Practice Spark SQL - 13.3.2.2 | 13. Big Data Technologies (Hadoop, Spark) | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Spark SQL?

💡 Hint: Think about how SQL functions in databases.

Question 2

Easy

Name one benefit of using DataFrames in Spark SQL.

💡 Hint: Consider how databases use tables.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What type of data processing does Spark SQL primarily focus on?

  • Unstructured
  • Structured
  • Semi-structured

💡 Hint: Recall the difference between structured and unstructured data.

Question 2

Spark SQL integrates with which data formats?

💡 Hint: Think about different file types used in databases.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a sales database with columns for item, revenue, and region, write a SQL query to find the total revenue per region.

💡 Hint: Remember to use GROUP BY for aggregate functions.

Question 2

Discuss potential performance bottlenecks in Spark SQL applications and suggest optimization strategies.

💡 Hint: Think about how resource management can affect performance.

Challenge and get performance evaluation