Mar 02, 2025 Reliable Study Materials for 1z1-071 Exam Success For Sure [Q187-Q207]

Mar 02, 2025 Reliable Study Materials for 1z1-071 Exam Success For Sure

100% Latest Most updated 1z1-071 Questions and Answers

NEW QUESTION # 187
View the Exhibit and examine the structure of the SALEStable.

The following query is written to retrieve all those product IDs from the SALEStable that have more than 55000 sold and have been ordered more than 10 items.

Which statement is true regarding this SQL statement?

• A. It executes successfully and generates the required result.
• B. It produces an error because COUNT (*)should be only in the HAVING clause and not in the WHERE clause.
• C. It executes successfully but produces no result because COUNT(prod_id)should be used instead of COUNT(*).
• D. It produces an error because COUNT (*)should be specified in the SELECTclause also.

Answer: B

NEW QUESTION # 188
View the exhibit and examine the structure of the PROMOTIONS table.

You have to generate a report that displays the promo name and start date for all promos that started after the last promo in the 'INTERNET' category.
Which query would give you the required output?

• A. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date > ALL (SELECT promo_begin_dateFROM promotionsWHERE promo_category = 'INTERNET');
• B. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date> ANY (SELECT promo_begin_dateFROM promotionsWHERE promo_category= 'INTERNET');
• C. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date> ALL (SELECT MAX (promo_begin_date)FROM promotions) ANDpromo_category= 'INTERNET';
• D. SELECT promo_name, promo_begin_date FROM promotionsWHERE promo_begin_date IN (SELECT promo_begin_dateFROM promotionsWHERE promo_category= 'INTERNET');

Answer: A

NEW QUESTION # 189
Which two statements are true about the SET VERIFY ON command? (Choose two.)

• A. It can be used only in SQL*Plus
• B. It displays values for variables used only in the WHERE clause of a query
• C. It can be used in SQL Developer and SQL*Plus
• D. It displays values for variables prefixed with &&
• E. It displays values for variables created by the DEFINE command

Answer: A,E

NEW QUESTION # 190
View the Exhibit and examine the structure of the CUSTOMERS table.

You want to generate a report showing the last names and credit limits of all customers whose last names start with A, B, or C, and credit limit is below 10,000.
Evaluate the following two queries:
SQL> SELECT cust_last_name, cust_credit_limit FROM customers
WHERE (UPPER(cust_last_name) LIKE 'A%' OR
UPPER (cust_last_name) LIKE 'B%' OR UPPER (cust_last_name) LIKE 'C%')
AND cust_credit_limit < 10000;
SQL>SELECT cust_last_name, cust_credit_limit FROM customers
WHERE UPPER (cust_last_name) BETWEEN 'A' AND 'C'
AND cust_credit_limit < 10000;
Which statement is true regarding the execution of the above queries?

• A. Only the second query gives the correct result
• B. Only the first query gives the correct result
• C. Both execute successfully but do not give the required result
• D. Both execute successfully and give the same result

Answer: B

NEW QUESTION # 191
In the EMPLOYEES table there are 1000 rows and employees are working in the company for more than
10 years.
Evaluate the following SQL statement:

What would be the result?

• A. It executes successfully and updates the records of those employees who have been working in the company for more than 600 days.
• B. It gives an error because multiple NVL functions are used in an expression.
• C. It gives an error because NVL function cannot be used with UPDATE.
• D. It executes successfully but no rows updated.

Answer: A

NEW QUESTION # 192

Which two queries will result in an error?

• A. SELECT LAST_NAME,12 * SALARY AS ANNUAL_SALARY
  FROM EMPLOYEES
  WHERE ANNUAL_SALARY > 100000
  ORDER BY 12 * SALARY ;
• B. SELECT FIRST_NAME LAST_NAME FROM EMPLOYEES;
• C. SELECT FIRST_NAME,LAST_NAME FROM EMPLOYEES;
• D. SELECT LAST_NAME,12 * SALARY AS ANNUAL_SALARY
  FROM EMPLOYEES
  WHERE 12 * SALARY > 100000
  ORDER BY 12 * SALARY;
• E. SELECT LAST_NAME,12 * SALARY AS ANNUAL_SALARY
  FROM EMPLOYEES
  WHERE 12 * SALARY > 100000
  ORDER BY ANNUAL_SALARY;
• F. SELECT LAST_NAME,12 * SALARY AS ANNUAL_SALARY
  FROM EMPLOYEES
  WHERE ANNUAL_SALARY > 100000
  ORDER BY ANNUAL_SALARY;

Answer: A,F

NEW QUESTION # 193
Which two statements are true regarding multiple-row subqueries? (Choose two.)

• A. They always contain a subquery within a subquery.
• B. They should not be used with the NOT IN operator in the main query if NULL is likely to be a part of the result of the subquery.
• C. They can be used to retrieve multiple rows from a single table only.
• D. They can contain group functions.
• E. They use the < ALL operator to imply less than the maximum.

Answer: B,D

NEW QUESTION # 194
Which two statements are true regarding constraints?

• A. A foreign key column cannot contain null values.
• B. A constraint is enforced only for INSERT operation on the table.
• C. A constraint can be disabled even if the constraint column contains data.
• D. A column with the UNIQUE constraint can contain null values.
• E. All constraints can be defined at the column level and at the table level.

Answer: C,D

NEW QUESTION # 195
Which two statements are true about a self join? (Choose two.)

• A. It must be a full outer join.
• B. It can be an inner join.
• C. It can be a left outer join.
• D. It must be an equijoin.
• E. The join key column must have an index.

Answer: B,C

NEW QUESTION # 196
Which three tasks can be performed by DDL statements? (Choose three.)

• A. preventing data retrieval from a table outside of office hours
• B. creating multiple savepoints to enable partial rollback of a transaction
• C. preventing any data modification to a table
• D. modifying a table to prevent data that violate certain conditions from being entered in a column
• E. providing an alternative name for a table

Answer: C,D,E

NEW QUESTION # 197
Which three statements are true reading subqueries? (Choose three.)

• A. The subquery and main query can retrieve data from different tables.
• B. The subquery and main query must retrieve date from the same table.
• C. Multiple columns or expressions can be compared between the subquery and main query.
• D. A Main query can have many subqueries.
• E. A subquery can have more than one main query.
• F. Only one column or expression can be compared between the subquery and main query.

Answer: A,C,D

NEW QUESTION # 198
You need to display the date 11-oct-2007 in words as 'Eleventh of October, Two Thousand Seven'.
Which SQL statement would give the required result?

• A. SELECT TO_CHAR(TO_DATE('11-oct-2007'), 'fmDdthsp "of" Month, Year')FROM DUAL;
• B. SELECT TO_DATE(TO_CHAR('11-oct-2007'), 'fmDdspth "of" Month, Year'))FROM DUAL;
• C. SELECT TO_CHAR(TO_DATE('11-oct-2007'), 'fmDdspth of month, year')FROM DUAL;
• D. SELECT TO_CHAR('11-oct-2007', 'fmDdspth "of" Month, Year')FROM DUAL;

Answer: A

NEW QUESTION # 199
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 product id, quantity on hand, supplier id
  FROM product information
  NATURAL JOIN inventories AND quantity .on hand < 5;
• B. 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;
• C. 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;
• D. 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;

Answer: B,D

Explanation:
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.

NEW QUESTION # 200
Which statement is true about Data Manipulation Language (DML)?

• A. A transaction can consist of one or more DML statements.
• B. DML disables foreign key constraints when deleting primary key values in the parent table, only when the ON DELETE CASCADE option is set for the foreign key constraint.
• C. DML automatically disables foreign ley constraints when modifying primary key values in the parent table.
• D. Each DML statement forms a transaction by default.

Answer: A

NEW QUESTION # 201
which is true about the round,truncate and mod functions>?

• A. ROUND(MOD(25,3),-1) IS INVALID
• B. ROUND(MOD(25,3),-1) AND TRUNC(MOD(25,3),-1) ARE BOTH VALID AND GIVE THE DIFFERENT RESULTS.
• C. ROUND(MOD(25,3),-1) AND TRUNC(MOD(25,3),-1) ARE BOTH VALID AND GIVE THE SAME RESULT.
• D. TRUNC(MOD(25,3),-1) IS INVALID.

Answer: B

Explanation:
Both ROUND and TRUNC functions can be applied to numbers, and MOD is a function that returns the remainder of a division. The ROUND function rounds a number to a specified number of decimal places, which can be positive, zero, or negative. The TRUNC function truncates a number to a specified number of decimal places.
ROUND(MOD(25,3),-1) rounds the result of MOD(25,3), which is 1, to tens place, which results in 0. TRUNC(MOD(25,3),-1) truncates the result of MOD(25,3), which is 1, to tens place, which also results in 0.
Both are valid, but in this specific case, they give the same result because the remainder (1) when rounded or truncated to tens place (-1) will be 0.

NEW QUESTION # 202
Examine the description of the PRODCTS table which contains data:

Which two are true?

• A. The EXPIRY DATE column data type can be changed to TIME STAMP.
• B. The PROD NAME column cannot have a DEFAULT clause added to it.
• C. The PROD ID column can be renamed.
• D. The EXPIRY DATE column cannot be dropped.
• E. The PROD_ ID column data type can be changed to VARCHAR2 (2).

Answer: A,C

Explanation:
A: True, the name of a column can be changed in Oracle using the ALTER TABLE ... RENAME COLUMN command.
B: False, you cannot change a column's data type from NUMBER to VARCHAR2 if the table contains data, unless the change does not result in data loss or inconsistency.
C: True, it is possible to change a DATE data type column to TIMESTAMP because TIMESTAMP is an extension of DATE that includes fractional seconds. This operation is allowed if there is no data loss.
D: False, any column that is not part of a primary key or does not have a non-deferrable constraint can generally be dropped unless it contains data that does not allow for such a change.
E: False, the DEFAULT clause can be added to a column provided there is no data that contradicts the default value or it doesn't violate any constraints.
These statements are verified against the Oracle Database 12c SQL documentation, specifically the sections on data types, the ALTER TABLE command, and the use of literals in SQL expressions.

NEW QUESTION # 203
Examine the description of the PRODUCT_INFORMATION table:

• A. SELECT (COUNT(list_price) FROM Product_intormation WHERE list_price=NULL;
• B. SELECT COUNT(DISTINCT list_price) FROM product_information WHERE list_price is null.
• C. SELECT count(nvl( list_price,0)) FROM product_information WHERE list_price is null;
• D. BELECT COUNT(list_price) FROM product_information where list_price is NULL;

Answer: C

Explanation:
In SQL, when you want to count occurrences of null values using the COUNT function, you must remember that COUNT ignores null values. So, if you want to count rows with null list_price, you have to replace nulls with some value that can be counted. This is what the NVL function does. It replaces a null value with a specified value, in this case, 0.
A, C, and D options attempt to count list_price directly where it is null, but this will always result in a count of zero because COUNT does not count nulls. Option B correctly uses the NVL function to convert null list_price values to 0, which can then be counted. The WHERE list_price IS NULL clause ensures that only rows with null list_price are considered.
The SQL documentation confirms that COUNT does not include nulls in its count and NVL is used to substitute a value for nulls in an expression. So option B will give us the correct count of rows with a null list_price.

NEW QUESTION # 204
See the Exhibit and examine the structure of the PROMOTIONS table:

Using the PROMOTIONS table,
you need to find out the average cost for all promos in the range $0-2000 and $2000-5000 in category A.
You issue the following SQL statements:

What would be the outcome?

• A. It generates an error because multiple conditions cannot be specified for the WHEN clause.
• B. It executes successfully and gives the required result.
• C. It generates an error because CASE cannot be used with group functions.
• D. It generates an error because NULL cannot be specified as a return value.

Answer: B

Explanation:
Explanation
CASE Expression
Facilitates conditional inquiries by doing the work of an IF-THEN-ELSE statement:
CASE expr WHEN comparison_expr1 THEN return_expr1
[WHEN comparison_expr2 THEN return_expr2
WHEN comparison_exprn THEN return_exprn
ELSE else_expr]
END

NEW QUESTION # 205
Which two are true about transactions In the Oracle Database?

• A. A DDL statement Issued by a session with an uncommitted transaction automatically commits that transaction.
• B. DDL statements automatically commit only data dictionary updates caused by executing the DDL
• C. DML statements always start new transactions.
• D. A session can see uncommitted updates made by the same user In a different session.
• E. An uncommitted transaction Is automatically committed when the user exits SQ1 -Plus.

Answer: D,E

NEW QUESTION # 206
Examine the structure of the EMPLOYEEStable:

There is a parent/child relationship between EMPLOYEE_IDand MANAGER_ID.
You want to display the name, joining date, and manager for all employees. Newly hired employees are yet to be assigned a department or a manager. For them, 'No Manager' should be displayed in the MANAGERcolumn.
Which SQL query gets the required output?
SELECT e.last_name, e.hire_date, NVL(m.last_name, 'No Manager') Manager

• A. FROM employees e LEFT OUTER JOIN employees m
  ON (e.manager_id = m.employee_id);
  SELECT e.last_name, e.hire_date, NVL(m.last_name, 'No Manager') Manager
• B. FROM employees e RIGHT OUTER JOIN employees m
  ON (e.manager_id = m.employee_id);
  SELECT e.last_name, e.hire_date, NVL(m.last_name, 'No Manager') Manager
• C. FROM employees e NATURAL JOIN employees m
  ON (e.manager_id = m.employee_id).
• D. FROM employees e JOIN employees m
  ON (e.manager_id = m.employee_id);
  SELECT e.last_name, e.hire_date, NVL(m.last_name, 'No Manager') Manager

Answer: A

NEW QUESTION # 207
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