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NEW QUESTION: 1
A. Option C
B. Option B
C. Option A
D. Option D
Answer: A,C
NEW QUESTION: 2
Which of the following is a black box testing methodology?
A. Penetration testing
B. Code, function, and statement coverage review
C. Architecture and design review
D. Application hardening
Answer: B
NEW QUESTION: 3
You are building out a layer in a software stack on AWS that needs to be able to scale out to react to
increased demand as fast as possible. You are running the code on EC2 instances in an Auto Scaling
Group behind an ELB. Which application code deployment method should you use?
A. Bake an AMI when deploying new versions of code, and use that AMI for the Auto Scaling Launch
Configuration.
B. Create a new Auto Scaling Launch Configuration with UserData scripts configured to pull the latest
code at all times.
C. Create a Dockerfile when preparing to deploy a new version to production and publish it to S3. Use
UserData in the Auto Scaling Launch configuration to pull down the Dockerfile from S3 and run it when
new instances launch.
D. SSH into new instances that come online, and deploy new code onto the system by pulling it from an
S3 bucket, which is populated by code that you refresh from source control on new pushes.
Answer: A
Explanation:
... the bootstrapping process can be slower if you have a complex application or multiple applications to
install. Managing a fleet of applications with several build tools and dependencies can be a challenging
task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take
advantage of Auto Scaling.
Reference: https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf
