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You want to schedule your Auto Scaling group to scale down to 2 instances every day at 11 PM UTC and scale up to 6 instances every weekday at 7 AM UTC. Which configuration correctly achieves this?

hard📝 Application Q8 of 15
AWS - Auto Scaling
You want to schedule your Auto Scaling group to scale down to 2 instances every day at 11 PM UTC and scale up to 6 instances every weekday at 7 AM UTC. Which configuration correctly achieves this?
ACreate one scheduled action with Recurrence 'cron(0 23,7 * * ? *)' setting DesiredCapacity to 4
BCreate two scheduled actions: one with Recurrence 'cron(0 23 * * ? *)' setting DesiredCapacity to 2, and another with Recurrence 'cron(0 7 ? * MON-FRI *)' setting DesiredCapacity to 6
CCreate two scheduled actions: one with StartTime at 11 PM UTC setting DesiredCapacity to 2, and another with StartTime at 7 AM UTC setting DesiredCapacity to 6, both without Recurrence
DUse dynamic scaling policies with target tracking instead of scheduled scaling
Step-by-Step Solution
Solution:
  1. Step 1: Understand the requirement

    Scaling down daily at 11 PM UTC and scaling up weekdays at 7 AM UTC requires two scheduled actions with appropriate recurrence.
  2. Step 2: Analyze cron expressions

    'cron(0 23 * * ? *)' triggers daily at 11 PM UTC; 'cron(0 7 ? * MON-FRI *)' triggers weekdays at 7 AM UTC.
  3. Step 3: Confirm DesiredCapacity values

    Set DesiredCapacity to 2 for scale down and 6 for scale up.
  4. Final Answer:

    Create two scheduled actions: one with Recurrence 'cron(0 23 * * ? *)' setting DesiredCapacity to 2, and another with Recurrence 'cron(0 7 ? * MON-FRI *)' setting DesiredCapacity to 6 -> Option B
  5. Quick Check:

    Separate scheduled actions with correct recurrence for each scale event [OK]
Quick Trick: Use separate scheduled actions with correct cron recurrences [OK]
Common Mistakes:
MISTAKES
  • Combining times in one cron expression incorrectly
  • Using StartTime without Recurrence for recurring schedules
  • Replacing scheduled scaling with dynamic scaling policies

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