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Oracle Database SQL Expert
Exam Number: 1Z0-047 / 1Z0-047
Duration: 120 minutes
Associated Certifications:
Oracle Database SQL Certified Expert
Number of Questions:
75
Exam Product Version: SQL and PL/SQL,
Passing Score: 66%
Exam Price: US$ 150
Validated Against:
This exam has been validated against Oracle Database 10g, Oracle Database 11g, Oracle Database 11g Release 2, and Oracle Database 12c Release 1.
format: Multiple Choice
Recommended Training
Oracle Database: Introduction to SQL
OR
Oracle Database: SQL Workshop I and
Oracle Database: SQL Workshop II
Free Online Practice Test Demo
Exam Preparation Seminar
(This version of the Exam Prep Seminar covers only the objectives included before September 15, 2014. A new version that covers all objectives will be released soon.)
Certification Exam Preparation Seminar: Oracle Database SQL
Exam Prep Seminar Value Package: Oracle Database SQL
Practice Exams
Practice Exam: Oracle authorized practice exam from Kaplan SelfTest. 1Z0-047 Oracle Database SQL Expert
Practice Exam: Oracle authorized practice exam from Transcender: Cert-1Z0-047 DBCert: Oracle Database SQL Expert
Sample Questions
Additional Training:
These courses will prepare you for most topics on the exam. Exceptions are the topics introduced effective September 15, 2014.
Oracle Database: Introduction to SQL OR
Oracle Database 11g: SQL Fundamentals I and Oracle Database 11g: SQL Fundamentals II
These earlier courses are still valid exam preparation tools but are no longer being scheduled:
Oracle Database 10g: Introduction to SQL
Oracle Database 11g: Introduction to SQL
Oracle Database 10g: SQL Fundamentals I AND Oracle Database 10g: SQL Fundamentals II
Oracle Database 11g: SQL Fundamentals I AND Oracle Database 11g: SQL Fundamentals II
TOPICS
Retrieving Data Using the SQL SELECT Statement*
List the capabilities of SQL SELECT statements*
Execute a basic SELECT statement*
Describe how schema objects work*
Restricting and Sorting Data
Limit the rows that are retrieved by a query
Sort the rows that are retrieved by a query
Use the SQL row limiting clause**
Create queries using the PIVOT and UNPIVOT clause**
Use pattern matching to recognize patterns across multiple rows in a table**
Using Single-Row Functions to Customize Output
Describe various types of functions that are available in SQL
Use character, number, and date functions in SELECT statements (Updated to "Use character, number, and date and analytical (PERCENTILE_CONT, STDDEV, LAG, LEAD) functions in SELECT statements" September 15, 2014)**
Describe the use of conversion functions
Reporting Aggregated Data Using the Group Functions
Identify the available group functions
Describe the use of group functions
Group data by using the GROUP BY clause
Include or exclude grouped rows by using the HAVING clause
Displaying Data from Multiple Tables
Write SELECT statements to access data from more than one table using equijoins and nonequijoins
Join a table to itself by using a self-join
View data that generally does not meet a join condition by using outer joins
Generate a Cartesian product of all rows from two or more tables
Use the cross_outer_apply_clause**
Using Subqueries to Solve Queries
Define subqueries*
Describe the types of problems that subqueries can solve*
Use subqueries**
List the types of subqueries
Write single-row and multiple-row subqueries
Create a lateral inline view in a query**
Using the Set Operators
Describe set operators
Use a set operator to combine multiple queries into a single query
Control the order of rows returned
Manipulating Data
Describe each data manipulation language (DML) statement
Insert rows into a table
Update rows in a table
Delete rows from a table
Control transactions
Using DDL Statements to Create and Manage Tables
Categorize the main database objects
Review the table structure
List the data types that are available for columns
Create a simple table
Explain how constraints are created at the time of table creation
Truncate tables, and recursively truncate child tables**
Use 12c enhancements to the DEFAULT clause, invisible columns, virtual columns and identity columns in table creation/alteration**
Creating Other Schema Objects
Create simple and complex views (Updated to "Create simple and complex views with visible/invisible columns on September 15, 2014)**
Retrieve data from views
Create, maintain, and use sequences
Create and maintain indexes*
Create private and public synonyms
Managing Objects with Data Dictionary Views
Use the data dictionary views to research data on your objects*
Query various data dictionary views
Controlling User Access
Differentiate system privileges from object privileges
Grant privileges on tables (Updated to Grant privileges on tables and on a user on September 15, 2014)**
View privileges in the data dictionary
Grant roles
Distinguish between privileges and roles
Managing Schema Objects
Add constraints
Create indexes (Updated to "Create and maintain indexes including invisible indexes and multiple indexes on the same columns" on September 15, 2014)**
Create indexes using the CREATE TABLE statement
Creating function-based indexes
Drop columns and set column UNUSED
Perform FLASHBACK operations
Create and use external tables
Manipulating Large Data Sets
Manipulate data using subqueries
Describe the features of multitable INSERTs
Use the following types of multitable INSERTs (Unconditional, Conditional and Pivot)
Merge rows in a table
Track the changes to data over a period of time
Use explicit default values in INSERT and UPDATE statements**
Generating Reports by Grouping Related Data
Use the ROLLUP operation to produce subtotal values
Use the CUBE operation to produce crosstabulation values
Use the GROUPING function to identify the row values created by ROLLUP or CUBE
Use GROUPING SETS to produce a single result set
Managing Data in Different Time Zones
Use Various datetime functions
TZ_OFFSET
FROM_TZ
TO_TIMESTAMP
TO_TIMESTAMP_TZ
TO_YMINTERVAL
TO_DSINTERVAL
CURRENT_DATE
CURRENT_TIMESTAMP
LOCALTIMESTAMP
DBTIMEZONE
SESSIONTIMEZONE
EXTRACT
Retrieving Data Using Subqueries
Write a multiple-column subquery
Use scalar subqueries in SQL
Solve problems with correlated subqueries
Update and delete rows using correlated subqueries
Use the EXISTS and NOT EXISTS operators
Use the WITH clause
Hierarchical Retrieval
Interpret the concept of a hierarchical query
Create a tree-structured report
Format hierarchical data
Exclude branches from the tree structure
Regular Expression Support
Use Meta Characters
Regular Expression Functions
Use Replacing Patterns
Use Regular Expressions and Check Constraints
*These objectives are removed effective 15 Sept 2014.
**These objectives are added or updated effective 15 Sept 2014.
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