Overview of Azure AI
1. What are the three core components of cloud computing?
Correct! Cloud computing requires a local computer to access services, an offsite data centre managed by the cloud provider, and an internet connection to link the two components together.
Not quite. The three core components are a local computer to access the cloud, an offsite data centre managed by the provider, and an internet connection to connect them.
2. Which Azure service would be most appropriate for a researcher who needs specialist compute power for a specific task?
Correct! Azure's Virtual Machines give you the flexibility to spin up a machine specific to your research computing task.
Not quite. Whilst all the options can provide a solution to some tasks, if you need specific compute power for analysis then a virtual machine would best fit your need.
3. According to the course material, Azure AI use cases fall into two main categories. Which scenario best represents the "Acceleration" category?
Correct! "Acceleration" focuses on amplifying research capabilities and discovering new insights, such as identifying subtle patterns that traditional methods might miss. The other options represent "Automation" tasks.
Not quite. This option represents "Automation" - freeing researchers from tedious tasks. "Acceleration" involves amplifying research capabilities, like identifying complex patterns in data.
4. What is a key advantage of Azure's approach to sustainability and ethical AI development?
Correct! Azure combines environmental sustainability through renewable energy commitments with comprehensive responsible AI tools, including fairness monitoring, transparency features, and privacy protections.
Not quite. Azure's sustainability comes from renewable energy commitments in data centres and provides tools to help researchers identify and monitor bias, but doesn't automatically prevent all bias without human oversight.
5. What are the key benefits of cloud computing over regular computing for researchers?
Correct! Cloud computing offers scalable access to expensive hardware like GPUs, enhanced reliability with professional backup systems, centralised collaboration capabilities, and flexible configurations for specialised research needs - all without the upfront costs and maintenance of physical hardware.
Not quite. Cloud computing actually provides scalable resources, enhanced security, centralised collaboration, and flexible configurations - all key advantages over traditional computing setups for researchers.
Complete the quiz to see your results.