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Reliable NSE7_PBC-7.2 Exam Papers, NSE7_PBC-7.2 Exam Questions And Answers
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Fortinet NSE7_PBC-7.2 (Fortinet NSE 7 - Public Cloud Security 7.2) Exam is a certification exam designed to test the knowledge and skills of professionals working in the field of public cloud security. NSE7_PBC-7.2 exam covers a wide range of topics, including cloud security architecture, threat intelligence, network security, web application security, and data protection. NSE7_PBC-7.2 exam is designed to validate the expertise of professionals working with public cloud environments, and to ensure that they have the necessary knowledge and skills to secure these environments against the latest threats.
Fortinet is a leading provider of cybersecurity solutions, helping organizations of all sizes to secure their networks and protect their data from cyber threats. The Fortinet NSE7_PBC-7.2 Exam is a certification exam that validates the skills and knowledge of network security professionals in public cloud security. It is specifically designed for individuals who work with public cloud security solutions and services.
Fortinet NSE7_PBC-7.2 exam is intended for IT professionals who work with public cloud environments, including cloud administrators, cloud architects, security engineers, and network engineers. NSE7_PBC-7.2 exam is also suitable for IT professionals who are seeking to enhance their knowledge and skills in cloud security.
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Fortinet NSE 7 - Public Cloud Security 7.2 Sample Questions (Q28-Q33):
NEW QUESTION # 28
Your goal is to deploy resources in multiple places and regions in the public cloud using Terraform. What is the most efficient way to deploy resources without changing much of the Terraform code?
- A. Use multiple terraform.tfvars files With a variables.tf file.
- B. Use the variable, tf file and edit its values to match multiple resources
- C. Install and configure two Terraform staging servers to deploy resources.
- D. Use the provider. tf file to add all the new values
Answer: A
Explanation:
When deploying resources in multiple places and regions in the public cloud using Terraform, the most efficient way is: A. Use multiple terraform.tfvars files with a variables.tf file.
Terraform.tfvars File: This file is used to assign values to variables defined in your Terraform configuration. By having multiple .tfvars files, you can define different sets of values for different deployments, such as for different regions or environments, without changing the main configuration.
Variables.tf File: This file contains the definition of variables that will be used within your Terraform configuration. It works in conjunction with terraform.tfvars files, allowing you to parameterize your configuration so that you can deploy the same template in multiple environments with different variables.
NEW QUESTION # 29
Refer to the exhibit
An administrator deployed an HA active-active load balance sandwich in Microsoft Azure. The setup requires configuration synchronization between devices- What are two outcomes from the configured settings? (Choose two.)
- A. FortiGate-VM instances are scaled out automatically according to predefined workload levels.
- B. FortiGate A and FortiGate B are two independent devices.
- C. By default, FortiGate uses FGCP
- D. It does not synchronize the FortiGate hostname
Answer: B,D
Explanation:
B: FortiGate A and FortiGate B are two independent devices. This means that they are not part of a cluster or a high availability group, and they do not share the same configuration or state information. They are configured as standalone FortiGates with standalone configuration synchronization enabled1. This feature allows them to synchronize most of their configuration settings with each other, except for some settings that identify the FortiGate to the network, such as the hostname1. D. It does not synchronize the FortiGate hostname. This is one of the settings that are excluded from the standalone configuration synchronization, as mentioned above. The hostname is a unique identifier for each FortiGate device, and it should not be changed by the synchronization process1.
The other options are incorrect because:
* FortiGate-VM instances are not scaled out automatically according to predefined workload levels. This is a feature of the auto scaling solution for FortiGate-VM on Azure, which requires a different deployment and configuration than the one shown in the exhibit2. The exhibit shows a static deployment of two FortiGate-VM instances behind an Azure load balancer, which does not support auto scaling.
* By default, FortiGate does not use FGCP. FGCP stands for FortiGate Clustering Protocol, which is used to synchronize configuration and state information between FortiGate devices in a cluster or a high availability group3. However, the exhibit shows that the FortiGates are not in a cluster or a high availability group, and they use standalone configuration synchronization instead of FGCP.
NEW QUESTION # 30
Refer to the exhibit. Consider the active-active load balance sandwich scenario in Microsoft Azure.
What are two important facts in the active-active load balance sandwich scenario? (Choose two )
- A. It supports session synchronization for handling asynchronous traffic.
- B. It is recommended to enable NAT on FortiGate policies.
- C. It uses the vdom-exception command to exclude the configuration from being synced
- D. It uses the FGCP protocol
Answer: A,B
Explanation:
It is recommended to enable NAT on FortiGate policies. This is because the Azure load balancer uses a hash-based algorithm to distribute traffic to the FortiGate instances, and it relies on the source and destination IP addresses and ports of the packets. If NAT is not enabled, the source IP address of the packets will be the same as the load balancer's frontend IP address, which will result in uneven distribution of traffic and possible asymmetric routing issues. Therefore, it is recommended to enable NAT on the FortiGate policies to preserve the original source IP address of the packets and ensure optimal load balancing and routing.
It supports session synchronization for handling asynchronous traffic. This means that the FortiGate instances can synchronize their session tables with each other, so that they can handle traffic that does not follow the same path as the initial packet of a session. For example, if a TCP SYN packet is sent to FortiGate A, but the TCP SYN-ACK packet is sent to FortiGate B, FortiGate B can forward the packet to FortiGate A by looking up the session table. This feature allows the FortiGate instances to handle asymmetric traffic that may occur due to the Azure load balancer's hash-based algorithm or other factors.
NEW QUESTION # 31
Refer to the exhibit.
What would be the impact of confirming to delete all the resources in Terraform?
- A. It destroys all the resources in the . tfvars file
- B. It destroys all the resources in the resource group
- C. It destroys all the resources in the state file.
- D. It destroys all the resources tied to the AWS Identity and Access Management (1AM) user.
Answer: C
Explanation:
Confirming to delete all the resources in Terraform will have the following impact:
D:It destroys all the resources in the state file.
* Terraform State File Role:Theterraform.tfstatefile contains a real-time mapping of the resources that Terraform manages, including their current configuration and relationships. This file tracks the actual state of resources provisioned by Terraform.
* Impact of Destruction:When Terraform prompts for confirmation to destroy resources, and 'yes' is entered, Terraform reads the state file and systematically removes all the resources that are managed as part of that state. This is not limited to a specific .tfvars file, IAM user, or resource group-it is a global action that affects all resources tracked by the state file associated with the current Terraform workspace and configuration.
References:The function of theterraform.tfstatefile and the impact of resource destruction are detailed in Terraform's official documentation. This behavior is fundamental to how Terraform manages infrastructure as code.
NEW QUESTION # 32
Refer to Exhibit:
After the initial Terraform configuration in Microsoft Azure, the terraform plan command is run Which two statements about running the plan command are true? (Choose two.)
- A. The terraform plan command makes terraform do a dry run.
- B. The terraform plan command will deploy the rest of the resources except the service principle details.
- C. You cannot run the terraform apply command before the terraform plan command.
- D. You must run the terraform init command once, before the terraform plan command
Answer: A,D
Explanation:
A is incorrect because the terraform plan command will not deploy any resources at all. It will only show the changes that would be made if the terraform apply command was run. The error message in the exhibit indicates that the service principal details are invalid, which means that Terraform cannot authenticate to Azure and cannot create any resources1.
B is incorrect because you can run the terraform apply command without running the terraform plan command first. The terraform apply command will automatically generate a new plan and prompt you to approve it before applying it2. However, running the terraform plan command first can help you preview the changes and avoid any unwanted or unexpected actions.
C is correct because you must run the terraform init command once before the terraform plan command. The terraform init command initializes a working directory containing Terraform configuration files. It downloads and installs the provider plugins required for your configuration, such as the Azure provider2. It also creates a hidden directory called .terraform to store the plugin binaries and other metadata1. Without running the terraform init command, the terraform plan command will fail because it cannot find the required plugins or modules.
D is correct because the terraform plan command makes Terraform do a dry run. A dry run is a simulation of what would happen if you executed a certain action, without actually performing it. The terraform plan command creates an execution plan, which is a description of the actions that Terraform would take to make your infrastructure match your configuration2. The execution plan shows you what resources will be created, modified, or destroyed, and what attributes will be changed. The execution plan does not affect your infrastructure or state file until you apply it with the terraform apply command1.
NEW QUESTION # 33
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