In a ____, each node contains a reference to the next node in the sequence.
- Array
- Linked List
- Queue
- Stack
A Linked List is a data structure in which each node contains a reference to the next node. This makes it a suitable choice for dynamic data structures where elements can be easily added or removed at any position.
In a binary tree, a node with no children is called a _____.
- Branch node
- Leaf node
- Root node
- Traversal
In a binary tree, a node with no children is called a "leaf node." Leaf nodes are the endpoints of the tree and have no child nodes. They are essential in various tree operations and algorithms.
In a Flask application, you are required to implement user authentication. How would you securely manage user passwords?
- Hash and salt user passwords before storage
- Store passwords in plain text for easy retrieval
- Transmit passwords in HTTP headers for convenience
- Use symmetric encryption for password storage
Securely managing user passwords in Flask involves hashing and salting them before storage. This ensures that even if the database is compromised, attackers can't easily recover passwords.
In algorithm analysis, ____ denotes the upper bound of the running time of an algorithm.
- Big-O
- O-notation
- Θ-notation
- Ω-notation
In algorithm analysis, Big-O notation (often represented as O-notation) denotes the upper bound of the running time of an algorithm. It provides an upper limit on how the algorithm's runtime scales with input size.
In deep learning models built using TensorFlow or PyTorch, the ____ method is used to update the model parameters based on the computed gradients.
- backward
- fit
- optimize
- predict
In deep learning frameworks like TensorFlow or PyTorch, the optimize method (or optimizer) is used to update the model parameters (weights) based on the computed gradients during training. This step is a crucial part of the training process as it helps the model learn from the data.
How would you create a decorator to measure the execution time of a function?
- By adding timestamps manually at the beginning and end of the function.
- By using the @timer decorator.
- By wrapping the function with timeit module functions.
- Python does not support measuring execution time with decorators.
You can create a decorator to measure execution time by adding timestamps manually at the start and end of the function, then calculating the time elapsed. This allows you to track how long a function takes to execute.
How would you create an instance of a metaclass in Python?
- Metaclasses are instantiated automatically when you define a class.
- Use the create_metaclass_instance() function.
- Use the metainstance() method.
- You cannot create an instance of a metaclass.
In Python, you typically do not create instances of metaclasses directly. Metaclasses are instantiated automatically when you create a new class by inheriting from them. Attempting to create an instance of a metaclass directly is not a common practice.
How would you define a class variable that is shared among all instances of a class in Python?
- As a global variable outside the class
- As a local variable inside a method
- Inside the constructor method using self
- Outside of any method at the class level
In Python, you define a class variable outside of any method, directly within the class, and it is shared among all instances of the class. It is accessible as ClassName.variable_name.
How would you define a function in Python that takes no parameters and has no return statement?
- def my_function():
- def my_function(None):
- def my_function(param1, param2):
- def my_function(void):
In Python, you define a function using the def keyword, followed by the function name and parentheses, even if it takes no parameters. For a function with no return statement, it implicitly returns None.
How would you deploy a Django application to a production environment, considering scalability and security?
- Deploy the Django application without a reverse proxy. Implement security measures within Django views and models. Use a basic firewall.
- Host the application on a shared hosting platform. Use self-signed certificates for SSL/TLS. Deploy only a single server instance. Enable root access for easier management.
- Use a single server with Docker containers for isolation. Disable SSL/TLS for faster performance.
- Use a web server like Nginx or Apache as a reverse proxy in front of Gunicorn or uWSGI. Implement SSL/TLS for secure communication. Utilize a load balancer to distribute traffic across multiple server instances. Harden the server by following security best practices.
Deploying a Django application for production involves multiple steps, including setting up a reverse proxy, securing communications with SSL/TLS, load balancing for scalability, and following security best practices.