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Oracle 1z1-071 Exam Syllabus Topics:

Section	Weight	Objectives
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
Creating Other Schema Objects	10%	- Create, modify, and retrieve data from a view - Create synonyms for database objects - Create, maintain, and use sequences - Create and maintain indexes
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
Controlling User Access	5%	- Grant privileges on tables and on a view - Distinguish between granting privileges and roles - Differentiate system privileges from object privileges
Working with Oracle Database SQL	8%	- Explain the installation of Oracle Database software - Create a container database - Start up and shut down a database - Describe the Oracle Database architecture
Using Subqueries to Solve Queries	15%	- List the types of subqueries - Define subqueries - Describe the types of problems that subqueries can solve - Write single-row and multi-row subqueries
Restricting and Sorting Data	6%	- Limit the rows that are retrieved by a query - Use ampersand substitution to restrict and sort output at runtime - Use DEFINE and UNDEFINE commands - Sort the rows that are retrieved by a query
Using Single-Row Functions to Customize Output	10%	- Manipulate dates with the date functions - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Describe the differences between single-row and multiple-row functions - Perform arithmetic with date data
Retrieving Data Using the SQL SELECT Statement	5%	- Execute a basic SELECT statement - Differentiate between SQL statements and SQL*Plus commands - List the capabilities of SQL SELECT statements
Displaying Data from Multiple Tables Using Joins	15%	- Write SELECT statements to access data from more than one table using equijoins and non-equijoins - Join a table to itself by using a self-join - View data that does not meet a join condition by using outer joins - Cross join tables
Using DDL Statements to Create and Manage Tables	14%	- Drop, rename, and truncate tables - Alter table definitions - Categorize the main database objects - Review the table structure - Describe the data types that are available for columns - Create a simple table
Manipulating Data	14%	- Delete rows from a table - Insert rows into a table - Control transactions - Update rows in a table - Describe each data manipulation language (DML) statement
Reporting Aggregated Data Using Group Functions	15%	- Include or exclude grouped rows by using the HAVING clause - Identify the available group functions - Group data by using the GROUP BY clause - Describe the use of group functions

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Oracle Database SQL 1z1-071 Prüfungsfragen mit Lösungen (Q196-Q201):

196. Frage
View the Exhibit and examine the structure of the ORDER_ITEMS table.

You must select the ORDER_ID of the order that has the highest total value among all the orders in the ORDER_ITEMS table.
Which query would produce the desired result?

A. SELECT order_id
FROM order_items
WHERE(unit_price*quantity) = (SELECT MAX(unit_price*quantity)
FROM order_items)
GROUP BY order_id;
B. SELECT order_id
FROM order_items
WHERE (unit_price*quantity) = (SELECT MAX(unit_price*quantity)
FROM order_items
GROUP BY order_id)
C. SELECT order_id
FROM order_items
WHERE(unit_price*quantity) = MAX(unit_price*quantity)
GROUP BY order_id;
D. SELECT order_id
FROM order_items
GROUP BY order_id
HAVING SUM(unit_price*quantity) = (SELECT MAX(SUM(unit_price*quantity)) FROM order_items GROUP BY order_id);

Antwort: D

197. Frage
Which two are true about a SQL statement using SET operators such as UNION?

A. The names and number of columns must be identical for all SELECT statements in the query.
B. The data type of each column returned by the second query must be implicitly convertible to the data type of the corresponding column returned by the first query.
C. The data type group of each column returned by the second query must match the data type group of the corresponding column returned by the first query.
D. The number, but not names, of columns must be identical for all SELECT statements in the query.
E. The data type of each column returned by the second query must exactly match the data type of the corresponding column returned by the first query.

Antwort: C,E

198. Frage
The ORDERStable has a primary key constraint on the ORDER_IDcolumn.
The ORDER_ITEMStable has a foreign key constraint on the ORDER_IDcolumn, referencing the primary key of the ORDERStable.
The constraint is defined with ON DELETE CASCADE.
There are rows in the ORDERStable with an ORDER_TOTALof less than 1000.
Which three DELETEstatements execute successfully?
DELETE order_id FROM orders WHERE order_total < 1000;

A. DELETE orders WHERE order_total < 1000;
B. DELETE FROM orders;
C.
D. DELETE FROM orders WHERE order_total < 1000;
E. DELETE * FROM orders WHERE order_total < 1000;

Antwort: A,C,E

199. Frage
The SALES table has columns PROD_ID and QUANTITY_SOLD of data type NUMBER. Which two queries execute successfully?

A. SELECT prod_id FROM sales WHERE quantity_sold> 55000 GROUP BY prod_id HAVING COUNT(*)> 10;
B. SELECT prod_id FROM sales WHERE quantity_sold> 55000 AND COUNT(*)> 10 GROUP BY COUNT(*)> 10;
C. SELECT COUNT(prod_id) FROM sales GROUP BY prod_id WHERE quantity_sold> 55000;
D. SELECT prod_id FROM sales WHERE quantity_sold> 55000 AND COUNT(*)> 10 GROUP BY prod_id HAVING COUNT(*)> 10;
E. SELECT COUNT(prod_id) FROM sales WHERE quantity_sold>55000 GROUP BY prod_id;

Antwort: A,E

Begründung:
When crafting SQL queries, especially those involving aggregate functions and GROUP BY clauses, correct syntax and logical order of SQL clauses are crucial. Here's why A and B are the correct answers:
* A: Correct. This query uses COUNT() as an aggregate function correctly with a GROUP BY clause. It counts the number of prod_id entries for each product where quantity_sold exceeds 55000, grouped by prod_id.
* B: Correct. This query selects prod_id for groups having more than 10 rows where quantity_sold exceeds 55000. The GROUP BY and HAVING clauses are used correctly.
* C: Incorrect. The WHERE clause should be placed before the GROUP BY clause. The correct order of clauses is essential for query execution.
* D: Incorrect. This query attempts to use an aggregate function (COUNT(*)) in the WHERE clause and improperly in the GROUP BY clause, which is not allowed.
* E: Incorrect. Similar to D, it incorrectly attempts to use COUNT(*) in the WHERE clause, which is syntactically incorrect.

200. Frage
Examine the data in the ORD_ITEMS table:

Evaluate this query:

Which statement is true regarding the result?

A. It returns an error because all the aggregate functions used in the HAVINGclause must be specified in the SELECT list.
B. It displays the item nos with their average quantity where the average quantity is more than double the overall minimum quantity of all the items in the table.
C. It displays the item nos with their average quantity where the average quantity is more than double the minimum quantity of that item in the table.
D. It returns an error because the HAVINGclause should be specified after the GROUP BYclause.

Antwort: C

201. Frage
......

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