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Oracle 1z1-071 Exam Syllabus Topics:

Section	Weight	Objectives
Using Single-Row Functions to Customize Output	10%	- Manipulate strings with character function in the SELECT and WHERE clauses - Perform arithmetic with date data - Describe the differences between single-row and multiple-row functions - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Manipulate dates with the date functions
Restricting and Sorting Data	6%	- Use ampersand substitution to restrict and sort output at runtime - Limit the rows that are retrieved by a query - Sort the rows that are retrieved by a query - Use DEFINE and UNDEFINE commands
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
Controlling User Access	5%	- Differentiate system privileges from object privileges - Grant privileges on tables and on a view - Distinguish between granting privileges and roles
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
Using Conversion Functions and Conditional Expressions	10%	- Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - Describe implicit and explicit data type conversion - Use conditional IF THEN ELSE logic in a SELECT statement - Apply the NVL, NULLIF, and COALESCE functions to data
Creating Other Schema Objects	10%	- Create and maintain indexes - Create, maintain, and use sequences - Create synonyms for database objects - Create, modify, and retrieve data from a view
Manipulating Data	14%	- Insert rows into a table - Control transactions - Describe each data manipulation language (DML) statement - Delete rows from a table - Update rows in a table
Displaying Data from Multiple Tables Using Joins	15%	- Cross join tables - 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 - Join a table to itself by using a self-join
Using Set Operators	5%	- Describe set operators - Use a set operator to combine multiple queries into a single query - Describe the order of precedence when the set operators are used
Reporting Aggregated Data Using Group Functions	15%	- Describe the use of group functions - Identify the available group functions - Group data by using the GROUP BY clause - Include or exclude grouped rows by using the HAVING clause
Using DDL Statements to Create and Manage Tables	14%	- Describe the data types that are available for columns - Review the table structure - Categorize the main database objects - Alter table definitions - Create a simple table - Drop, rename, and truncate tables
Using Subqueries to Solve Queries	15%	- Define subqueries - Describe the types of problems that subqueries can solve - List the types of subqueries - Write single-row and multi-row subqueries

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Oracle Database SQL Sample Questions (Q21-Q26):

NEW QUESTION # 21
The STORES table has a column START_ DATE of data type DATE, containing the date the row was inserted.
You only want to display details of rows where START_ DATE is within the last 25 months.
Which WHERE clause can be used?

A. WHERE MONTHS_ BETWEEN (SYSDATE, start_ date) <= 25
B. WHERE ADD_ MONTHS (start_ date, 25) <= SYSDATE
C. WHERE TO_ NUMBER (start_ date - SYSDATE) <= 25
D. WHERE MONTHS_ BETWEEN (start_ date, SYSDATE) <= 25

Answer: D

Explanation:
When you need to compare dates and calculate the difference in months between two dates, you use the MONTHS_BETWEEN function in Oracle SQL.
A). This statement is incorrect because MONTHS_BETWEEN takes the later date first, then the earlier date.
B). This statement is correct. The MONTHS_BETWEEN function returns the number of months between two dates. It takes the later date (in this case, SYSDATE) first and the earlier date (start_date) second. If the start_date is within the last 25 months, the result will be less than or equal to 25.
C). This statement is incorrect. The expression TO_NUMBER(start_date - SYSDATE) would not give the correct number of months between the dates.
D). This statement is incorrect. The ADD_MONTHS(start_date, 25) function adds 25 months to start_date, and comparing it to SYSDATE would show dates that are at least 25 months in the future.

NEW QUESTION # 22
Examine the description of the ORDERS table:

Which three statements execute successfully?

A. SELECT order_ id, order_ data FROM orders
UNION ALL
SELECT invoice_ id, invoice_ data FROM invoices ORDER BY order_ id;
B. SELECT * FROM orders ORDER BY order_ id
UNION
SELECT * FROM invoices;
C. SELECT order_ id, invoice_ data order_ date FROM orders
MINUS
SELECT invoice_ id, invoice_ data FROM invoices ORDER BY invoice_ id;
D. SELECT * FROM orders ORDER BY order_ id
INTERSEOT
SELECT * FROM invoices ORDER BY invoice_ id;
E. SELECT * FROM orders
MINUS
SELECT * FROM INVOICES ORDER BY 1
F. SELECE order _id, order _ date FRON orders
LNTERSECT
SELECT invoice_ id, invoice_ id, order_ date FROM orders
G. (SELECT * FROM orders
UNION ALL
SELECT* FROM invoices) ORDER BY order _id;

Answer: A,E,G

NEW QUESTION # 23
Examine the commands used to create DEPARTMENT_DETAILS and
COURSE_DETAILS:

You want to generate a report that shows all course IDs irrespective of whether they have corresponding department IDs or not but no department IDs if they do not have any courses.
Which SQL statement must you use?

A. SELECT course_id, department_id, FROM department_details d RIGHT OUTER JOIN course_details c USING (department_id)
B. SELECT c.course_id, d.department_id FROM course_details c FULL OUTER JOIN department_details d ON (c.department_id=d. department_id)
C. SELECT c.course_id, d.department_id FROM course_details c RIGHT OUTER JOIN
.department_details d ON (c.depatrment_id=d.department_id)
D. SELECT c.course_id, d.department_id FROM course_details c FULL OUTER JOIN department_details d ON (c.department_id<>d. department_id)

Answer: B

NEW QUESTION # 24
The SALES table has columns PROD_ID and QUANTITY_SOLD of data type NUMBER. Which two queries execute successfully?

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

Answer: D,E

NEW QUESTION # 25
Which three statements are true regarding the SQL WHERE and HAVING clauses? (Choose three.)

A. The HAVING clause conditions can use aliases for the columns.
B. The WHERE clause is used to exclude rows before grouping data.
C. The HAVING clause conditions can have aggregating functions.
D. The WHERE and HAVING clauses cannot be used together in a SQL statement.
E. The HAVING clause is used to exclude one or more aggregated results after grouping data.

Answer: B,C,E

NEW QUESTION # 26
......

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