Cognizant Data Analytics Analyst Interview Questions and Answers

Q1. What is DNS, HTTP/s, TLS, SSL?
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Q2. What is the latest for HTML, CSS, and JS?
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Q1. What are the latest features in ES10?
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Q2. What is the difference between async and promises?
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Q3. Why everything is a object in JavaScript
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Aptitude has general maths, English and Finance questions very easy and it was a online aptitude test.

Q1. Derivatives, Types of derivatives
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Q2. What is indices
Ans. 
Indices are statistical measures used to track the performance of a specific group of assets or market.
• Indices are used to provide a snapshot of the overall market or a specific sector.

• They are often used as benchmarks for investment performance.

• Examples include the S&P 500, Dow Jones Industrial Average, and NASDAQ Composite.
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Q3. What is capital budgeting
Ans. 
Capital budgeting is the process of planning and managing a firm's long-term investments.
• Involves evaluating potential investments and deciding which ones to pursue

• Considers factors such as cash flows, risks, and returns

• Helps in determining the best allocation of resources for maximum profitability

• Examples include building a new factory, purchasing equipment, or launching a new product
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Q4. About financial instruments
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Q5. Tell me about yourself
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I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.

• I am proficient in using statistical software such as R and Python for data analysis.

• I have experience in conducting market research and creating reports to help businesses make informed decisions.
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Q1. What is a VPN, and how does it work?
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Q2. What steps would you take if the server were to go down?
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It comprised of 3 sections
1st section
MCQ round:DSA(bitwise operators), DBMS, Networking.
2nd Section
Essay writing (200 words)
3rd Section
Gaming based cognitive ability test.

Then qualified students had to give SVAR test.

Q1. Can you describe your major project
Ans. 
Developed a data analysis tool to track customer behavior and improve marketing strategies.
• Utilized Python and SQL to extract and analyze customer data

• Implemented machine learning algorithms to predict customer preferences

• Collaborated with marketing team to implement targeted campaigns based on analysis

• Generated reports and visualizations to present findings to stakeholders
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Q2. Explain the concept of inheritance along with other basic Object-Oriented Programming (OOP) concepts?
Ans. 
Inheritance is a concept in OOP where a class can inherit attributes and methods from another class.
• Inheritance allows for code reusability and promotes the concept of 'is-a' relationship.

• A subclass can inherit from a superclass, gaining access to its attributes and methods.

• Example: Class 'Animal' can be a superclass, and classes like 'Dog' and 'Cat' can inherit from it.
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Q1. What is data analysis and data science?
Ans. 
Data analysis involves examining, cleaning, transforming, and modeling data to discover useful information, while data science involves using scientific methods, algorithms, and systems to extract knowledge and insights from data.
• Data analysis focuses on examining and interpreting data to make informed decisions.

• Data science involves using various techniques and algorithms to extract insights and knowledge from data.

• Da...read more
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Q2. What is array explain numpy in python?
Ans. 
An array in numpy is a grid of values, all of the same type, and is indexed by a tuple of nonnegative integers.
• Numpy is a popular Python library for numerical computing.

• Arrays in numpy can be created using the np.array() function.

• Arrays can have multiple dimensions, such as 1D, 2D, or even higher dimensions.

• Numpy arrays are more efficient than Python lists for numerical operations.

• Example: import numpy as np arr = np.a
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Q3. What is dataframe?
Ans. 
Dataframe is a two-dimensional data structure in pandas that stores data in rows and columns.
• Dataframe is a key data structure in the pandas library for data manipulation and analysis

• It is similar to a table in a relational database or a spreadsheet in Excel

• Dataframes can be created from various data sources such as CSV files, databases, or dictionaries
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Q4. What is Power Bi
Ans. 
Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.
• Power BI allows users to connect to various data sources and create interactive reports and dashboards.

• Users can easily share and collaborate on reports with others within their organization.

• It offers a wide range of visualization options to present data in a meaningful way.

• Power BI can be ...read more
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Q5. What are the data visulaztion tools?
Ans. 
Data visualization tools are software that help in creating visual representations of data to aid in understanding and analysis.
• Tableau

• Power BI

• QlikView

• Google Data Studio

• D3.js
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The test level is moderate

Q1. Difference between c and java
Ans. 
C is a procedural language while Java is an object-oriented language.
• C is a low-level language, closer to the hardware, while Java is a high-level language.

• C requires manual memory management, while Java has automatic garbage collection.

• C is compiled directly to machine code, while Java is compiled to bytecode and runs on a virtual machine.

• C supports pointers, while Java does not.

• C is used for system programming, embed...read more
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Q2. Excel shortcuts
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Q1. Can you provide a self-introduction?
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Q1. How are you, what is your name, where are you from
Ans. 
I am doing well, my name is John Smith, and I am from New York.
• I am doing well

• My name is John Smith

• I am from New York
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Q2. Hola siva India flag
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Q3. Siva Reddy vanga india
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Q4. India vanga siva reddy
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Q5. King movie good only
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