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Question 585 - SAA-C03 discussion

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A company plans to migrate toAWS and use Amazon EC2 On-Demand Instances for its application. During the migration testing phase, a technical team observes that the application takes a long time to launch and load memory to become fully productive.

Which solution will reduce the launch time of the application during the next testing phase?

A.
Launch two or more EC2 On-Demand Instances. Turn on auto scaling features and make the EC2 On-Demand Instances available during the next testing phase.
Answers
A.
Launch two or more EC2 On-Demand Instances. Turn on auto scaling features and make the EC2 On-Demand Instances available during the next testing phase.
B.
Launch EC2 Spot Instances to support the application and to scale the application so it is available during the next testing phase.
Answers
B.
Launch EC2 Spot Instances to support the application and to scale the application so it is available during the next testing phase.
C.
Launch the EC2 On-Demand Instances with hibernation turned on. Configure EC2 Auto Scaling warm pools during the next testing phase.
Answers
C.
Launch the EC2 On-Demand Instances with hibernation turned on. Configure EC2 Auto Scaling warm pools during the next testing phase.
D.
Launch EC2 On-Demand Instances with Capacity Reservations. Start additional EC2 instances during the next testing phase.
Answers
D.
Launch EC2 On-Demand Instances with Capacity Reservations. Start additional EC2 instances during the next testing phase.
Suggested answer: C

Explanation:

The solution that will reduce the launch time of the application during the next testing phase is to launch the EC2 On-Demand Instances with hibernation turned on and configure EC2 Auto Scaling warm pools. This solution allows the application to resume from a hibernated state instead of starting from scratch, which can save time and resources. Hibernation preserves the memory (RAM) state of the EC2 instances to the root EBS volume and then stops the instances. When the instances are resumed, they restore their memory state from the EBS volume and become productive quickly. EC2 Auto Scaling warm pools can be used to maintain a pool of pre-initialized instances that are ready to scale out when needed. Warm pools can also support hibernated instances, which can further reduce the launch time and cost of scaling out.

The other solutions are not as effective as the first one because they either do not reduce the launch time, do not guarantee availability, or do not use On-Demand Instances as required. Launching two or more EC2 On-Demand Instances with auto scaling features does not reduce the launch time of the application, as each instance still has to go through the initialization process. Launching EC2 Spot Instances does not guarantee availability, as Spot Instances can be interrupted by AWS at any time when there is a higher demand for capacity. Launching EC2 On-Demand Instances with Capacity Reservations does not reduce the launch time of the application, as it only ensures that there is enough capacity available for the instances, but does not pre-initialize them.

Hibernating your instance - Amazon Elastic Compute Cloud

Warm pools for Amazon EC2 Auto Scaling - Amazon EC2 Auto Scaling

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asked 16/09/2024
Aamer Shahzad
32 questions
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