1z1-071 Test Papers - Valid 1z1-071 Test Questions

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Oracle 1z1-071 Exam Syllabus Topics:

SectionWeightObjectives
Relational Database Concepts10%- ERD and SQL statement mapping
- Relationship between database and SQL
- Theoretical and physical aspects of relational databases
Working with Time Zones and Date/Time Data- Time zone conversion functions
- TIMESTAMP, INTERVAL data types
Retrieving Data Using SQL SELECT Statement20%- Arithmetic operations and NULL handling
- Column aliases, concatenation, literals and DISTINCT
- SELECT statement syntax and usage
Managing Indexes, Synonyms and Sequences- Create and maintain indexes
- Create and use sequences
- Create and use synonyms
Aggregating Data Using Group Functions10%- SUM, AVG, COUNT, MAX, MIN functions
- GROUP BY and HAVING clauses
- Handling NULLs in group functions
Manipulating Data and Managing Transactions- Transaction control: COMMIT, ROLLBACK, SAVEPOINT
- Multi-table inserts
- INSERT, UPDATE, DELETE, MERGE statements
Using Data Dictionary Views- Retrieve metadata and object information
Controlling User Access- System and object privileges
- Roles, granting and revoking privileges
Using Subqueries to Solve Queries- Single-row and multi-row subqueries
- Correlated subqueries for update/delete
Using SET Operators- UNION, UNION ALL, INTERSECT, MINUS operators
- Ordering results with set operations
Conversion Functions and Conditional Expressions10%- TO_CHAR, TO_NUMBER, TO_DATE functions
- NVL, NULLIF, COALESCE and CASE expressions
- Implicit and explicit data type conversion
Using Single-Row Functions to Customize Output20%- Nested functions usage
- Character, number, and date functions
Restricting and Sorting Data15%- Substitution variables, DEFINE and VERIFY commands
- Operator precedence
- WHERE clause and filtering conditions
- ORDER BY clause and sorting rules
Managing Views- Create, modify and drop views
- Updatable and read-only views
Managing Tables and Constraints- Constraints: primary key, foreign key, unique, check, not null
- Temporary and external tables
- Data types, creating/altering/dropping tables
Displaying Data from Multiple Tables15%- Cartesian products
- Equijoins and non-equijoins
- Self-joins and outer joins

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Valid 1z1-071 Test Questions | 1z1-071 Reliable Exam Topics

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Oracle Database SQL Sample Questions (Q270-Q275):

NEW QUESTION # 270
Which two statements are true about * TABLES views?

Answer: A,C


NEW QUESTION # 271
Examine the description of the BOOKS_TRANSACTIONS table:

Examine this partial SQL statement:
SELECT * FROM books_transactions
Which two WHERE conditions give the same result?

Answer: C,D


NEW QUESTION # 272
View the Exhibit and examine the description of the tables.

You execute this SQL statement:

Which three statements are true?

Answer: D,E,F


NEW QUESTION # 273
Examine the description of the ENPLYEES table:

Which two queries return all rows for employees whose salary is greater than the average salary in their department?

Answer: B,C

Explanation:
GROUP BY department _ id
Explanation:
To return all rows for employees whose salary is greater than the average salary in their department, you would use either a subquery or an analytic function:
Option B:
SELECT ... FROM employees WHERE salary > AVG(salary) OVER (PARTITION BY department_id); This uses the window function AVG with PARTITION BY to calculate the average salary per department, and it compares each employee's salary to this average.
Option C:
SELECT ... FROM employees e1 WHERE salary > (SELECT AVG(salary) FROM employees e2 WHERE e1.department_id = e2.department_id); This correlated subquery compares each employee's salary to the average salary in their department using a subquery to calculate the average salary for that department.
Options A, D, and E are incorrect because:
Option A: The use of ANY with the subquery does not ensure comparison with the average salary of their respective department.
Option D: This is syntactically incorrect; the subquery alias avg_sal is not accessible outside the subquery.
Option E: The subquery does not correlate with the outer query to ensure that each employee's salary is compared to the average salary of their respective department.


NEW QUESTION # 274
You must find the number of employees whose salary is lower than employee 110.
Which statement fails to do this?

Answer: C

Explanation:
In this context, the correct answers will provide a count of employees with a salary less than that of employee with ID 110. Let's evaluate the provided statements:
A: This statement is incorrect due to a syntax error; it uses alias 'e' without defining it, and 'a' is also used incorrectly in the JOIN clause. It should have been written with proper aliases.
B: This statement is correct as it uses a subquery to find the salary of employee ID 110 and compares it to the salaries of all employees to get the count.
C: This statement is also correct as it creates a derived table with the salary of employee ID 110 and compares it with the salaries of the 'employees' table using a JOIN.
D: This is the statement that fails. It is incorrect because the subquery references 'e.employee_id = 110', which will compare the salary of each employee to themselves if their ID is 110, not to the salary of employee 110 for all employees.


NEW QUESTION # 275
......

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