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| Section | Weight | Objectives |
|---|---|---|
| Using Subqueries to Solve Queries | 15% | - List the types of subqueries - Describe the types of problems that subqueries can solve - Write single-row and multi-row subqueries - Define subqueries |
| Retrieving Data Using the SQL SELECT Statement | 5% | - Differentiate between SQL statements and SQL*Plus commands - Execute a basic SELECT statement - List the capabilities of SQL SELECT statements |
| Manipulating Data | 14% | - Update rows in a table - Insert rows into a table - Control transactions - Delete rows from a table - Describe each data manipulation language (DML) statement |
| Using DDL Statements to Create and Manage Tables | 14% | - Describe the data types that are available for columns - Review the table structure - Drop, rename, and truncate tables - Alter table definitions - Create a simple table - Categorize the main database objects |
| Reporting Aggregated Data Using Group Functions | 15% | - Identify the available group functions - Group data by using the GROUP BY clause - Describe the use of group functions - Include or exclude grouped rows by using the HAVING clause |
| Restricting and Sorting Data | 6% | - Use ampersand substitution to restrict and sort output at runtime - Use DEFINE and UNDEFINE commands - Limit the rows that are retrieved by a query - Sort the rows that are retrieved by a query |
| Controlling User Access | 5% | - Differentiate system privileges from object privileges - Grant privileges on tables and on a view - Distinguish between granting privileges and roles |
| Working with Oracle Database SQL | 8% | - Describe the Oracle Database architecture - Start up and shut down a database - Create a container database - Explain the installation of Oracle Database software |
| Using Single-Row Functions to Customize Output | 10% | - Describe the differences between single-row and multiple-row functions - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Manipulate strings with character function in the SELECT and WHERE clauses - Perform arithmetic with date data - Manipulate dates with the date functions |
| Creating Other Schema Objects | 10% | - Create, maintain, and use sequences - Create synonyms for database objects - Create and maintain indexes - Create, modify, and retrieve data from a view |
| Using Conversion Functions and Conditional Expressions | 10% | - Apply the NVL, NULLIF, and COALESCE functions to data - Use conditional IF THEN ELSE logic in a SELECT statement - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - Describe implicit and explicit data type conversion |
| Displaying Data from Multiple Tables Using Joins | 15% | - View data that does not meet a join condition by using outer joins - Write SELECT statements to access data from more than one table using equijoins and non-equijoins - Cross join tables - Join a table to itself by using a self-join |
| Using Set Operators | 5% | - Use a set operator to combine multiple queries into a single query - Describe the order of precedence when the set operators are used - Describe set operators |
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282. Frage
You issued this command: DROP TABLE hr. employees;
Which three statements are true?
Antwort: A,B,F
283. Frage
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.)
Antwort: C,D
284. Frage
You want to display the date for the first Monday of the next month and issue the following command:
What is the outcome?
Antwort: D
285. Frage
Examine the description products table:
Examine the description of the new_projects table;
Which two queries execute successfully?





Antwort: D,E
Begründung:
To determine which queries will execute successfully, we need to consider the compatibility of the column definitions and the structure of the SELECT statements:
* Option A uses the MINUS set operator, which subtracts rows returned by the second SELECT statement from the rows returned by the first. For MINUS to work, the number and the order of columns and their data types must be the same in both queries. This query will not execute successfully because the second SELECT statement does not include all columns from the first SELECT statement, and the data types and sizes of PROD_ID do not match (CHAR(2) vs CHAR(4)).
* Option B uses the UNION ALL set operator, which appends the results of the second SELECT statement to the results of the first. Unlike UNION, UNION ALL does not eliminate duplicate rows.
This query will execute successfully because UNION ALL does not require the same data types or sizes, and the result will contain all columns from the first SELECT statement filled with NULL for non-matching columns from the second SELECT statement.
* Option C uses the UNION set operator, which requires the same number of columns and compatible data types. This query will not execute successfully because PROD_NAME has different data types (CHAR(4) vs VARCHAR2(10)), and the result of a UNION must have the same number of columns with compatible data types in the two SELECT statements.
* Option D uses the UNION set operator as well, but unlike Option C, it does not require a specific data type match because both SELECT statements include all columns and UNION is used (which will automatically handle type conversion where necessary). This query will execute successfully.
* Option E uses the INTERSECT set operator, which requires the same number and order of columns and their data types to be identical or compatible. This query will not execute successfully because the data types and sizes of PROD_ID do not match (CHAR(2) vs CHAR(4)).
References:
* Oracle Documentation on Set Operators: SQL Language Reference - Set Operators
* Oracle Documentation on Data Type Precedence: SQL Language Reference - Data Type Precedence In conclusion, only Option B and Option D will execute successfully because they adhere to the rules of the UNION ALL and UNION operators respectively, regarding column count and data type compatibility.
286. Frage
Examine the description of the CUSTOMERS table:
CUSTNO is the PRIMARY KEY.
You must determine if any customers' details have been entered more than once using a different CUSTNO, by listing all duplicate names.
Which two methods can you use to get the required result?
Antwort: B,D
287. Frage
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