55 Quantium Interview Questions and Answers | HR, Technical & Aptitude Prep

20 common asked question in every interview

Data Analytics

Ques:- What is classification analysis and how does it work

Asked In :- Unyscape Infocom Pvt. Ltd., Xoriant Solutions Pvt Ltd, Fluid AI, Queppelin Technology Solutions, MattsenKumar Services, Protege Solutions, STIC SOFT E-SOLUTIONS, Toxsl Technologies, TNQ Technologies, Oodles Technologies,

Right Answer:
Classification analysis is a data analysis technique used to categorize data into predefined classes or groups. It works by using algorithms to learn from a training dataset, where the outcomes are known, and then applying this learned model to classify new, unseen data based on its features. Common algorithms include decision trees, logistic regression, and support vector machines.

Data Analytics

Ques:- What is a pivot table and how do you use it in Excel or other tools

Asked In :- Xoriant Solutions Pvt Ltd, Fluid AI, Hidden Brains InfoTech, WSNE Consulting, Netaxis IT Solutions (p), MattsenKumar Services, Protege Solutions, Trigent Software, iROID Technologies, TRICON INFOTECH PVT,

Right Answer:
A pivot table is a data processing tool that summarizes and analyzes data in a spreadsheet, like Excel. You use it by selecting your data range, then inserting a pivot table, and dragging fields into rows, columns, values, and filters to organize and summarize the data as needed.

Data Analytics

Ques:- What is regression analysis and when is it used

Asked In :- Xoriant Solutions Pvt Ltd, Hidden Brains InfoTech, STIC SOFT E-SOLUTIONS, Fortunesoft IT Innovations, iROID Technologies, Dhruvsoft Services, Clear Trail Technologies, MatchMove India, Radicle Software, Spectra Medix India,

Right Answer:
Regression analysis is a statistical method used to examine the relationship between one dependent variable and one or more independent variables. It is used to predict outcomes, identify trends, and understand the strength of relationships in data.

Data Analytics

Ques:- What are the different types of data distributions

Asked In :- Medvarsity Online, Queppelin Technology Solutions, Shipco IT, Chegg India, Itobuz Technologies, Fortunesoft IT Innovations, RANDSTAD INDIA PVT, iROID Technologies, TRICON INFOTECH PVT, Razorpay-Startup,

Right Answer:
The different types of data distributions include:

1. Normal Distribution
2. Binomial Distribution
3. Poisson Distribution
4. Uniform Distribution
5. Exponential Distribution
6. Log-Normal Distribution
7. Geometric Distribution
8. Beta Distribution
9. Chi-Squared Distribution
10. Student's t-Distribution

Data Analytics

Ques:- How do you handle missing data in a dataset

Asked In :- Rock Solid Solutions, Protege Solutions, Ziffity Solutions, Toxsl Technologies, Cybage Software, WFM, Oodles Technologies, Sun Dew Solutions, Startup - Navya Network, LenDenClub,

Right Answer:
To handle missing data in a dataset, you can use the following methods:

1. **Remove Rows/Columns**: Delete rows or columns with missing values if they are not significant.
2. **Imputation**: Fill in missing values using techniques like mean, median, mode, or more advanced methods like KNN or regression.
3. **Flagging**: Create a new column to indicate missing values for analysis.
4. **Predictive Modeling**: Use algorithms to predict and fill in missing values based on other data.
5. **Leave as Is**: In some cases, you may choose to leave missing values if they are meaningful for analysis.

Database Architect/ Designer SQL Server

Ques:- How to remove duplicate records from a table?

Asked In :- Sardonyx Technologies, rapidera technologies, Valued Epistemics, Pi Techniques, PrimeSoft Solutions, District Cooperative Central Bank DCCB, Qseap Technologies, JustDial, Tower Research Capital LLC, AMI Tech India,

Right Answer:
To remove duplicate records from a table in SQL Server, you can use a Common Table Expression (CTE) with the `ROW_NUMBER()` function. Here’s an example query:

```sql
WITH CTE AS (
SELECT *,
ROW_NUMBER() OVER (PARTITION BY column1, column2 ORDER BY (SELECT NULL)) AS rn
FROM your_table
)
DELETE FROM CTE WHERE rn > 1;
```

Replace `column1`, `column2` with the columns that define duplicates, and `your_table` with the name of your table.

SQL Server

Ques:- What command do we use to rename a db?

Asked In :- Valued Epistemics, UCA, Smart Serve Infotech, Prodapt SA, InSync Analytics, BluePi, Nichi-In Software Solutions, Nalsoft, Embibe, Konnect Insights,

C JAVA Software Developer/ Programmer sql

Ques:- What is syntel ltd ?

Asked In :- Rits Software, SRS Business Solutions (India), KLA Tencor Software India, Nippon Data Systems, DataCore, SSA, Statestreet HCL Services, C-Edge Technologies, Microverse Automation, InvestoSure,

SQL Server

Ques:- From where can you change the default port?

Asked In :- Sysfore Technologies, Cloud Assert, GOMO Group AB, Amtex Software Solutions, Attra Infotech, Mind Infotech, SSA, Siemens Healthineers, Iprimed Education Solutions, 3clogic,

Django Python

Ques:- How to Create APIs in Django ?

Asked In :- EdgeVerve Systems, Angular Minds, sciative, OSI Digital, Abzooba India Infotech, Vofox Solutions, Polestar Solutions, Softpal, ITGalax Solutions, Adaequare Info Pvt Ltd,

Right Answer:
To create APIs in Django, you can use Django REST Framework (DRF). Here are the steps:

1. **Install Django REST Framework**:
```bash
pip install djangorestframework
```

2. **Add 'rest_framework' to your `INSTALLED_APPS` in `settings.py`**:
```python
INSTALLED_APPS = [
...
'rest_framework',
]
```

3. **Create a Django model** (if you don't have one):
```python
from django.db import models

class Item(models.Model):
name = models.CharField(max_length=100)
description = models.TextField()
```

4. **Create a serializer for the model**:
```python
from rest_framework import serializers

class ItemSerializer(serializers.ModelSerializer):
class Meta:
model = Item
fields = '__all__'
```

5. **Create views for

Django Python

Ques:- What is the purpose pass statement in python ?

Asked In :- BluePi, Fare Labs, Whitesnow Software Consultancy Pune, Zerone Technologies, copart, loyola college, quantium, changepond technologies, improbable, jfrog,

Right Answer:
The `pass` statement in Python is used as a placeholder in situations where syntactically some code is required but you do not want to execute any code. It allows you to create empty functions, classes, or loops without causing an error.

Python

Ques:- What is a negative index in python?

Asked In :- Digital Nirvana Information Systems (I), TetraSoft, Azuga, ThinkBridge, Addverb Technologies, Enthuons, Netcon Technologies, Provakil Technologies, MSys Training, micron technology,

Comments

Admin May 17, 2020

Python arrays & list items can be accessed with positive or negative numbers (also known as index).
For instance our array/list is of size n, then for positive index 0 is the first index, 1 second, last index will be n-1. For negative index, -n is the first index, -(n-1) second, last negative index will be â€“ 1.
A negative index accesses elements from the end of the list counting backwards.
An example to show negative index in python
>>> import array
>>> a= [1, 2, 3]
>>> print a[-3]
1
>>> print a[-2]
2
>>> print a[-1]
3

Python

Ques:- What are the steps required to make a script executable on Unix?

Asked In :- toobler technologies, Innominds Software (P), Leeway Hertz, Cybrosys Technologies, Azuga, Proton Expert Systems & Solutions, SmartPoint Technologies, Pocket Pill, enArka, Synapse Labs,

Comments

Admin May 17, 2020

The steps that are required to make a script executable are to:
â€¢ First create a script file and write the code that has to be executed in it.
â€¢ Make the file mode as executable by making the first line starts with #! this is the line that python interpreter reads.
â€¢ Set the permission for the file by using chmod +x file. The file uses the line that is the most important line to be used:
#!/usr/local/bin/python
â€¢ This explains the pathname that is given to the python interpreter and it is independent of the environment programs.
â€¢ Absolute pathname should be included so that the interpreter can interpret and execute the code accordingly. The sample code that is written:
#! /bin/sh
# Write your code here
exec python $0 ${1+"$@"}
# Write the function that need to be included.

Django Python

Ques:- How to create simple application in django ?

Asked In :- Aakit Technologies, Talent Smart Soft Solutions (OPC), Nagarro Software, Bristlecone India, Aretove Technologies, Enthuons, HeapTrace, Princeton Blue, The Daffodil, Reliance Jio,

Right Answer:
1. Install Django: `pip install django`
2. Create a new project: `django-admin startproject myproject`
3. Navigate to the project directory: `cd myproject`
4. Create a new app: `python manage.py startapp myapp`
5. Add the app to `INSTALLED_APPS` in `settings.py`: `myapp`
6. Create a view in `myapp/views.py`:
```python
from django.http import HttpResponse

def home(request):
return HttpResponse("Hello, Django!")
```
7. Set up a URL route in `myapp/urls.py`:
```python
from django.urls import path
from .views import home

urlpatterns = [
path('', home, name='home'),
]
```
8. Include the app's URLs in the project's `urls.py`:
```python
from django.contrib import admin
from django.urls import include,

R-programming

Ques:- What are the applications of R?

Asked In :- quantium,

Right Answer:
R is used for statistical analysis, data visualization, data mining, machine learning, bioinformatics, financial modeling, and academic research.

R-programming

Ques:- Write a function in R language to replace the missing value in a vector with the mean of that vector?

Asked In :- Perceptive Analytics, elsevier, quantium,

Right Answer:
```R
replace_na_with_mean <- function(vec) {
mean_value <- mean(vec, na.rm = TRUE)
vec[is.na(vec)] <- mean_value
return(vec)
}
```

R-programming

Ques:- How many types of functions are there in R string manipulation?

Asked In :- quantium, minitab,

Right Answer:
There are three main types of functions for string manipulation in R: **string creation functions**, **string extraction functions**, and **string modification functions**.

R-programming

Ques:- What do you understand by scientific data visualization in R?

Asked In :- Dynata, quantium, transorg analytics, the genome analysis centre,

Right Answer:
Scientific data visualization in R refers to the use of graphical representations to explore, analyze, and communicate data findings effectively. It involves creating plots, charts, and graphs using R packages like ggplot2, lattice, or base R graphics to illustrate patterns, trends, and relationships in scientific data.

R-programming

Ques:- How can we create a table using R language without using external files?

Asked In :- quantium,

Right Answer:
You can create a table in R using the `data.frame()` function. Here’s an example:

```R
my_table <- data.frame(
Column1 = c(1, 2, 3),
Column2 = c("A", "B", "C"),
Column3 = c(TRUE, FALSE, TRUE)
)
```

This creates a table with three columns and three rows.

Business Analysis

Ques:- About database related

Asked In :- MattsenKumar Services, Protege Solutions, Webvillee Technology, SmartData Enterprises, Adnate IT Solutions, Happiest Minds Technologies Pvt., COEPD, Noesys Consulting, Promact Infotech, scandid,

Right Answer:
Could you please specify the exact question related to databases?

Quantium is a pioneering Australian-based data analytics and artificial intelligence company that has made significant strides in revolutionizing how businesses harness the power of data to drive growth and innovation. Founded in 2002 by Tony Davis and Greg Schneider, Quantium has emerged as a global leader in the field of data science, serving clients across various industries including retail, finance, telecommunications, and healthcare. At the heart of Quantium's success lies its proprietary data analytics platform, which leverages cutting-edge machine learning algorithms and advanced statistical techniques to extract actionable insights from vast and complex datasets. By combining data from diverse sources such as transaction records, customer demographics, and social media interactions, Quantium helps its clients make informed decisions that optimize performance, enhance customer experiences, and fuel business growth. With a team of over 750 data scientists, analysts, and consultants, Quantium has earned a reputation for delivering innovative solutions that drive tangible business outcomes. Whether it's optimizing marketing strategies, improving supply chain efficiency, or predicting consumer behavior, Quantium's data-driven approach enables organizations to stay ahead of the curve in today's rapidly evolving marketplace.

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