Databricks
Databricks is a cloud-based data platform designed for big data processing and analytics. It combines data engineering, data science, and machine learning into a single unified workspace. Built on top of Apache Spark, it allows fast processing of large datasets. Organizations use it to build data pipelines, run analytics, and develop AI/ML models collaboratively.
Take this assessment to understand Databricks and identify areas for further learning.
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General
- There are NO pre-requisites to take this assessment. Take this assessment even if you are completely new to Linux.
- The assessment is completely FREE.
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Eligible Rewards
300 NyxCoins*
* NyxCoins vary on score
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Question 1 of 30
1. Question
Databricks is best described as which type of platform?
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Question 2 of 30
2. Question
Databricks is built on top of which open-source technology?
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Question 3 of 30
3. Question
Which language is NOT natively supported in Databricks notebooks?
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Question 4 of 30
4. Question
What is a Databricks Workspace?
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Question 5 of 30
5. Question
What is Apache Spark?
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Question 6 of 30
6. Question
Which command is used to switch between languages in Databricks notebooks?
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Question 7 of 30
7. Question
Which file format is optimized by Databricks for analytics?
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Question 8 of 30
8. Question
What does DBFS stand for?
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Question 9 of 30
9. Question
Which Databricks component is used to execute code?
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Question 10 of 30
10. Question
What is a Databricks cluster?
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Question 11 of 30
11. Question
Which cluster type is typically created for a job run and automatically terminated after completion?
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Question 12 of 30
12. Question
What is the default data abstraction in Spark?
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Question 13 of 30
13. Question
Which command displays files in DBFS?
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Question 14 of 30
14. Question
Databricks notebooks support which feature for collaboration?
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Question 15 of 30
15. Question
What is the preferred data abstraction in modern Spark?
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Question 16 of 30
16. Question
What does lazy evaluation mean in Spark?
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Question 17 of 30
17. Question
Which operation triggers execution in Spark?
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Question 18 of 30
18. Question
Which command is used to cache a DataFrame?
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Question 19 of 30
19. Question
What is Delta Lake?
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Question 20 of 30
20. Question
Which feature allows you to query older versions of data in Delta Lake?
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Question 21 of 30
21. Question
Which command is used to optimize small files in Delta Lake?
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Question 22 of 30
22. Question
What is the purpose of VACUUM in Delta Lake?
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Question 23 of 30
23. Question
Which workload is Databricks best suited for?
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Question 24 of 30
24. Question
Which join operation generally causes the most expensive network and disk operations in Spark?
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Question 25 of 30
25. Question
What does broadcast() do in Spark SQL?
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Question 26 of 30
26. Question
What is Auto Loader in Databricks?
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Question 27 of 30
27. Question
Which command creates a managed Delta table?
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Question 28 of 30
28. Question
A data engineering team stores transactional data in a Delta Lake table. They want to ensure that new records written to the table follow the defined schema, and any writes with unexpected columns should fail. Which Delta Lake feature enforces this behavior?
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Question 29 of 30
29. Question
Which feature allows Databricks to manage metadata centrally?
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Question 30 of 30
30. Question
Which Databricks feature provides centralized data governance and fine-grained access control across workspaces?
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