The Oracle 1Z0-071 exam validates your ability to write SQL queries and manage Oracle Database objects effectively. This certification is essential for database developers, administrators, and data professionals who work with Oracle Database. This exam tests both foundational SQL knowledge and practical application in real-world scenarios. Use this guide to understand the exam structure, review core topics, and prepare with a focused study plan.
Use this topic map to guide your study for Oracle 1Z0-071 (Oracle Database SQL) within the Oracle Database path.
The 1Z0-071 exam uses multiple-choice and scenario-based questions to measure both SQL knowledge and your ability to apply it in realistic situations. Questions progress in difficulty and require you to reason through problems rather than simply recall facts.
Success requires both memorization of syntax and the ability to design queries that solve real-world data problems efficiently.
An effective study routine maps topics to weekly goals and balances theoretical knowledge with hands-on practice. Dedicate time to each domain, practice writing queries, and review explanations to reinforce weak areas. Progressive difficulty in your practice helps build confidence and exam readiness.
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SELECT queries, joins, and subqueries typically account for a significant portion of the exam because they form the core of SQL work in real projects. DML and DDL statements also receive substantial coverage since managing data and table structures are essential tasks. While all topics matter, prioritize deep practice with retrieval and modification queries before moving to administrative features.
Joins combine data from multiple tables in a single pass, while subqueries break complex problems into smaller, sequential steps. In real projects, you often use both: joins for straightforward multi-table retrieval and subqueries when you need to filter based on aggregated values or correlated data. Understanding when to choose each approach is critical for writing efficient, maintainable SQL.
Writing actual SQL queries against a live or test Oracle Database is invaluable and significantly more effective than reading alone. Aim for at least 20-30 hours of hands-on practice across all topics, with emphasis on joins, subqueries, and DML statements. Labs that require you to create tables, insert data, and write queries to solve business problems build the muscle memory needed for exam success.
Misunderstanding join types and producing incorrect result sets is a frequent error, as is confusing aggregate functions with single-row functions. Syntax mistakes in DDL statements, incorrect use of WHERE versus HAVING, and overlooking NULL handling in comparisons also trip up many candidates. Review the behavior of each function and join type with multiple examples to avoid these pitfalls.
In the final week, focus on weak areas identified in practice tests rather than re-reading entire topics. Take a full-length timed practice test three days before your exam, review all incorrect answers, and drill those specific concepts. Two days before, do a lighter review of key syntax and function behaviors, then rest the day before the exam to arrive focused and alert.
Which three statements are true regarding indexes?
Indexes are structures that can improve the retrieval time of data from a database table and have certain characteristics:
A . A SELECT statement can access one or more indices without accessing any tables: If the index contains all the columns needed for the query, Oracle can retrieve the data from the index alone without accessing the table. This is known as an index-only scan.
D . A UNIQUE index can be altered to be non-unique: It is possible to alter a unique index to become non-unique by using the ALTER INDEX command.
F . An update to a table can result in updates to any or all of the table's indexes: If the updated column is part of one or more indexes, those indexes will need to be updated to reflect the change. If the updated column is not part of an index, then no index update is required.
Oracle Database SQL Language Reference 12c, especially sections on index management and the behavior of DML operations with respect to indexes.
Which three statements are true about the DESCRIBE command?
A: True. The DESCRIBE command can indeed be used from SQL Developer as well as other Oracle database tools such as SQL*Plus. This command is used to display the structure of a table, view, or other object, showing information such as column names, data types, and whether a column is nullable.
B: True. The DESCRIBE command can be used to display the structure of an existing view, showing similar information as it would for a table. This includes the columns, their data types, and other pertinent details.
D: True. When DESCRIBE is used, it does display the NOT NULL constraints for columns that have this constraint. This is part of the basic information about the structure of a table or view that can help developers understand the requirements of the data stored therein.
Examine the description of the CUSTOMERS table:

You want to display details of all customers who reside in cities starting with the letter D followed by at least two character.
Which query can be used?
The LIKE operator is used in SQL to search for a specified pattern in a column. To find all customers residing in cities starting with 'D' followed by at least two characters, you need to use the LIKE operator with the appropriate wildcard pattern:
A . SELECT * FROM customers WHERE city LIKE 'D_%'; The underscore () wildcard character in SQL represents a single character. The percent (%) wildcard character represents zero or more characters. So 'D%' will match any city starting with 'D' followed by at least one character (as there is one underscore).
Oracle Database SQL Language Reference 12c, specifically the section on pattern matching with the LIKE condition.
Which two are true about queries using set operators such as UNION?
Set operators allow you to combine multiple queries into a single query. The key points for each option are:
A . An expression in the first SELECT list does not need to have a column alias; however, the column alias given to an expression in the first SELECT list is used as the column name of the output.
B . This statement is true. When CHAR columns of different lengths are combined with a set operator, Oracle will pad the shorter values with spaces to match the length of the longest value. This behavior is consistent with the SQL standard and Oracle's treatment of the CHAR datatype.
C . Oracle Database performs implicit conversion between compatible data types where necessary when using set operators. For example, a NUMBER can be implicitly converted to a VARCHAR2 and vice versa if the context requires it.
D . This is true. When multiple set operators are used in a single query, the INTERSECT operator takes precedence over the UNION and UNION ALL operators. This order of operation can be overridden by using parentheses.
E . Not all set operators work with all data types. For instance, LOB and LONG RAW data types cannot be used with set operators.
Oracle Database SQL Language Reference, 12c Release 1 (12.1): 'Set Operators'
Oracle Database SQL Language Reference, 12c Release 1 (12.1): 'Data Types'
Examine the description products table:

Examine the description of the new_projects table;

Which two queries execute successfully?
A)

B)

C)

D)

E)

To determine which queries will execute successfully, we need to consider the compatibility of the column definitions and the structure of the SELECT statements:
Option A uses the MINUS set operator, which subtracts rows returned by the second SELECT statement from the rows returned by the first. For MINUS to work, the number and the order of columns and their data types must be the same in both queries. This query will not execute successfully because the second SELECT statement does not include all columns from the first SELECT statement, and the data types and sizes of PROD_ID do not match (CHAR(2) vs CHAR(4)).
Option B uses the UNION ALL set operator, which appends the results of the second SELECT statement to the results of the first. Unlike UNION, UNION ALL does not eliminate duplicate rows. This query will execute successfully because UNION ALL does not require the same data types or sizes, and the result will contain all columns from the first SELECT statement filled with NULL for non-matching columns from the second SELECT statement.
Option C uses the UNION set operator, which requires the same number of columns and compatible data types. This query will not execute successfully because PROD_NAME has different data types (CHAR(4) vs VARCHAR2(10)), and the result of a UNION must have the same number of columns with compatible data types in the two SELECT statements.
Option D uses the UNION set operator as well, but unlike Option C, it does not require a specific data type match because both SELECT statements include all columns and UNION is used (which will automatically handle type conversion where necessary). This query will execute successfully.
Option E uses the INTERSECT set operator, which requires the same number and order of columns and their data types to be identical or compatible. This query will not execute successfully because the data types and sizes of PROD_ID do not match (CHAR(2) vs CHAR(4)).
Oracle Documentation on Set Operators: SQL Language Reference - Set Operators
Oracle Documentation on Data Type Precedence: SQL Language Reference - Data Type Precedence
In conclusion, only Option B and Option D will execute successfully because they adhere to the rules of the UNION ALL and UNION operators respectively, regarding column count and data type compatibility.