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| Section | Weight | Objectives |
|---|---|---|
| Automation Tools | 25% | - Deploy via Azure Bicep and AWS CloudFormation - Automate deployments with Terraform - Use Ansible for configuration and management |
| Troubleshooting | 25% | - Resolve connectivity issues in AWS environments - Diagnose and fix SDN connector problems - Resolve connectivity issues in Azure environments |
| Security Solutions Deployment | 25% | - Deploy Fortinet solutions to protect CaaS environments - Deploy Fortinet solutions to protect IaaS environments - Integrate Fortinet solutions with cloud native security tools |
| Cloud Infrastructure Monitoring | 25% | - Monitor Azure networks using Fortinet tools - Monitor AWS networks using Fortinet tools - Ensure visibility and management for cloud workloads |
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NEW QUESTION # 61
Refer to the exhibit. An experienced AWS administrator is creating a new Virtual Private Cloud (VPC) flow log with the settings shown in the exhibit.
What is the purpose of this configuration?
Answer: D
Explanation:
In the exhibit, the destination is set to Amazon S3, which is typically used for long-term storage and retention of VPC flow logs. CloudWatch or Data Firehose would be chosen for real-time monitoring or analysis, but S3 ensures the logs are retained cost-effectively for long durations.
NEW QUESTION # 62
An administrator implements FortiWeb ingress controller to protect containerized web applications in an AWS Elastic Kubernetes Service (EKS) cluster.
What can you conclude about the topology shown in FortiView?
Answer: B
NEW QUESTION # 63
Refer to the exhibit.
Which FortiCNP policy type generated the finding shown in the exhibit? (Choose one answer)
Answer: D
Explanation:
Comprehensive and Detailed Explanation From FortiOS 7.6, FortiWeb 7.4 Exact Extract study guide:
Based on the FortiCNP 22.4/24.4 Administration Guide and the Fortinet Cloud Security Study Guide , findings in FortiCNP are categorized by the specific policy type that triggered the alert.
* Threat Detection Policy (Option B): This policy category is designed to monitor and alert on anomalous User Activity and Network threats. Specifically, " Suspicious Location " is a predefined threat detection rule that triggers when a user performs an action (such as a Download File as seen in the exhibit) from a geographic location or IP address that is not on the organization ' s allow list or deviates from established behavioral baselines. The exhibit explicitly shows the " Activity Type " as " Download File " and the " Policy Name " as " Suspicious Location, " both of which fall under the Threat Detection > User Activity policy tab.
* Policy Hierarchy and Finding Types:
* Threat Detection: Includes User Activity (Suspicious Location, Suspicious Time, Suspicious Movement) and Network findings.
* Data Scan Policy (Option A): These policies are used for content-level inspection, such as searching for Malware or Data Loss Prevention (DLP) patterns like credit card numbers within files.
* Risk Management Policy (Option C): These policies focus on Cloud Security Posture Management (CSPM), alerting on misconfigurations such as unencrypted buckets or disabled logging (e.g., CloudTrail).
* File Collection (Option D): While " File Collection " is a configuration object used to define a group of files for monitoring, it is not the policy type that generates a behavioral alert like " Suspicious Location " .
NEW QUESTION # 64
You are experiencing intermittent connectivity issues in a FortiGate HA cluster deployed with Azure gateway load balancer. Traffic is being dropped when it passes through the cluster. What is the cause of the issue?
(Choose one answer)1
Answer: D
Explanation:
Comprehensive and Detailed Explanation From FortiOS 7.6, FortiWeb 7.4 Exact Extract study guide:
According to theFortiOS 7.6 Azure Administration Guideand thePublic Cloud Securitydocumentation regarding Azure Gateway Load Balancer (GWLB) integration:
* Encapsulation Overhead:Azure Gateway Load Balancer usesVXLAN(Virtual eXtensible LAN) to encapsulate the traffic before sending it to the FortiGate-VM HA cluster. This encapsulation adds a header that typically consists of 50 bytes for regular IPv4 traffic (Ethernet, IP, UDP, and VXLAN headers).
* MTU Mismatch (Option A):The default maximum transmission unit (MTU) in Azure is1500 bytes. If a protected VM sends a packet at the maximum default size (1500 bytes), and the GWLB then adds the
50-byte VXLAN header, the resulting encapsulated packet becomes1550 bytes.
* Packet Drops:If the FortiGate-VM's network interfaces are left at the default MTU of1500 bytes, they will not be able to process the 1550-byte encapsulated frames without fragmentation. Because many network paths or configurations (including Azure's fabric for certain flows) may drop packets that require fragmentation or have theDon't Fragment (DF) flagset, this results in the observed intermittent connectivity issues and dropped traffic.
* Required Resolution:To resolve this issue, administrators mustincrease the MTUon the FortiGate- VM interfaces (specifically the one receiving GWLB traffic) to at least1570 bytesto accommodate both IPv4 and IPv6 VXLAN overhead.
Why other options are incorrect:
* Option B:While an incorrect health probe port would cause the GWLB to mark the FortiGate as down, it would typically lead to a complete loss of traffic flow through that instance rather than intermittent packet drops within an active flow.
* Option C:The GWLB itself is the component adding the overhead; it is theFortiGate'sinability to receive the larger resulting frame (due to its own default MTU setting) that causes the failure.
* Option D:Packet fragmentation by the application is a secondary effect. The primary "intermittent" issue described in GWLB deployments is almost always related to thetunneling overheadexceeding the receiving interface's MTU.
NEW QUESTION # 65
Your monitoring team reports performance issues with a web application hosted in Azure. You suspect that the bottleneck might be due to unexpected inbound traffic spikes. Which method should you use to identify and analyze the traffic pattern?
Answer: B
Explanation:
To identify and analyze inbound traffic patterns, you should enable NSG Flow Logs and analyze them with Azure Monitor. This provides detailed insights into traffic flows, including source/destination IPs, ports, and volume, which helps detect spikes or unusual traffic behavior affecting the web application.
NEW QUESTION # 66
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