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NEW QUESTION: 1
監査は、特定の時間におけるシステムまたはアプリケーションのステータスに基づいて行われるか、変更とプロセスを考慮した一定期間の調査として行われます。
次のペアのうち、時間の経過とともに実行される監査の種類と、それに必要な最小の期間に一致するのはどれですか。
A. SOCタイプ2、6か月
B. SOCタイプ2、1か月
C. SOCタイプ2、1年
D. SOCタイプ1、1年
Answer: A
Explanation:
説明
SOCタイプ2の監査は一定期間行われ、最短期間は6か月です。 SOCタイプ1監査は、静的な時点のスコープで設計されており、SOCタイプ2に提供される他の時間は正しくありません。

NEW QUESTION: 2
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_instance will be created first
aws_eip will be created second
D. aws_eip will be created first
aws_instance will be created second
Answer: C
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

NEW QUESTION: 3
ServerAとServerBという2つのMicrosoft SQL Server 2012サーバーを管理します。 AdventureWorksという名前のデータベースを使用します。
データベースミラーリング用にAdventureWorksデータベースを準備する必要があります。 ServerBは、ServerAと一緒にミラーリングパートナーシップのミラーとして機能します。
どの3つのアクションを順番に実行しますか？ （答えるには、適切な行動を行動のリストから回答領域に移動し、正しい順序で並べます。）

Answer:
Explanation:

Explanation

References:

NEW QUESTION: 4
An enterprise company has discovered that a number of Amazon EC2 instances in a VPC are marked as high risk according to a Common Vulnerabilities and Exposures (CVE) report. The Security team requests that all these instances be upgraded.
Who is responsible for upgrading the EC2 instances?
A. The Amazon EC2 team
B. The AWS Security team
C. The company's Systems Administrator
D. The AWS Premium Support team
Answer: C