How do you implement a REST API in Node.js with Express?

const express = require("express");
const app = express();
const port = 3000;

app.get("/api/data", (req, res) => {
res.json({ message: "Hello, World!" });
});

app.listen(port, () => {
console.log(`Server running on http://localhost:${port}`);
});

What is a lambda function in Python?

square = lambda x: x * x
print(square(5))

Which is the correct operation to fix violations in the Red-Black Tree after node deletion?

In Python, what output can you expect with time.time()

____ is considered a type of artificial intelligence agent.

How does React's Context API work, and how can it be used to manage global state?

import React, { createContext, useContext, useState } from "react";

const MyContext = createContext();

function ProviderComponent({ children }) {
const [state, setState] = useState("Hello, World!");

return (
<MyContext.Provider value={{ state, setState }}>
{children}
</MyContext.Provider>
);
}

function ChildComponent() {
const { state } = useContext(MyContext);
return <p>{state}</p>;
}

Linear regression models are preferable for

How can you optimize a SQL query for large datasets?

What is the purpose of the useEffect hook in React?

import React, { useState, useEffect } from "react";

function Timer() {
const [count, setCount] = useState(0);

useEffect(() => {
const interval = setInterval(() => {
setCount((prevCount) => prevCount + 1);
}, 1000);

return () => clearInterval(interval);
}, []);

return <p>Count: {count}</p>;
}

____ is the informed search method.

____ was originally called ‘the Imitation game’.

Under which rule does Procedural Domain Knowledge fit when considering a rule-based system?

How do you implement an API request in Python using requests?

import requests

response = requests.get("https://jsonplaceholder.typicode.com/posts/1")
if response.status_code == 200:
print(response.json())

From the following, choose the evaluation metric commonly used for classification tasks in the presence of class imbalance.

How do you implement a basic machine learning model using Python and scikit-learn?

from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import load_iris

# Load dataset
data = load_iris()
X_train, X_test, y_train, y_test = train_test_split(data.data, data.target, test_size=0.2, random_state=42)

# Train model
model = LogisticRegression()
model.fit(X_train, y_train)

# Evaluate
accuracy = model.score(X_test, y_test)
print(f"Model Accuracy: {accuracy:.2f}")

Decisions of Victory/Defeat are made in Game trees using which algorithm?

Which of these is not the Meta Character of Regex in data analytics?

What is the purpose of data munging?

What is the output of the following Pandas operation?

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df['C'] = df['A'] + df['B']
print(df)

How do you establish a connection to MongoDB using Mongoose?

const mongoose = require("mongoose");

mongoose.connect("mongodb://localhost:27017/myDatabase", {
useNewUrlParser: true,
useUnifiedTopology: true,
})
.then(() => console.log("Connected to MongoDB"))
.catch((err) => console.error("Error connecting to MongoDB", err));

What is the time complexity of searching an element in a balanced Binary Search Tree (BST)?

What will be the output of the following Java code?

class Test {
public static void main(String args[]) {
int x = 5;
System.out.println(x++ + ++x);
}
}

What does the following Python code do?

from sklearn.linear_model import LinearRegression
import numpy as np

X = np.array([[1], [2], [3], [4]])
y = np.array([2, 4, 6, 8])

model = LinearRegression()
model.fit(X, y)
print(model.predict([[5]]))

How do you implement a binary search tree (BST) in C++?

#include <iostream>
using namespace std;

class Node {
public:
int data;
Node* left;
Node* right;

Node(int value) {
data = value;
left = right = NULL;
}
};

class BST {
public:
Node* insert(Node* root, int value) {
if (!root) return new Node(value);
if (value < root->data) root->left = insert(root->left, value);
else root->right = insert(root->right, value);
return root;
}

void inorder(Node* root) {
if (!root) return;
inorder(root->left);
cout << root->data << " ";
inorder(root->right);
}
};

int main() {
BST tree;
Node* root = NULL;
root = tree.insert(root, 50);
tree.insert(root, 30);
tree.insert(root, 70);
tree.insert(root, 20);
tree.insert(root, 40);
tree.insert(root, 60);
tree.insert(root, 80);

tree.inorder(root);
return 0;
}

How do you implement multi-threading in Java?

class MyThread extends Thread {
public void run() {
System.out.println("Thread is running...");
}

public static void main(String[] args) {
MyThread t1 = new MyThread();
t1.start();
}
}

What is the output of the following C++ code?

#include <iostream>
using namespace std;

void func(int &x) {
x += 5;
}

int main() {
int a = 10;
func(a);
cout << a;
return 0;
}

What is memoization in dynamic programming?

def fib(n, memo={}):
if n in memo:
return memo[n]
if n <= 2:
return 1
memo[n] = fib(n-1, memo) + fib(n-2, memo)
return memo[n]

print(fib(10))

 What do you understand by K in the k-Mean algorithm?

Select the commonly used algorithm in data science regression

How does TypeScript improve JavaScript development?

What is the critical factor in choosing an appropriate node during tree construction?

In which library will you find class() in R programming language?

 AI agent can interact with its environment by using ____.

How does backpropagation work in a neural network?

import numpy as np

def sigmoid(x):
return 1 / (1 + np.exp(-x))

# Forward pass
X = np.array([0.5, 0.3]) # Input
W = np.array([0.2, 0.4]) # Weights
y_true = 1 # True output

z = np.dot(X, W) # Weighted sum
y_pred = sigmoid(z) # Activation function

# Backpropagation (gradient descent)
learning_rate = 0.01
error = y_true - y_pred
gradient = error * y_pred * (1 - y_pred)
W += learning_rate * gradient * X

____ is a component of AI.

What is the difference between PCA and t-SNE in machine learning?

Identify among the options which is not a core data type

What will be the consequence of the wrong choice of learning rate value in gradient descent?

On which approach the face recognition system is based?

What do you understand by ‘Naive’ in Naive Bayes?

What is an LSTM, and how does it improve over a standard RNN?

How can we optimize performance in a React application?

Which of these functions is not suitable for importing csv files in R?

What is the role of MongoDB in the MERN stack?

In how many ways can you analyze data in Data Science?

Which data analysis is concerned with steps and actions to be taken in the future to obtain a specific outcome?

What is the correct way to connect MongoDB with a Node.js application using Mongoose?

const mongoose = require('mongoose');

mongoose.connect('mongodb://localhost:27017/mydb', {
useNewUrlParser: true,
useUnifiedTopology: true
})
.then(() => console.log('Database connected'))
.catch(err => console.error(err));

Which is preferable for text analysis among Python and R?

1. Python, quick storing
2. R, quick sorting
3. Python, high-performance data
4. R, high-performance data

In a React application, what is the correct way to pass props from a parent component to a child component?

function Parent() {
return <Child name="John" age={30} />;
}

function Child(props) {
return <h1>{props.name} is {props.age} years old.</h1>;
}

What is the difference between supervised and unsupervised learning?