Practice Spark Core Components (13.3.2) - Big Data Technologies (Hadoop, Spark)

Practice: Spark Core Components

Lesson 13.3.2Big Data Technologies (Hadoop, Spark)

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9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does RDD stand for in Spark?
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Think about the properties of data distribution in Spark.
Question 2.
What is the purpose of Spark SQL?
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Relate it to traditional databases.
3Question 3.
What does the Spark Core component manage?
- Task Distribution
- SQL Queries
- Graph Processing
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Think about what the central engine of Spark does.
4Question 4.
True or False: RDDs can change after being created.
- True
- False
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Think about the concept of 'resilience' in RDDs.
Question 5.
Given a scenario where a company wants to analyze a live feed of customer interactions on their website, explain how Spark Streaming can be utilized effectively.
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Consider the advantages of processing data streams continuously.
Question 6.
Consider a social media platform that needs to analyze user connections and interactions. How would GraphX facilitate this analysis compared to traditional methods?
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Think about the types of relationships that need to be analyzed.

5 more questions in this section. Enroll free to practise them all.