Google
PROFESSIONAL-DATA-ENGINEER · Question #22
Your company has hired a new data scientist who wants to perform complicated analyses across very large datasets stored in Google Cloud Storage and in a Cassandra cluster on Google Compute Engine. The
The correct answer is D. Deploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine.. Explanation/Reference: Datalab provides Jupyter for this kind of work.
Submitted by devops_kid· Mar 30, 2026Building and operationalizing data processing systems
Question
Your company has hired a new data scientist who wants to perform complicated analyses across very large datasets stored in Google Cloud Storage and in a Cassandra cluster on Google Compute Engine. The scientist primarily wants to create labelled data sets for machine learning projects, along with some visualization tasks. She reports that her laptop is not powerful enough to perform her tasks and it is slowing her down. You want to help her perform her tasks. What should you do?
Options
- ARun a local version of Jupiter on the laptop.
- BGrant the user access to Google Cloud Shell.
- CHost a visualization tool on a VM on Google Compute Engine.
- DDeploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine.
How the community answered
(20 responses)- A5% (1)
- B5% (1)
- D90% (18)
Explanation
Explanation/Reference: Datalab provides Jupyter for this kind of work.
Topics
#Cloud Datalab#Jupyter notebook#data science tooling#Compute Engine
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