HTC Global Services Data Analyst Interview Questions and Answers for Experienced

Average
technical
mathematics
logical

Recent topics ,prepare current scenario based

Q1. Technical questions ,salary discussion
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Easy round with normal pattern matching ques

Topic was given than all are told to speak

Q1. Normal ques related to offer
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Q2. Why do you want to join
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The first was a mcq based coding round for campus placement

This was a pairing coding round

Q1. Explain different unsupervised algo
Ans. 
Unsupervised algorithms are used to find patterns in data without labeled outcomes.
• K-means clustering: partitions data into K clusters based on similarity

• Hierarchical clustering: creates a tree of clusters based on similarity

• Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components

• Association rule mining: discovers interesting relationships between variables in large datasets
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Q1. Tableau Questions 1. Difference between dimensions and measures. 2. What is RLS? 3. What are the functions you can assign in RLS? 4. Explain what is drill down approach. 5. What is LOD? 6. What is a calcul...read more
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Q2. SQL Questions 1. In employee table find the 2nd highest salary. 2. Find the highest average salary in department 3. Given two tables(sales & product) find total sales per category 4. Two questions to find ...read more
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Q1. Tell me about you self
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Q2. What are the good qualities of a freshers
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Why should we hire you

Q1. What is IP address?
Ans. 
An IP address is a unique numerical label assigned to each device connected to a computer network.
• IP addresses are used to identify and locate devices on a network.

• There are two types of IP addresses - IPv4 and IPv6.

• IPv4 addresses are written in the form of four sets of numbers separated by periods (e.g. 192.168.1.1).

• IPv6 addresses are written in a hexadecimal format and are longer than IPv4 addresses.

• IP addresses can ...read more
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Q1. Not completed technical round
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Q1. Sql regarding question was there
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Q1. Questions on Python datatypes, class, object, inheritance,
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Q2. Machine learning algorithms
Ans. 
Machine learning algorithms are used to train models on data to make predictions or decisions.
• Supervised learning algorithms include linear regression, decision trees, and neural networks.

• Unsupervised learning algorithms include clustering and dimensionality reduction.

• Reinforcement learning algorithms involve learning through trial and error.

• Examples of machine learning applications include image recognition, natural l
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Q3. Sql queries and python coding questions
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Q1. Related to project
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