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| Section | Objectives |
|---|---|
| Topic 1: SQL Retrieval | - SELECT statements and filtering data
|
| Topic 2: Subqueries and Advanced SQL | - Correlated subqueries and nested queries - Single-row and multi-row subqueries |
| Topic 3: SQL Functions | - Single-row functions
|
| Topic 4: Relational Database Concepts | - Tables, rows, columns, and relational model basics - Data types and database objects overview |
| Topic 5: Data Manipulation and Schema Objects | - DML operations
|
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NEW QUESTION # 265
Evaluate the following SQL statement:
Which statement is true regarding the outcome of the above query?
Answer: C
NEW QUESTION # 266
In the customers table, the CUST_CITY column contains the value 'Paris' for the CUST_FIRST_NAME 'Abigail'.
Evaluate the following query:
What would be the outcome?
Answer: B
NEW QUESTION # 267
Examine the description products table:
Examine the description of the new_projects table;
Which two queries execute successfully?
Answer: C,D
Explanation:
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)).
Reference:
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.
NEW QUESTION # 268
Evaluate this ALTER TABLE statement: (Choose the best answer.)
ALTER TABLE orders
SET UNUSED (order_date);
Which statement is true?
Answer: C
NEW QUESTION # 269
In the PROMOTIONS table, the PROMO_BEGTN_DATE column is of data type DATE and the default date format is DD-MON-RR.
Which two statements are true about expressions using PROMO_BEGIN_DATE contained in a query?
Answer: A,D
Explanation:
A). This statement is incorrect because TO_NUMBER expects a character string as an argument, not a date.
Directly converting a date to a number without an intermediate conversion to a character string would result in an error. B. This statement is incorrect. Multiplying a date by a number does not make sense in SQL, and attempting to convert such an expression to a date will also result in an error. C. This statement is correct.
Subtracting two dates in Oracle SQL results in the number of days between those dates, hence the result is a number. D. This statement is correct. Subtracting a number from a date in Oracle SQL will subtract that number of days from the date, returning another date. E. This statement is incorrect. As stated in C, subtracting a date from SYSDATE correctly returns the number of days between those two dates, not an error.
These concepts are explained in the Oracle Database SQL Language Reference, which details date arithmetic in SQL.
NEW QUESTION # 270
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