2017年4月24日 星期一

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Exam Code: 1Z0-047

Exam Name: Oracle Database SQL Expert

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1Z0-047 Free Practice Exams Total Q&A: 264 Questions and Answers

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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




  • 1Z0-047 Oracle Database SQL Expert



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.




  • 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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