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| Section | Objectives |
|---|---|
| Relational Database Concepts | - Data types and database objects overview - Tables, rows, columns, and relational model basics |
| SQL Retrieval | - SELECT statements and filtering data
|
| Subqueries and Advanced SQL | - Correlated subqueries and nested queries - Single-row and multi-row subqueries |
| Data Manipulation and Schema Objects | - DML operations
|
| SQL Functions | - Single-row functions
|
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NEW QUESTION # 60
Examine the description products table:
Examine the description of the new_projects table;
Which two queries execute successfully?
Answer: D,E
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)).
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.
NEW QUESTION # 61
Which three statements are true regarding the data types? (Choose three.)
Answer: B,C,D
NEW QUESTION # 62
You need to produce a report where each customer's credit limit has been incremented by $1000. In the output, the customer's last name should have the heading Nameand the incremented credit limit should be labeled New Credit Limit. The column headings should have only the first letter of each word in uppercase.
Which statement would accomplish this requirement?
SELECT cust_last_name AS "Name", cust_credit_limit + 1000
Answer: A
NEW QUESTION # 63
A session's NLS_DATE_FORMAT is set to DD Mon YYYY .
Which two queries return the value 1 Jan 2019?
Answer: D
Explanation:
When the NLS_DATE_FORMAT is set to DD Mon YYYY, the database expects the date string to be in the format of day, abbreviated month name, and full year.
B). The query SELECT DATE '2019-01-01' FROM DUAL; correctly returns the value 1 Jan 2019 because the ANSI date literal DATE 'YYYY-MM-DD' is independent of the NLS_DATE_FORMAT parameter.
Option A is incorrect because the TO_DATE function requires the format model to match the string literal, which it does not in this case.
Option C is incorrect because TO_CHAR is used to convert a date to a string, not a string to a date.
Option D is incorrect because without specifying that the string is a date, the result is just a string and not a date value.
Option E is incorrect because TO_DATE without a format model relies on the NLS_DATE_FORMAT to interpret the string, and YYYY-MM-DD does not match DD Mon YYYY.
NEW QUESTION # 64
Examine this query:
SELECT employee_id, first_name, salary
FROM employees
WHERE hiredate > 61*
Which two methods should yours to prevent prompting for hire date value when this queries executed?
Answer: B,F
Explanation:
To prevent the prompting for a substitution variable value when executing a query:
* B. Execute the SET VERIFY OFF command before executing the query: This command turns off the substitution variable prompting, which means that SQL*Plus will not prompt for a value and will use whatever value is currently set for that variable.
* F. Use the DEFINE command before executing the query: By using the DEFINE command to set a value for the variable before the query execution, you ensure that SQL*Plus uses this predefined value instead of prompting for it.
References:
* Oracle SQL*Plus User's Guide and Reference, which discusses how to manage substitution variables.
NEW QUESTION # 65
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