER_ID and ORDER_DATE for all orders that were placed after the last order placed by CUSTOMER_ID 101.
Which query would give you the desired result?
Answer: C
NEW QUESTION # 27
You are designing the structure of a table in which two columns have the specifications:
COMPONENT_ID- must be able to contain a maximum of 12 alphanumeric characters and must uniquely identify the row EXECUTION_DATETIME- contains Century, Year, Month, Day, Hour, Minute, Second to the maximum precision and is used for calculations and comparisons between components.
Which two options define the data types that satisfy these requirements most efficiently? (Choose two.)
Answer: A,D
NEW QUESTION # 28
......
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