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NEW QUESTION: 1
You are the project manager for a construction company. Your firm has been contracted to complete the construction of a 10-story office building. This project will use three point estimates to calculate the estimates for activity duration. You have the following estimates for task A (creating the foundation). Assuming the triangular distribution what is the average duration estimate based on the following three point estimates?
Pessimistic= 100 days
Optimistic= 40 days
Most likely=65 days
A. 66.66
B. 68.33
C. 0
D. 1
E. 2
Answer: B

NEW QUESTION: 2
A company has an infernal web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group in a single Availability Zone. A SysOps administrator must make the application highly available.
Which action should the SysOps administrator take to meet this requirement?
A. Increase the maximum number of instances in the Auto Scaling group to meet the capacity that is required at peak usage.
B. Update the Auto Scaling group to launch new instances in an Availability Zone in a second AWS Region.
C. Update the Auto Scaling group to launch new instances in a second Availability Zone in the same AWS Region.
D. Increase the minimum number of instances in the Auto Scaling group to meet the capacity that is required at peak usage.
Answer: C

NEW QUESTION: 3
Given the Terraform configuration below, in which order will the resources be created?
1. resource "aws_instance" "web_server"
2. {
3. ami = "ami-b374d5a5"
4. instance_type = "t2.micro"
5. }
6. resource "aws_eip" "web_server_ip"
7. {
8. vpc = true instance = aws_instance.web_server.id
9. }
A. aws_eip will be created first
aws_instance will be created second
B. Resources will be created simultaneously
C. aws_eip will be created first
aws_instance will be created second
D. aws_instance will be created first
aws_eip will be created second
Answer: D
Explanation:
Explanation
Implicit and Explicit Dependencies
By studying the resource attributes used in interpolation expressions, Terraform can automatically infer when one resource depends on another. In the example above, the reference to aws_instance.web_server.id creates an implicit dependency on the aws_instance named web_server.
Terraform uses this dependency information to determine the correct order in which to create the different resources.
# Example of Implicit Dependency
resource "aws_instance" "web_server" {
ami = "ami-b374d5a5"
instance_type = "t2.micro"
}
resource "aws_eip" "web_server_ip" {
vpc = true
instance = aws_instance.web_server.id
}
In the example above, Terraform knows that the aws_instance must be created before the aws_eip.
Implicit dependencies via interpolation expressions are the primary way to inform Terraform about these relationships, and should be used whenever possible.
Sometimes there are dependencies between resources that are not visible to Terraform. The depends_on argument is accepted by any resource and accepts a list of resources to create explicit dependencies for.
For example, perhaps an application we will run on our EC2 instance expects to use a specific Amazon S3 bucket, but that dependency is configured inside the application code and thus not visible to Terraform. In that case, we can use depends_on to explicitly declare the dependency:
# Example of Explicit Dependency
# New resource for the S3 bucket our application will use.
resource "aws_s3_bucket" "example" {
bucket = "terraform-getting-started-guide"
acl = "private"
}
# Change the aws_instance we declared earlier to now include "depends_on" resource "aws_instance" "example" { ami = "ami-2757f631" instance_type = "t2.micro"
# Tells Terraform that this EC2 instance must be created only after the
# S3 bucket has been created.
depends_on = [aws_s3_bucket.example]
}
https://learn.hashicorp.com/terraform/getting-started/dependencies.html