Azure Compute Instances and Clusters

1. Which feature allows you to run training jobs in parallel across multiple nodes?

Sequential processing

Distributed training

Single-node scaling

Manual job scheduling

2. True or False: Compute Clusters require manual intervention to scale up for large training jobs.

True

False

3. Which Azure service manages lifecycle and configuration of Compute Clusters?

Azure Virtual Machines

Azure Machine Learning

Azure Container Registry

Azure Batch

Submit

5. What does the 'max_nodes' parameter define in an Azure ML Compute Cluster?

Total permanent nodes

Maximum nodes during auto-scaling

Reserved nodes for priority jobs

Number of CPU nodes only

6. True or False: You must manually allocate storage when creating a Compute Instance.

True

False

7. Which scaling policy scales down nodes in a Compute Cluster after idle time?

Aggressive scaling

Elastic scaling

Scale-down policy

Predictive scaling

Submit

9. What is the main advantage of using low-priority VMs in a Compute Cluster?

Higher performance guarantees

Significant cost reduction

Automatic GPU provisioning

Enhanced data security

10. True or False: Compute Instances support custom Docker images for specialized environments.

True

False

11. What is the primary purpose of an Azure Machine Learning Compute Instance?

Isolated development environment for data scientists

Production inference endpoint only

Data storage and backup

Network gateway management

Submit

13. What is the default idle time before an Azure Compute Instance shuts down automatically?

15 minutes

30 minutes

60 minutes

120 minutes

14. True or False: A Compute Instance can be shared among multiple data scientists in a workspace.

True

False

15. Which Azure VM size family is optimized for GPU-accelerated machine learning tasks?

B-series (general purpose)

N-series (GPU)

D-series (memory optimized)

F-series (compute optimized)

Submit

17. In Azure ML Compute Clusters, what does 'min_nodes' parameter control?

Maximum cluster size limit

Minimum number of nodes always running

Average node count over time

Number of GPU nodes only

18. What happens to a Compute Instance when you stop it?

All data is permanently deleted

Compute resources are released but storage persists

It restarts automatically after 24 hours

It switches to read-only mode

Submit

20. Which compute target in Azure ML is best for distributed training of large models?

Compute Instance

Compute Cluster

Attached Kubernetes cluster

Local machine

Azure Data Scientist Compute Instances and Clusters Quiz

1. Which feature allows you to run training jobs in parallel across multiple nodes?

2.

What first name or nickname would you like us to use?

2. True or False: Compute Clusters require manual intervention to scale up for large training jobs.

3. Which Azure service manages lifecycle and configuration of Compute Clusters?

4. Compute Instances provide integrated ____ notebooks for interactive data exploration.

5. What does the 'max_nodes' parameter define in an Azure ML Compute Cluster?

6. True or False: You must manually allocate storage when creating a Compute Instance.

7. Which scaling policy scales down nodes in a Compute Cluster after idle time?

8. Azure Compute Instances include pre-configured ____ environments for Python and R.

9. What is the main advantage of using low-priority VMs in a Compute Cluster?

10. True or False: Compute Instances support custom Docker images for specialized environments.

11. What is the primary purpose of an Azure Machine Learning Compute Instance?

12. In Azure ML, ____ clusters automatically scale down to zero nodes when idle.

13. What is the default idle time before an Azure Compute Instance shuts down automatically?

14. True or False: A Compute Instance can be shared among multiple data scientists in a workspace.

15. Which Azure VM size family is optimized for GPU-accelerated machine learning tasks?

16. Auto-scaling in Azure Compute Clusters adjusts node count based on ____ requirements.

17. In Azure ML Compute Clusters, what does 'min_nodes' parameter control?

18. What happens to a Compute Instance when you stop it?

19. Azure Compute Instances provide ____ access to development tools like Jupyter and VS Code.

20. Which compute target in Azure ML is best for distributed training of large models?