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NEW QUESTION: 1
Which of the following statements is correct regarding the NAC Quarantine feature?
A. With NAC quarantine, files can be quarantined not only as a result of antivirus scanning, but also for other forms of content inspection such as IPS and DLP.
B. NAC quarantine allows administrators to isolate clients whose network activity poses a security risk.
C. NAC quarantine does a client check on workstations before they are permitted to have administrative access to FortiGate.
D. If you chose the quarantine action, you must decide whether the quarantine type is NAC quarantine or File quarantine.
Answer: B

NEW QUESTION: 2
Sie haben eine IP-Filter-Netzwerkrichtlinienserver-Vorlage (Network Policy Server, NPS), die von einer NPS-Richtlinie verwendet wird. Die IP-Filter sind wie in der folgenden Abbildung gezeigt konfiguriert.

Verwenden Sie die Dropdown-Menüs, um die Antwortauswahl auszuwählen, die die einzelnen Anweisungen anhand der in der Grafik angezeigten Informationen vervollständigt.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

NEW QUESTION: 3
DB1という名前のデータベースを含むAzure仮想マシン上にSQLServerがあります。
DB1にクエリを実行して売上レポートを生成するアプリケーションがあります。
クエリが最後に実行されたときのパラメータ値を確認する必要があります。
どの2つのアクションを実行する必要がありますか？それぞれの正解は、解決策の一部を示しています。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. DB1でPARAMETER_SNIFFINGを有効にする
B. DB1でLast_Query_Plan_Statsを有効にする
C. DB1でLightweight_Query_Profilingを有効にする
D. マスターデータベースでLightweight_Query_Profilingを有効にします
E. マスターデータベースでLast_Query_Plan_Statsを有効にする
Answer: B,E
Explanation:
Last_Query_Plan_Stats allows you to enable or disable collection of the last query plan statistics (equivalent to an actual execution plan) in sys.dm_exec_query_plan_stats.
Lightweight profiling can be disabled at the database level using the LIGHTWEIGHT_QUERY_PROFILING database scoped configuration: ALTER DATABASE SCOPED CONFIGURATION SET LIGHTWEIGHT_QUERY_PROFILING = OFF;.
Incorrect Answers:
E: Parameter sensitivity, also known as "parameter sniffing", refers to a process whereby SQL Server "sniffs" the current parameter values during compilation or recompilation, and passes it along to the Query Optimizer so that they can be used to generate potentially more efficient query execution plans.
Parameter values are sniffed during compilation or recompilation for the following types of batches:
* Stored procedures
* Queries submitted via sp_executesql
* Prepared queries
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/query-profiling-infrastructure

NEW QUESTION: 4
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. Resources will be created simultaneously
B. aws_instance will be created first
aws_eip will be created second
C. aws_eip will be created first
aws_instance will be created second
D. aws_eip will be created first
aws_instance will be created second
Answer: B
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