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A Solutions Architect needs to migrate a legacy application from on premises to AWS. On premises, the application runs on two Linux servers behind a load balancer and accesses a database that is master-master on two servers. Each application server requires a license file that is tied to the MAC address of the server's network adapter. It takes the software vendor 12 hours to send ne license files through email. The application requires configuration files to use static.
IPv4 addresses to access the database servers, not DNS.
Given these requirements, which steps should be taken together to enable a scalable architecture for the application servers? (Choose two.)

  • A. Create a pool of ENIs, request license files from the vendor for the pool, and store the license files within Amazon S3. Create automation to download an unused license, and attach the corresponding ENI at boot time.
  • B. Create a pool of ENIs, request license files from the vendor for the pool, store the license files on an Amazon EC2 instance, modify the configuration files, and create an AMI from the instance. use this AMI for all instances.
  • C. Create a bootstrap automation to request a new license file from the vendor with a unique return email. Have the server configure itself with the received license file.
  • D. Create bootstrap automation to attach an ENI from the pool, read the database IP addresses from AWS Systems Manager Parameter Store, and inject those parameters into the local configuration files. Keep SSM up to date using a Lambda function.
  • E. Install the application on an EC2 instance, configure the application, and configure the IP address information. Create an AMI from this instance and use if for all instances.
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Suggested Answer: AD 🗳️

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Chosen Answer:
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jay1ram2
Highly Voted 3 years, 10 months ago
I choose A and D
upvoted 26 times
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vkbajoria
Highly Voted 3 years, 8 months ago
Majority of the answers are incorrect. Is Examtopics purposely providing all the wrong answer?
upvoted 6 times
AzureDP900
3 years, 7 months ago
They might have provided intentionally wrong answers, We have to read and understand what is right vs wrong
upvoted 1 times
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vkbajoria
3 years, 8 months ago
The answer is A & D
upvoted 3 times
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SkyZeroZx
Most Recent 2 years ago
Selected Answer: AD
The answer is A & D
upvoted 1 times
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SkyZeroZx
2 years ago
Selected Answer: AD
I choose A and D
upvoted 1 times
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aandc
3 years ago
Selected Answer: AD
AD is correct
upvoted 1 times
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bkrish
3 years, 3 months ago
I will go with A&D
upvoted 1 times
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AzureDP900
3 years, 7 months ago
I will go with AD
upvoted 1 times
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WhyIronMan
3 years, 8 months ago
I'll go with A,D
upvoted 1 times
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Waiweng
3 years, 8 months ago
It s A&D
upvoted 3 times
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01037
3 years, 8 months ago
A, D If it's supported by the vendor, C is a better choice.
upvoted 1 times
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ExtHo
3 years, 9 months ago
A&D Having the license files on an Amazon S3 bucket reduces the management overhead for the EC2 instances, as you can easily add/remove more license keys if needed. Having the database IP addresses on Parameter Store ensures that all the EC2 instances will have a central location to retrieve the IP addresses. This also reduces the need to constantly update any script from inside the EC2 instance even if you add/remove more databases in the future.
upvoted 4 times
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Pupu86
3 years, 9 months ago
The objective is to tie the license file to a recognisable NIC (ENI in this case) and extract the IP and bind it accordingly. AD fulfils both requirements.
upvoted 1 times
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certainly
3 years, 9 months ago
AD. B is incorrect. the license is binded with specific MAC address. you cannot store license file in the EC2 whose NIC is assigned from the pool programmatically
upvoted 1 times
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Kian1
3 years, 9 months ago
going with AD
upvoted 2 times
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Firststack
3 years, 9 months ago
A & D is correct
upvoted 2 times
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Ebi
3 years, 9 months ago
I will go with AD
upvoted 3 times
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01037
3 years, 9 months ago
What does it mean that tying a license file to the MAC address of the server's network adapter?
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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