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2103 Curated Machine Learning, Data Science, Python & LLMs Interview Questions
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Top 30 AWS Machine Learning Interview Questions  AWS Machine Learning  30  
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Top 32 Hadoop Interview Questions

Entry Junior Mid Senior Expert
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Learning Progress:
Hadoop Theoretical Questions
Q1:   

What are the core concepts of the Apache Hadoop framework?

  
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Q2:   

Is Apache Hadoop a Database?

  
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Q3:   

What's the difference between Active and StandBy NameNodes in Apache Hadoop?

  
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Q4:   

What are the most common InputFormats in Hadoop?

  
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Q5:   

How Does Hadoop Work?

  
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Q6:   

What are the Modes in which Hadoop runs?

  
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Q7:   

When would you add Nodes to a running Hadoop cluster?

  
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Q8:   

Can you provide an example of how MapReduce works in Apache Hadoop?

  
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Q9:   

Briefly explain the Hadoop Cluster Architecture

  
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Q10:   

What are some common reasons why a Hadoop job may be pending?

  
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Q11:   

What are the Join Strategies available in Hadoop MapReduce?

  
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Q12:   

What types of Nodes can you have in the HDFS?

  
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Q13:   

What Are Counters in Hadoop?

  
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Q14:   

How does rack awareness work in HDFS?

  
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Q15:   

What is the role of the ResourceManager and NodeManager in YARN?

  
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Q16:   

What's the difference between HDFS and HBase in Hadoop?

  
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Q17:   

What Is the difference between Split Size and Block Size in Hadoop?

  
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Q18:   

What is Hadoop Speculative Task Execution and when would you use it?

  
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Q19:   

How can you fix multiple Hadoop jobs that don't exit?

  
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Q20:   

What is the difference between Map-Side Join and Reduce Side Join in Hadoop?

  
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Q21:   

What are the differences between regular FileSystem and HDFS in Apache Hadoop?

  
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Q22:   

Can you provide a high-level overview of how to develop a MapReduce application in Apache Hadoop?

  
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Q23:   

Can multiple users write a file/files to the same directory in HDFS without having any disturbance to write operations?

  
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Q24:   

How does Hadoop Distributed Cache work?

  
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Q25:   

Why do we use HDFS for files with large data sets but not when there are a lot of small files?

  
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Q26:   

What happens if the NameNode fails in Hadoop?

  
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Q27:   

How HDFS achieves Fault Tolerance?

  
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Q28:   

What is the purpose of Shuffling and Sorting Phase in the reducer in Hadoop MapReduce?

  
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Q29:   

What is the ideal number of nodes in a Hadoop Cluster?

  
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Q30:   

What are some common reasons why parallel Hadoop jobs fail?

  
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Q31:   

What are some best practices for optimizing Hadoop job performance?

  
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Q32:   

Can Hadoop tasks run in Parallel on a single node?

  
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Top 30 AWS Machine Learning Interview Questions  AWS Machine Learning  30  

Amazone runs the internet as we know it. Amazon Web Services (AWS) offers a comprehensive suite of machine learning (ML) services that cater to various needs and expertise levels. Follow along and learn the 23 most common AWS machine-learning intervi...

Top 30 Azure ML Interview Questions  Azure ML  30  

Azure Machine Learning (Azure ML) is a cloud-based service for creating and managing machine learning solutions. It’s designed to scale, distribute, and deploy machine learning models to the cloud. Follow along and learn the 23 most common Azure Mach...

Top 32 Hadoop Interview Questions  Hadoop  32  

Hadoop is an open-source big data processing framework. It leverages distributed computing to store and process large datasets in a fault-tolerant manner. According to recent reports, Apache Hadoop is one of the most sought-after big data skills with...

23 Apache Spark Interview Questions (ANSWERED) To Learn Before ML & Big Data Interview
Apache Spark is a unified analytics engine for large-scale data processing. It is built to handle various use cases in big data analytics, including data processing, machine learning, and graph processing. Follow along and learn the 23 most common an...
Top 30 Apache Spark Interview Questions  Apache Spark  30  
23 Scala Interview Questions (ANSWERED) For Your Next Data Science Interview
Scala is a powerful language with functional programming capabilities that can be a good choice for data science, especially in big data and distributed computing scenarios. As an example, Apache Spark, a popular distributed data processing framework...
Top 39 Scala Interview Questions  Scala  39  
30 PyTorch Interview Questions (ANSWERED) To Beat Your Next Machine Learning Interview
PyTorch popularity as a Deep Learning framework of choice is on the rise. As of December 2022, 62% of the academic papers were implemented in PyTorch whereas only 4% were for TensorFlow. Follow along and prepare effectively with these key 30 PyTorch ...
Top 36 PyTorch Interview Questions  PyTorch  36  
23 Common Artificial Intelligence Interview Questions (SOLVED) For Your Next ML & DS Interview
The use of Artificial Intelligence (AI) in machine learning and data science enabled advancements in areas such as natural language processing, computer vision, recommendation systems, fraud detection, predictive analytics, and personalized medicine....
Top 42 ChatGPT Interview Questions  ChatGPT  42  
Top 18 Machine Learning Interview Questions  Machine Learning  18  
Top 140 Neural Networks Interview Questions  Neural Networks  140  
21 Data Science Optimisation Algorithms Interview Questions (ANSWERED)
Optimization algorithms are extensively used in training machine learning models. Data engineers employ algorithms like gradient descent, stochastic gradient descent, and variants (e.g., Adam, RMSprop) to optimize the model parameters and minimize th...
Top 33 Optimisation Interview Questions  Optimisation  33  
27 ChatGPT Interview Questions (ANSWERED) For ML and Prompt Engineers
ChatGPT, an implementation of the GPT (Generative Pre-trained Transformer) model excels in understanding and generating human-like text, making it a powerful tool for NLP tasks. ML engineers and software developers can leverage ChatGPT's capabilities...
Top 42 ChatGPT Interview Questions  ChatGPT  42  
27 Large Language Models (LLMs) Interview Questions (ANSWERED) For your Next ML and GPT Interview
Large Language Models (LLMs), such as GPT-3.5, have revolutionized natural language processing by demonstrating the ability to generate human-like text and comprehend context. Follow along to understand the top 27 LLMs-related interview questions and...
Top 42 ChatGPT Interview Questions  ChatGPT  42  
Top 59 LLMs Interview Questions  LLMs  59  

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