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Oracle 1z0-071 Exam Syllabus Topics:

Section	Weight	Objectives
Using Set Operators	5%	- Describe the order of precedence when the set operators are used - Describe set operators - Use a set operator to combine multiple queries into a single query
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
Retrieving Data Using the SQL SELECT Statement	5%	- Execute a basic SELECT statement - List the capabilities of SQL SELECT statements - Differentiate between SQL statements and SQL*Plus commands
Working with Oracle Database SQL	8%	- Start up and shut down a database - Explain the installation of Oracle Database software - Describe the Oracle Database architecture - Create a container database
Reporting Aggregated Data Using Group Functions	15%	- Describe the use of group functions - Include or exclude grouped rows by using the HAVING clause - Group data by using the GROUP BY clause - Identify the available group functions
Manipulating Data	14%	- Insert rows into a table - Describe each data manipulation language (DML) statement - Update rows in a table - Control transactions - Delete rows from a table
Using Single-Row Functions to Customize Output	10%	- Manipulate numbers with the ROUND, TRUNC, and MOD functions - Perform arithmetic with date data - Manipulate dates with the date functions - Describe the differences between single-row and multiple-row functions - Manipulate strings with character function in the SELECT and WHERE clauses
Using Subqueries to Solve Queries	15%	- Describe the types of problems that subqueries can solve - Write single-row and multi-row subqueries - List the types of subqueries - Define subqueries
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
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
Controlling User Access	5%	- Distinguish between granting privileges and roles - Differentiate system privileges from object privileges - Grant privileges on tables and on a view
Displaying Data from Multiple Tables Using Joins	15%	- 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 - Cross join tables - Join a table to itself by using a self-join
Using DDL Statements to Create and Manage Tables	14%	- Alter table definitions - Review the table structure - Categorize the main database objects - Create a simple table - Drop, rename, and truncate tables - Describe the data types that are available for columns

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Oracle Database SQL 認定 1z0-071 試験問題 (Q406-Q411):

質問 # 406
View the exhibit and examine the data in ORDERS_MASTER and MONTHLY_ORDERS tables.

Evaluate the following MERGE statement:
MERGE_INTO orders_master o
USING monthly_orders m
ON (o.order_id = m.order_id)
WHEN MATCHED THEN
UPDATE SET o.order_total = m.order_total
DELETE WHERE (m.order_total IS NULL)
WHEN NOT MATCHED THEN
INSERT VALUES (m.order_id, m.order_total);
What would be the outcome of the above statement?

A. The ORDERS_MASTER table would contain the ORDER_IDs 1, 2 and 4.
B. The ORDERS_MASTER table would contain the ORDER_IDs 1, 2 and 3.
C. The ORDERS_MASTER table would contain the ORDER_IDs 1, 2, 3 and 4.
D. The ORDERS_MASTER table would contain the ORDER_IDs 1 and 2.

正解：A

解説：
https://docs.oracle.com/cd/B28359_01/server.111/b28286/statements_9016.htm

質問 # 407
Which two queries return the string Hello! we're ready?

A. SELECT 'Hello! We're ready' FROM DUAL;
B. SELECT q'[Hello! We're ready]'FROM DUAL;
C. SELECT 'Hello! we\ re ready' ESCAPE'N'FROMDUAL:
D. SELECT "Hello! We're ready "FROM |DUAL;
E. SELECT q'! Hello! We're ready! 'FROM DUAL;

正解：B、E

解説：
In Oracle SQL, the q quote operator can be used to define string literals that contain single quotes or other special characters without needing to escape them. The queries using the q quote mechanism, like in options A and C, will successfully return the string as it is, including single quotes within the string.
* A: Correct, it uses the q quote operator with the exclamation mark ! as the delimiter, which allows the string to contain single quotes.
* B: Incorrect, double quotes " in Oracle SQL are used for identifiers such as column names, not string literals.
* C: Correct, this also uses the q quote operator, with the square brackets [] as the delimiters.
* D: Incorrect, the backslash \ is not used as an escape character in Oracle SQL string literals, and the ESCAPE keyword is used incorrectly here.
* E: Incorrect, this does not account for the single quote within the string, which would terminate the string literal prematurely, and it lacks the q quote operator or proper escape mechanism.

質問 # 408
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 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?

A. The EXECUTION _DATETIME must be of TIMESTAMP data type.
B. The COMPONENT_ID column must be of CHAR data type.
C. The EXECUTION_DATETIME must be of INTERVAL DAY TO SECOND data type.
D. The EXECUTION_DATATIME must be of DATE data type.
E. The COMPONENT_ID must be of VARCHAR2 data type.
F. The COMPONENT_ID must be of ROWID data type.

正解：D、E

質問 # 409
Which two are true about transactions in the Oracle Database?

A. A session can see uncommitted updates made by the same user in a different session
B. An uncommitted transaction is automatically committed when the user exits SQL*PLUS
C. DML statements always start new transactions.
D. DDL statements automatically commit only data dictionary updates caused by executing the DDL.
E. A DDL statement issued by a session with an uncommitted transation automaticall commits that transaction.

正解：B、E

質問 # 410
Viev the Exhibit and examine the structure of the PRODUCT INFORMATION and INVENTORIEStables.
You have a requirement from the supplies department to give a list containing PRODUCT _ID,SUPPLIER ID, and QUANTITY_ON HAND for all the products where in QUANTITY ON HAND is lessthan five.
Which two SQL statements can accomplish the task? (Choose two)

A. SELECT i. product id, i. quantity .on hand, pi. supplier_id
FROM product_information pi JOIN inventories i
ON (pi. product. id=i. product id) AND quantity on hand < 5;
B. SELECT product id, quantity on hand, supplier id
FROM product information
NATURAL JOIN inventories AND quantity .on hand < 5;
C. SELECT i.product id, i. quantity on hand, pi. supplier id
FROM product information pi JOIN inventories i
ON (pi.product id=i. product id)WHERE quantity on hand < 5;
D. SELECT i. product_id, i. quantity_on hand, pi. supplier id
FROM product information pi JOIN inventories i USING (product id) AND quantity .on hand < 5;

正解：A、C

解説：
Given the requirement to list PRODUCT_ID, SUPPLIER_ID, and QUANTITY_ON_HAND for products with QUANTITY_ON_HAND less than five:
* B. This query correctly joins the two tables on PRODUCT_ID and filters rows where QUANTITY_ON_HAND is less than five. However, the syntax presented here might be incorrect due to improper placement of the condition within the ON clause; it should be in a WHERE clause.
* D. This query correctly joins the two tables on PRODUCT_ID and applies the condition in a WHERE clause, which is the proper way to filter rows after performing the join.
Incorrect options:
* A: The syntax uses NATURAL JOIN and AND incorrectly; also, conditions should be in a WHERE clause, not combined with the JOIN clause.
* C: Similar to A, this option incorrectly places a condition directly in the JOIN clause without using a WHERE clause.

質問 # 411
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