Databricks Certified Data Engineer - Associate
Get started today
Ultimate access to all questions.
Deep dive into the quiz with AI chat providers.
We prepare a focused prompt with your quiz and certificate details so each AI can offer a more tailored, in-depth explanation.
Question 6
Two junior data engineers are authoring separate parts of a single data pipeline notebook. They are working on separate Git branches so they can pair program on the same notebook simultaneously. A senior data engineer experienced in Databricks suggests there is a better alternative for this type of collaboration.
Which of the following supports the senior data engineer’s claim?
Real Exam
Community
LLeetQuiz
A
Databricks Notebooks support automatic change-tracking and versioning
B
Databricks Notebooks support real-time coauthoring on a single notebook
C
Databricks Notebooks support commenting and notification comments
D
Databricks Notebooks support the use of multiple languages in the same notebook
E
Databricks Notebooks support the creation of interactive data visualizations
Explanation:
Explanation
The senior data engineer's claim likely relates to collaborative features that enable multiple team members to work together effectively on data engineering tasks.
Option B (Correct Answer): Databricks Notebooks support real-time coauthoring on a single notebook, which directly supports collaborative work by allowing multiple data engineers to work simultaneously on the same notebook, seeing each other's changes in real-time.
Why other options are less relevant:
- Option A: Automatic change-tracking and versioning is more about individual development and audit trails rather than real-time collaboration
- Option C: Commenting and notification comments support asynchronous communication but not real-time collaborative editing
- Option D: Multi-language support is about technical capabilities, not collaboration features
- Option E: Interactive visualizations are about data presentation and exploration, not collaborative development
Real-time coauthoring is specifically designed for collaborative scenarios where multiple team members need to work together on the same notebook simultaneously, making it the best support for the senior data engineer's claim about collaborative work.
Comments
Loading comments...