Associate Cloud Engineer free question 7 / 10 · Domain 3: Ensuring the successful operation of a cloud solution
A data analysis team uses notebooks on Gemini Enterprise Agent Platform Workbench instances. While writing operating rules, which two statements fit the Agent Platform Workbench introduction page? (Choose two.)
- Idle shutdown is disabled by default, so enable it on instances where you want to save cost
- To change the underlying VM, use gcloud workbench instances update or the Notebooks API patch method
- Install the third-party JupyterLab extensions your company standardizes on in each instance
- A notebook scheduled with the executor runs and saves its results even when the instance is stopped
- Use executor scheduled runs as they are on instances that use VPC Service Controls
Show the answer and explanation
Answer: B, D
Why this is correct
The limitations on the page say the underlying VM of an Agent Platform Workbench instance cannot be edited in the Google Cloud console or with the Compute Engine API, and is edited with the Notebooks API method projects.locations.instances.patch or the gcloud workbench instances update command. The section on running notebooks also explains that the executor can run a notebook once or on a schedule, and that it runs the notebook and saves the results even while the instance is stopped. Results are saved in a Cloud Storage bucket, so you can share them by granting access.
Why the other options are wrong
"Install the third-party JupyterLab extensions your company standardizes on in each instance" … The limitations on the page say that third-party JupyterLab extensions are not supported.
"Idle shutdown is disabled by default, so enable it on instances where you want to save cost" … The page says that to control cost, an instance shuts down by default after a period of idleness. You can change the time or turn the feature off.
"Use executor scheduled runs as they are on instances that use VPC Service Controls" … The limitations on the page say that the executor cannot be used on instances that use VPC Service Controls.
Key point
A Workbench instance is a Jupyter notebook development environment that includes JupyterLab and TensorFlow, PyTorch, and others, and you can create CPU-only or GPU configurations. Adding a conda environment makes it available as a kernel. Custom containers must be built from the base container Google provides, and others are not supported. BigQuery notebooks (Colab Enterprise) are covered on a separate page, and their runtime belongs to one user and cannot be used by others.
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