AZ-104: Microsoft Azure Administrator Full Course - Autoscale considerations

The video tutorial explains two types of auto scaling: metric-based and time-based. Metric-based auto scaling triggers the creation of virtual machines when CPU usage exceeds a certain threshold. Time-based auto scaling allows scheduling based on time patterns, enabling scaling before anticipated load changes. Users can set start and end dates, select time zones, and repeat scaling on specific days. These options help manage resources efficiently by anticipating and responding to varying loads.

What triggers the creation of virtual machines in metric-based auto scaling?

• User login activity

• A specific time of day

• CPU usage exceeding a set percentage

• A decrease in network traffic

What is a key feature of time-based auto scaling?

• Scaling based on network latency

• Scaling based on user feedback

• Scaling when storage is full

• Scaling according to time patterns

Which of the following is an example of a time-based auto scaling action?

• Adding servers when memory usage is high

• Reducing servers during low CPU usage

• Triggering a webhook at 8:00 AM

• Increasing bandwidth during peak hours

What can you configure in time-based auto scaling options?

• CPU usage thresholds

• Network bandwidth limits

• Start and end dates, and time zones

• User access permissions

How can time-based auto scaling be repeated?

• By linking it to CPU usage

• By adjusting network settings

• By changing user roles

• By setting it to trigger on specific days