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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using DDL Statements to Create and Manage Tables | 14% | - Review the table structure - Describe the data types that are available for columns - Categorize the main database objects - Drop, rename, and truncate tables - Create a simple table - Alter table definitions |
| Topic 2: Using Subqueries to Solve Queries | 15% | - Write single-row and multi-row subqueries - Define subqueries - Describe the types of problems that subqueries can solve - List the types of subqueries |
| Topic 3: Working with Oracle Database SQL | 8% | - Start up and shut down a database - Explain the installation of Oracle Database software - Describe the Oracle Database architecture - Create a container database |
| Topic 4: Using Set Operators | 5% | - Describe the order of precedence when the set operators are used - Use a set operator to combine multiple queries into a single query - Describe set operators |
| Topic 5: Manipulating Data | 14% | - Delete rows from a table - Control transactions - Describe each data manipulation language (DML) statement - Update rows in a table - Insert rows into a table |
| Topic 6: Creating Other Schema Objects | 10% | - Create synonyms for database objects - Create, modify, and retrieve data from a view - Create, maintain, and use sequences - Create and maintain indexes |
| Topic 7: Using Single-Row Functions to Customize Output | 10% | - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate dates with the date functions - Perform arithmetic with date data - Describe the differences between single-row and multiple-row functions - Manipulate numbers with the ROUND, TRUNC, and MOD functions |
| Topic 8: Controlling User Access | 5% | - Grant privileges on tables and on a view - Differentiate system privileges from object privileges - Distinguish between granting privileges and roles |
| Topic 9: Reporting Aggregated Data Using Group Functions | 15% | - Include or exclude grouped rows by using the HAVING clause - Describe the use of group functions - Identify the available group functions - Group data by using the GROUP BY clause |
| Topic 10: Restricting and Sorting Data | 6% | - Use ampersand substitution to restrict and sort output at runtime - Sort the rows that are retrieved by a query - Limit the rows that are retrieved by a query - Use DEFINE and UNDEFINE commands |
| Topic 11: Displaying Data from Multiple Tables Using Joins | 15% | - Write SELECT statements to access data from more than one table using equijoins and non-equijoins - View data that does not meet a join condition by using outer joins - Cross join tables - Join a table to itself by using a self-join |
| Topic 12: Using Conversion Functions and Conditional Expressions | 10% | - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - Apply the NVL, NULLIF, and COALESCE functions to data - Describe implicit and explicit data type conversion - Use conditional IF THEN ELSE logic in a SELECT statement |
| Topic 13: Retrieving Data Using the SQL SELECT Statement | 5% | - List the capabilities of SQL SELECT statements - Execute a basic SELECT statement - Differentiate between SQL statements and SQL*Plus commands |
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NEW QUESTION # 316
View the Exhibit and examine the structure of the PRODUCT_INFORMATION table. (Choose the best answer.)
PRODUCT_ID column is the primary key.
You create an index using this command:
SQL > CREATE INDEX upper_name_idx
ON product_information(UPPER(product_name));
No other indexes exist on the PRODUCT_INFORMATION table.
Which query would use the UPPER_NAME_IDX index?
Answer: C
NEW QUESTION # 317
View the Exhibit and examine the structure of the PRODUCT table.
Which two tasks would require subqueries? (Choose two.)
Answer: A,D
NEW QUESTION # 318
The SALES table has columns PROD_IDand QUANTITY_SOLDof data type NUMBER.
Which two queries execute successfully? (Choose two.)
Answer: C,E
NEW QUESTION # 319
Examine this list of queries:
Which two statements are true?
Answer: B,C
NEW QUESTION # 320
Examine the description of the PRODUCT_ DETAILS table:
Which two statements are true?
Answer: A,C
Explanation:
In reference to the attributes of the PRODUCT_DETAILS table:
A . This statement is false. If PRODUCT_PRICE has no value (i.e., it is NULL), it cannot be used directly in arithmetic expressions because any operation with NULL results in NULL.
B . This statement is true. PRODUCT_ID has the NOT NULL constraint and is of type NUMBER, making it eligible to be a PRIMARY KEY. Primary keys require all values to be unique and not null.
C . This statement is true. EXPIRY_DATE is of type DATE, and it cannot be used in arithmetic expressions directly without a date function that operates on dates.
D . This statement is false. By default, columns of type DATE do not have a default value unless explicitly assigned using the DEFAULT keyword in the column definition.
E . This statement is false. By default, numeric columns do not have a default value unless specified with the DEFAULT keyword.
F . This statement is false. The statement about PRODUCT_NAME not containing duplicate values would be true if it were a UNIQUE or PRIMARY KEY, but there is no such constraint indicated in the provided table description.
Reference:
Oracle Documentation on Data Types: https://docs.oracle.com/database/121/SQLRF/sql_elements001.htm#SQLRF00213 Oracle Documentation on Constraints: https://docs.oracle.com/database/121/SQLRF/clauses002.htm#SQLRF52271
NEW QUESTION # 321
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