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2103 Curated Machine Learning, Data Science, AI & LLMs Interview Questions
Answered To Get Your Next Six-Figure Job Offer
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Top 30 Apache Spark Interview Questions

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Apache Spark Theoretical Questions
Q1:   

What's the difference between Drivers and Executor processes in Apache Spark applications?

  
Add to PDF   Junior 
Q2:   

Briefly compare Apache Spark vs Apache Hadoop

  
Add to PDF   Junior 
Q3:   

What is Lazy Evaluation in Apache Spark?

  
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Q4:   

What is the difference between Caching and Persistence in Apache Spark?

  
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Q5:   

What types of data tables can you create in Apache Spark?

  
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Q6:   

What is Shuffling in Apache Spark, and when does it happen?

  
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Q7:   

What's the difference between RDD and DataFrame in Apache Spark?

  
 Add to PDF   Mid 
Q8:   

What's the difference between Map and flatMap() in Apache Spark?

  
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Q9:   

What types of transformations can you perform on a RDD in Apache Spark?

  
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Q10:   

When would you need to Cache a DataFrame in Apache Spark?

  
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Q11:   

What's the difference between Stateless vs Stateful operations in Apache Spark?

  
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Q12:   

What's the difference between DataSet vs DataFrame in Apache Spark?

  
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Q13:   

What types of Time Windows are available in Apache Spark?

  
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Q14:   

How can you deal with Spill in Apache Spark?

  
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Q15:   

What components of a Apache Spark application should you monitor?

  
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Q16:   

What is Data Skew, and how it affects the performance of Apache Spark jobs?

  
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Q17:   

What are the most common performance problems in Apache Spark?

  
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Q18:   

What factors affect Join operations in Apache Spark?

  
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Q19:   

How can you change the partitions of an RDD?

  
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Q20:   

What is the difference between a Transformation and an Action in Apache Spark?

  
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Q21:   

What types of Shared Variables exist in Apache Spark?

  
 Add to PDF   Senior 
Q22:   

How can you correct Data Skew in Spark?

  
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Q23:   

What factors affect Partitioning in Apache Spark?

  
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Q24:   

How to overcome Serialization issues in Apache Spark?

  
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Q25:   

Name some Join Strategies available in Apache Spark

  
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Q26:   

What happens when you run the Spark-Submit Command? What's the internal working of a Spark Application?

  
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Q27:   

What are the different types of application execution modes in Apache Spark?

  
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Q28:   

What are the phases of the Catalyst Optimizer in Apache Spark?

  
 Add to PDF   Expert 
Q29:   

When to use Broadcast Hash Join vs Shuffle Sort Merge Join in Apache Spark?

  
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Q30:   

How to define Structured Streaming Query in Apache Spark?

  
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23 Scala Interview Questions (ANSWERED) For Your Next Data Science Interview
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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...
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