Best Python Database Interview Questions Multiple Choice. We covered all the Best Python Database Interview Questions Multiple Choice in this post for free so that you can practice well for the exam.
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Best Python Database Interview Questions Multiple Choice for Students
What is the correct way to load the output of an SQL query into a pandas DataFrame in Python?
a. Export the results to a CSV file and then load it with pandas
b. Use the pd.read_sql_query() function
c. Call the to_dataframe() method on the database object
d. Convert the results to JSON and then load them into pandas
Option b – Use the pd.read_sql_query() function
Which function is used to save changes made to an SQL database using Python?
a. commit()
b. save()
c. update()
d. execute()
Option a – commit()
What is a common way to manage errors during SQL query execution in Python?
a. Surround the code with a try-except block
b. Use an if statement to detect errors
c. Wrap the code in a finally block
d. All of the above
Option d – All of the above
Which of the following is not necessary when setting up a connection between Python and an SQL database?
a. Importing the required libraries
b. Creating a connection to the database
c. Writing and running SQL commands
d. Building a graphical interface
Option d – Building a graphical interface
What role does a schema play in a database?
a. It acts as a data storage area
b. It helps control access to the database
c. It outlines how data is structured and organized
d. It boosts performance efficiency
Option c – It outlines how data is structured and organized
If you want to get only a limited number of rows from an SQL result in Python, what should you do?
a. Add a LIMIT clause in the SQL query
b. Use the SELECT TOP keyword in the SQL statement
c. Call the fetchone() function
d. Use fetchmany() to limit the results
Option a – Add a LIMIT clause in the SQL query
Which of these is a free and widely-used SQL database for Python projects?
a. Oracle Database
b. Microsoft SQL Server
c. SQLite
d. IBM Db2
Option c – SQLite
Is it possible to connect to a database in Python without a username and password?
a. True
b. False
Option b – False
How can you avoid a timeout during the execution of long SQL queries in Python?
a. Set a higher timeout value in the connection settings
b. Use a context manager to automatically handle disconnections
c. Display a progress bar to track query status
d. Apply asynchronous techniques
Option a – Set a higher timeout value in the connection settings
When should you use a database cursor in Python?
a. For reading records from the database
b. For inserting or updating data
c. For executing any SQL command
d. In all of the above cases
Option d – In all of the above cases
What is the function of a transaction in Python-based SQL operations?
a. To maintain the accuracy of data
b. To block multiple users from accessing the data simultaneously
c. To enhance execution speed
d. All of the above
Option a – To maintain the accuracy of data
What is the correct syntax for fetching the first row from an SQL query result using Python?
a. cursorfetchone()
b. fetchone(cursor)
c. cursor.fetchone()
d. fetchone(cursor.execute())
Option a – cursorfetchone()
What is a way to run a stored procedure in an SQL database using Python?
a. Execute it using the cursor.execute() method
b. Define it using CREATE PROCEDURE in SQL
c. Write and run it entirely in Python
d. Use the SQL CALL command
Option d – Use the SQL CALL command
How can parameters be safely included in an SQL query when using psycopg2 in Python?
a. By directly inserting variables into the string
b. By using placeholders in the query
c. By combining strings manually
d. By applying Jos syntax
Option b – By using placeholders in the query
Which function is typically used in Python to create a table in an SQL database?
a. create_table()
b. table.create()
c. cursor.execute()
d. db.execute()
Option c – cursor.execute()
What is the correct way to handle transactions in Python when working with an SQL database?
a. Wrap database logic in try-except blocks
b. Use commit() to save and rollback() to undo changes
c. Add logging for debugging purposes
d. All of the above
Option b – Use commit() to save and rollback() to undo changes
Is it possible to connect to an SQL database in Python by using a connection string?
a. True
b. False
Option a – True
When establishing a database connection in Python, which error is commonly encountered?
a. OSError
b. SyntaxError
c. DatabaseError
d. ValueError
Option c – DatabaseError
How can you access information about the columns of a database table in Python?
a. Send a query using cursor.execute()
b. Read the cursor.description property
c. Call the show() method
d. Use the fetchmetadata() function
Option b – Read the cursor.description property
Why is a database driver necessary when using Python to access an SQL database?
a. It handles the connection process
b. It converts Python commands into SQL
c. It ensures consistent interaction across databases
d. All of the above
Option d – All of the above
What is the best way to ensure a database connection is closed automatically after running queries in Python?
a. Use a with block as a context manager
b. Explicitly call the close() method
c. Use contextlib.close() from the contextlib module
d. Use a try-finally block to close it manually
Option a – Use a with block as a context manager
What Python method can help determine how many rows were affected by an SQL operation?
a. Access the rowcount attribute from the cursor
b. Use the fetch_count() method
c. Use the count() method
d. Run a SELECT COUNT() SQL query
Option a – Access the rowcount attribute from the cursor
What is one major advantage of using an ORM (Object Relational Mapper) with SQL databases in Python?
a. Easier interaction with databases
b. Improved speed of queries
c. Increased protection of data
d. All of the above
Option a – Easier interaction with databases
How can you modify an existing record in an SQLite table using Python?
a. cursor.execute("UPDATE users SET age=30 WHERE name='John'")
b. cursor.update_row("users", "John", 30)
c. cursor.update("users", "age", 30)
d. connection.query("UPDATE users SET age=30 WHERE name='John'")
Option a – cursor.execute(“UPDATE users SET age=30 WHERE name=’John'”)
What does the following Python command achieve?
cursor.execute("SELECT COUNT(*) FROM users")
a. Counts the total number of entries in the users table
b. Adds a new record to the users table
c. Clears all data from the users table
d. Makes changes to the users table
Option a – Counts the total number of entries in the users table
Which method is used to save modifications to an SQLite database using Python?
a. cursor.commit()
b. connection.commit()
c. connection.save()
d. cursor.save()
Option b – connection.commit()
What is the function of this command?
cursor.execute("PRAGMA table_info(users)")
a. Retrieves every record from the users table
b. Inserts a new entry into the users table
c. Displays metadata about the columns of the users table
d. Alters the structure of the users table
Option c – Displays metadata about the columns of the users table
What is the correct way to manage exceptions while using SQLite in Python?
a. Implement try-except blocks
b. Use if-else conditions
c. Write assert statements
d. Create while loops
Option a – Implement try-except blocks
What action does the following line perform?
connection.close()
a. Starts a new database connection
b. Ends the existing database connection
c. Writes all changes to the database
d. Retrieves records from the database
Option b – Ends the existing database connection
How would you create an index on a table column using Python and SQLite?
a. cursor.create_index("users", "name")
b. cursor.execute("CREATE INDEX idx_name ON users(name)")
c. connection.create_index("users", "name")
d. connection.execute("CREATE INDEX idx_name ON users(name)")
Option b – cursor.execute(“CREATE INDEX idx_name ON users(name)”)
What does this command enable?
cursor.execute("PRAGMA foreign_keys = ON")
a. Activates enforcement of foreign key rules
b. Disables foreign key enforcement
c. Adds a foreign key reference to a table
d. Lists foreign key settings in the database
Option a – Activates enforcement of foreign key rules
Which method initiates transaction handling in SQLite with Python?
a. Call the commit() function
b. Use the rollback() function
c. Execute the begin_transaction() method
d. Wrap actions inside a transaction() context manager
Option d – Wrap actions inside a transaction() context manager
What is the output of running this statement?
cursor.execute("SELECT * FROM users ORDER BY name DESC")
a. Returns every row from the users table
b. Inserts a new row into the users table
c. Updates specific entries in the users table
d. Gets all rows sorted by the name field in reverse order
Option d – Gets all rows sorted by the name field in reverse order
What is the correct way to define a view from a table in Python with SQLite?
a. cursor.add_view("users_view", "SELECT * FROM users")
b. cursor.execute("CREATE VIEW users_view AS SELECT * FROM users")
c. connection.create_view("users_view", "SELECT * FROM users")
d. cursor.view("users_view", "SELECT * FROM users")
Option b – cursor.execute(“CREATE VIEW users_view AS SELECT * FROM users”)
What does this Python command do?
cursor.execute("ALTER TABLE users ADD COLUMN email VARCHAR(50)")
a. Appends a new column named email to the users table
b. Modifies data within the users table
c. Removes the users table from the database
d. Adds a new entry into the users table
Option a – Appends a new column named email to the users table
How can you determine if a specific table exists in an SQLite database using Python?
a. Use the EXISTS TABLE syntax
b. Use the PRAGMA table_info() function
c. Use the SHOW TABLES command
d. Use the IF EXISTS condition
Option c – Use the SHOW TABLES command
What is achieved by running this Python command?
cursor.execute("CREATE INDEX IF NOT EXISTS idx_name ON users(name)")
a. Builds a new index on the name field if it’s not already present
b. Alters the current index on the name field
c. Deletes the existing name index
d. Extracts records from the users table
Option a – Builds a new index on the name field if it’s not already present
Which method is used to list all tables in an SQLite database using Python?
a. Execute the PRAGMA tableinfo() command
b. Use the SHOW TABLES command
c. Call the tables() function
d. Run the PRAGMA table_list() command
Option d – Run the PRAGMA table_list() command
What effect does this Python command have on the database?
cursor.execute("UPDATE users SET age = age + 1")
a. Increases the age field value for all users by one
b. Retrieves all user records from the table
c. Inserts a new user record into the table
d. Deletes the users table
Option a – Increases the age field value for all users by one
How can you list all columns in a specific SQLite table using Python?
a. Run PRAGMA column_info()
b. Use the SHOW COLUMNS command
c. Call the columns() function
d. Run PRAGMA table info()
Option d – Run PRAGMA table info()
What does this Python command do with the database data?
cursor.execute("SELECT * FROM users INNER JOIN addresses ON users.id = addresses.user_id")
a. Retrieves combined rows from users and addresses where IDs match
b. Adds a new row to the addresses table
c. Updates entries in both users and addresses
d. Deletes data from the users table
Option a – Retrieves combined rows from users and addresses where IDs match
Which command helps you find out the version of SQLite via Python?
a. Run PRAGMA version()
b. Use SHOW VERSION command
c. Call version() method
d. Execute PRAGMA database_list()
Option a – Run PRAGMA version()
What does this SQL command in Python do?
cursor.execute("ALTER TABLE users RENAME TO customers")
a. Changes the name of the users table to customers
b. Creates a new table named customers
c. Alters the structure of the users table
d. Deletes the users table
Option a – Changes the name of the users table to customers
How can you list all indices from an SQLite database using Python?
a. Execute PRAGMA index_list()
b. Use the SHOW INDEXES command
c. Call indices() function
d. Run PRAGMA index_info()`
Option a – Execute PRAGMA index_list()
Which statement best describes an ObjectId in MongoDB?
a. It serves as a unique ID for each document within a collection
b. MongoDB assigns it automatically when a new document is added
c. It consists of 24 characters in hexadecimal format
d. All of the above
Option d – All of the above
What is the correct way to add a document to a MongoDB collection using Python?
a. By calling the insert_one() function
b. By using the add() method
c. By using the create_document() method
d. By using the insert() method
Option a – By calling the insert_one() function
Which method allows you to retrieve documents from a MongoDB collection in Python?
a. find()
b. search()
c. query()
d. select()
Option a – find()
What does the term “aggregation” refer to in MongoDB?
a. Merging different collections together
b. Organizing and analyzing data within a collection
c. Creating indexes to improve search speed
d. None of the above
Option b – Organizing and analyzing data within a collection
Which option is not a valid stage in MongoDB’s aggregation pipeline?
a. group
b. sort
c. match
d. select
Option d – select
What function is used in Python to change a document in MongoDB?
a. update()
b. modify()
c. patch()
d. update_one()
Option d – update_one()
Why are indexes used in MongoDB?
a. To enhance the speed of data lookups
b. To build relationships between separate collections
c. To reduce the storage size of data
d. None of the above
Option a – To enhance the speed of data lookups
What is the correct way to remove a document from a MongoDB collection using Python?
a. delete_one()
b. remove()
c. drop()
d. destroy()
Option a – delete_one()
What role does GridFS play in MongoDB?
a. It’s a storage method designed for handling very large files
b. It’s a format used to build indexes
c. It’s used to encrypt data in a document
d. None of the above
Option a – It’s a storage method designed for handling very large files
How do you create an index on a specific field in MongoDB using Python?
a. index_one()
b. create_index()
c. add_index()
d. set_index()
Option b – create_index()
What is meant by “sharding” in MongoDB?
a. Distributing data across several machines
b. Structuring data groups within a collection
c. Ordering data in a specific pattern
d. None of the above
Option a – Distributing data across several machines
What method do you use to delete an index from a MongoDB collection via Python?
a. drop_index()
b. remove_index()
c. delete_index()
d. drop()
Option a – drop_index()
What best defines a replica set in MongoDB?
a. A method for combining collections
b. A cluster of MongoDB servers that hold the same dataset for redundancy
c. A system for reducing the size of stored data
d. None of the above
Option b – A cluster of MongoDB servers that hold the same dataset for redundancy
What is the function of the $facet operator in MongoDB?
a. To organize and process data within a collection
b. To build a facet-based index on a particular field
c. To arrange data records in a specific order
d. None of these
Option a – To organize and process data within a collection
Which method allows performing a full-text search on a MongoDB collection using Python?
a. Utilizing the full_text_search() function
b. Using the search() method with the $text operator
c. Calling the find_text() function
d. Employing the text_search() method
Option b – Using the search() method with the $text operator
What role does the $redact operator play in MongoDB?
a. To remove confidential data from query results
b. To aggregate and manage data in a collection
c. To selectively filter data entries
d. None of these
Option a – To remove confidential data from query results
How can you create a sparse index on a MongoDB field using Python?
a. By calling the create_sparseindex() method
b. Through the sparse() function
c. Using the create_index() method with the sparse option enabled
d. Via the set_sparse_index() method
Option c – Using the create_index() method with the sparse option enabled
What is the purpose of the $map operator in MongoDB?
a. To transform each item within an array based on an expression
b. To group data records within a collection
c. To filter elements inside an array field
d. None of these
Option a – To transform each item within an array based on an expression
How do you generate a text index on several fields in MongoDB using Python?
a. By using the create_text_index() function
b. Through the text_index() method
c. By applying the create_index() method with the text option enabled
d. Using the set_text_index() function
Option c – By applying the create_index() method with the text option enabled
What does the $out operator do in MongoDB?
a. Sends the results of an aggregation pipeline to a new collection
b. Collects and processes data from a collection
c. Orders data based on specified criteria
d. None of these
Option a – Sends the results of an aggregation pipeline to a new collection
Which method creates a 2d spatial index on a MongoDB field with Python?
a. Calling the create_2d_index() method
b. Using the 2d_index() function
c. Using the create_index() method with the 2d option set
d. Calling the set_2d_index() method
Option c – Using the create_index() method with the 2d option set
What is the function of the $mod operator in MongoDB?
a. To perform modulo calculations on collection values
b. To aggregate and handle data in a collection
c. To filter data by applying a modulo condition
d. None of these
Option a – To perform modulo calculations on collection values
How do you create a hashed index on a MongoDB field using Python?
a. By invoking the create_hashed_index() method
b. Through the hashed_index() function
c. Using the create_index() method with the hashed option enabled
d. Via the set_hashed_index() method
Option c – Using the create_index() method with the hashed option enabled
What does the $bucket operator accomplish in MongoDB?
a. Categorizes data into groups based on defined ranges or expressions
b. Aggregates and processes data in a collection
c. Filters documents within a collection
d. None of these
Option a – Categorizes data into groups based on defined ranges or expressions
How can you create a 2dsphere index on a MongoDB field using Python?
a. Using the create_2dsphere_index() method
b. Calling the 2dsphere_index() function
c. Using the create_index() method with the 2dsphere option enabled
d. Using the set_2dsphere_index() function
Option c – Using the create_index() method with the 2dsphere option enabled
We covered all the Best Python Database Interview Questions Multiple Choice for Students above in this post for free so that you can practice well for the exam.
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