Fortinet FCSS_SASE_AD-25 Exam Prep
FCSS - FortiSASE 25 Administrator (Page 4 )

1. Define Power Platform DLP policies
2. Add custom prompt modifications
3. Conduct adversarial testing

1. DLP policies first

1. Prompt modifications second

1. Adversarial testing last

• 25 — Traditional SMTP server-to-server mail transfer; not normally used for secure client submission.
• 110 — POP3, used to retrieve email and typically unencrypted.
• 143 — IMAP, used to access email and typically unencrypted.

• Correct answer: C: Amazon Comprehend.

• Why: The library wants to classify books based on their text content. This is an NLP (natural language processing) task. Amazon Comprehend is AWS’s managed NLP service that can perform content classification (including creating custom classifiers) and extract meaningful information from text. The other services are not focused on text classification:

• Quick note: In practice, you’d store the books in S3, extract text if needed (e.g., from PDFs with Textract), and then use Comprehend to classify the documents into topics or genres.

• Amazon Cognito is designed for customer-facing apps to handle user sign-up, sign-in, and access control, and it can federate identities from social providers (Facebook, Google, etc.) or enterprise IdPs via SAML/OpenID Connect.
• You can configure a Cognito User Pool and connect social identity providers, then use tokens (JWT) to authorize backend API calls.

• AWS Directory Service is for connecting your AWS apps to an existing directory (like Active Directory) for enterprise users, not social login for customer apps.
• AWS IAM is for managing access to AWS resources, not end-user authentication for your website.
• AWS IAM Identity Center (AWS SSO) provides SSO for AWS accounts and enterprise apps, not typical social logins for consumer-facing websites.

• Detect risky sign-ins from unfamiliar or unidentified IP addresses
• Evaluate user or sign-in risk
• Automatically require a password change because of a risky sign-in

• User risk policy: Can require a user to securely change their password when the account may be compromised.
• Sign-in risk policy: Can require MFA or block access based on the risk of a particular sign-in.

• Compensating control: The server is end-of-life, so it may no longer receive security patches or support. Placing it on a restricted VLAN provides an alternative layer of protection by reducing who can access it and limiting its exposure.
• Technical control: VLAN segmentation and access control lists (ACLs) are technology-based mechanisms that enforce network access restrictions automatically.

• Managerial: Policies, procedures, and governance—not network configuration.
• Physical: Locks, guards, or barriers.
• Corrective: Restores systems after an incident.
• Detective: Identifies suspicious activity rather than restricting access.
• Deterrent: Discourages behavior but does not enforce access rules.

• vSmart controls the overlay control plane. It uses OMP to exchange routing information, distribute policies, and determine how WAN Edge devices reach one another.
• vManage is the centralized management and configuration platform.
• vBond is the orchestrator. It helps devices authenticate, discover controllers, and traverse NAT during onboarding.
• APIC-EM is not the SD-WAN control-plane component described here.

Simple explanation

• The Azure VPN gateway to connect to
• Authentication settings
• Routes for networks that the client can access

• Le rôle n’a pas de clés propres. Des identifiants temporaires (via STS) sont émis lorsque quelqu’un ou quelque chose « assume » le rôle.
• La trust policy déclare qui peut assumer le rôle (par ex. une instance EC2, un utilisateur IAM, ou un service comme Lambda).
• Une fois attaché à une ressource (par exemple comme un instance profile sur une EC2), l’application peut appeler les services AWS avec les permissions du rôle.

• Respect du principe du moindre privilège: on accorde uniquement ce qui est nécessaire.
• Pas de stockages de clés sur les instances; les credentials se renouvellent automatiquement.

• Rôles pour EC2, rôles pour Lambda, accès cross-compte, etc.

• Wiping securely overwrites the drive so the original data cannot reasonably be recovered. It is generally less expensive than physically destroying the device.
• Recycling could expose the data if the drive is not securely erased first.
• Shredding physically destroys the drive and is effective, but usually more costly and prevents reuse.
• Deletion only removes file references; it is not a secure sanitization method.

• Define the contractor’s deliverables, responsibilities, acceptance criteria, and deadlines.
• Agree on a reporting cadence to monitor progress.
• Allow the local company to use its expertise and manage its own work.

• A: “Under the supervision of the project manager” suggests excessive direct control and is less empowering.
• B: Micromanaging prevents the contractor from functioning independently and is inefficient.
• D: Deploying the contractor’s staff under the PM’s supervision creates a staffing/control arrangement rather than empowering the contracted company.

• Answer: S3 Inventory report.

• Why: The S3 Inventory report provides a scheduled listing of objects within a bucket, including metadata about each object. When you configure it to include object tagging, you can see tags for each object, and the object keys (which reflect prefixes) and bucket scope are captured in the report. This makes it suitable for auditing and tracking “tags, buckets, and prefixes” across S3 objects.

• What the other options do (not suitable for this purpose):

• Tip: If you need tags in the report, enable the inventory option to include object tagging in the configuration.

• Pay-as-you-go in Azure is an operating expense (OPEX) model, not an “elastic” expenditure model.
• Elastic or scalable terms describe capacity planning, not the cost category. The cost should be treated as OPEX since you pay for usage each month.
• The parallel question (Question 12) shows the correct approach is using an operational expenditure model.

• D. Provide public endpoints to store and retrieve data

• E. Manage the infrastructure layer and the operating system

• Classifying data
• Configuring access permissions, such as IAM policies
• Selecting or configuring available encryption options, depending on the requirement

1. Identify every Region containing a replica.
2. Schedule deletion of the KMS key in each Region.
3. Use the minimum KMS waiting period: 7 days.

• A — Use the root user: Root access does not eliminate the need to schedule deletion for every regional replica. The problem is the multi-Region structure, not insufficient administrative permissions.

• C — Update the key policy: The policy already grants kms:* to IAM principals. Changing permissions does not delete the key or its replicas.

• D — Disable the key and schedule deletion in 30 days: Disabling can stop cryptographic use, but 30 days is slower than the permitted 7-day waiting period. It also does not address replicas in other Regions.

• Sending calls to available agents quickly
• Balancing interactions across agents
• Preventing calls from being handled manually one at a time

• Workforce Management: Forecasts demand and schedules enough staff; it supports wait-time reduction but does not directly distribute calls.
• Skill-based Routing: Routes calls based on agent skills and may improve the customer experience, but the question is asking about the core feature that distributes calls efficiently.
• IVR: Lets callers navigate menus and self-service options; it does not primarily assign calls to agents.

1. Start with the 48-bit MAC address.
2. Split it into two 24-bit halves.
3. Insert FF:FE between the halves, creating a 64-bit value.
4. Invert the U/L bit—the seventh bit from the left in the first MAC byte.

text 
MAC:       00:1A:2B:3C:4D:5E 
EUI-64:    02:1A:2B:FF:FE:3C:4D:5E

• FE80 is the prefix commonly used for an IPv6 link-local address, not part of the EUI-64 interface ID.
• The interface ID is not random.
• The MAC address is modified by inserting FF:FE and changing the U/L bit.

• Data lakes: scalable, low-cost storage for structured, semi-structured, and unstructured data.
• Data warehouses: reliable SQL analytics, governance, and performance features.

• Data lake: Primarily provides flexible, scalable storage but may lack warehouse-style reliability and governance.
• Data warehouse: Strong for structured analytics but less flexible for raw and unstructured data.
• All of these: The individual lake and warehouse do not, by themselves, unify the siloed architecture.

• Create Power Query parameters for the Azure SQL server/database—or at least the database name.
• Use the parameter in the PBIX connection.
• Publish the same PBIX separately to the relevant development, test, and production workspaces.
• Set each dataset’s parameter value in the Power BI service so it points to the corresponding Azure SQL database.

• Development dataset ? DevelopmentDB
• Test dataset ? TestDB
• Production dataset ? ProductionDB

• The same PBIX is used for every lifecycle stage.
• Each stage consumes data from its matching database.
• Deployment pipelines are not required.
• Azure SQL is a cloud source, so gateway administration is generally avoided.
• Only the parameter value differs between published datasets, reducing maintenance.

json 
"Resource": "arn:aws:s3:::bucket-name/*"

• A: Revoking or changing an instance profile does not reliably invalidate temporary credentials that have already been issued and may still be valid.
• B: Changing the EC2 security group does not necessarily stop the attacker from using the stolen credentials from elsewhere.
• C: Amazon Macie helps discover sensitive data; Object Lock prevents modification/deletion, not reads or downloads.

• A) configure matching hold and delay timers

• B) configure matching key-strings

• C) configure matching priority values

• D) configure unique virtual IP addresses

• The problem: Guest users can’t create posts in the Monthly Reports channel.
• The recommended fix (answer B): Modify the Guest access settings in the Teams admin center.

• Guest access settings control what guests are allowed to do across Teams (for example, posting, chat, and channel participation). If guests are restricted from posting, enabling the appropriate guest permissions will let them post in channels like Monthly Reports.
• The other options don’t directly change guest permissions in the way that affects posting:

• Mesh: WAPs communicate wirelessly with one another, often to extend coverage without wired connections. It does not specifically describe centralized WLC management.
• Point-to-point: Connects two specific devices or locations.
• Ad hoc: Wireless devices communicate directly with one another without an access point.

• Customers access the portal without needing a full Dynamics 365 license.
• They submit case information through portal forms.
• The submitted data is stored in Dataverse tables, such as the Case table.
• Security is controlled using web roles and table permissions, so customers can access only appropriate records.

• Dynamics 365 Connector — connects apps to Dynamics 365 data but is not the portal’s underlying data platform.
• Microsoft SharePoint — useful for documents and collaboration, not the standard case-management data source for portals.
• Microsoft Azure Storage — stores files or other data, but is not the native portal business-data platform.

• Basic: No technical or architectural guidance.
• Standard: Technical support, but not the required design-assessment service.
• Professional Direct: Provides advisory and architecture guidance.
• Premier: Provides it too, but is unnecessarily expensive for this requirement.

• Honeypots: Decoy systems or services designed to attract attackers. Legitimate users should not access them, so activity on a honeypot is a strong indicator of unauthorized activity. Security teams can also observe attacker behavior.

• DNS sinkhole: Redirects requests for known malicious domains to a controlled internal server or blocks them. If an infected workstation attempts to contact command-and-control infrastructure, the sinkhole records the request and helps identify the compromised device.

• Tokenization: Protects sensitive data by replacing it with tokens.
• CI/CD: Automates software development and deployment.
• Threat modeling: Identifies potential risks before or during system design.
• Data obfuscation: Makes data harder to understand, but does not detect intruders.

• A. IDS attack signatures: An IDS primarily detects suspicious network activity and usually alerts rather than directly scanning and blocking uploaded files.
• C. Load balancer: Distributes traffic among servers but does not inspect files for malware.
• D. WAF: Protects web applications from attacks such as SQL injection, cross-site scripting, and some malicious requests. It is not primarily a PDF-malware scanning solution.

• In the source query: apply UPPER() or LOWER() to the column.
• In Power Query Editor: use Text.Upper or Text.Lower on the column, then load.

• This fixes the root cause when comparisons/joins depend on case.
• In DirectQuery, transformations are pushed to the source or query layer; ensure the transformation is supported by your data source/connector.
• After normalization, verify relationships and any downstream visuals that rely on that column.

• A limited lifetime
• Permissions defined by an IAM role or policy
• The ability to access AWS APIs without using long-term IAM user credentials

• Amazon API Gateway — Builds and manages APIs; it does not generally issue AWS credentials for applications.
• IAM users — Usually use long-term credentials, which are less suitable for applications.
• IAM instance profiles — Provide temporary role credentials to applications running on EC2 instances, but are specifically tied to EC2. The broader requirement described is best met by AWS STS.

• User1 can sign in because the account is cloud-only. It does not depend on the on-premises domain.
• User3 can sign in because the account uses Password Hash Synchronization (PHS). Azure AD has a synchronized password hash and can validate the sign-in even when connectivity to on-premises Active Directory is unavailable.
• User2 cannot sign in because the account relies on Pass-through Authentication (PTA). PTA sends the authentication request to an on-premises PTA agent, which must contact a domain controller. With the internet connection from on-premises lost, that validation cannot occur.

• Reusing features across different models and teams
• Consistent feature definitions
• Managing feature versions and metadata
• Using features for both training and inference

• SageMaker Data Wrangler: Prepares and transforms data; it is not primarily a shared feature repository.
• SageMaker Clarify: Helps detect bias and explain model predictions.
• SageMaker Model Cards: Documents models, including intended use, risks, and evaluation results.

• Disabling GPS: Affects location services, not email connectivity.
• Configuring 4G usage only: Does not enable international data access and could prevent connectivity if 4G is unavailable.
• Connecting using a hotspot: Could provide data, but it is not the most direct solution and depends on another network or device.

• SAMLRequest: the SAML authentication request
• RelayState: the original destination or application state

• RedirectURL: not the standard SAML parameter for preserving the original request.
• DisplayState: not a standard SAML SSO parameter.
• StartURL: Salesforce-related terminology, but not the standard parameter used in this SAML exchange.

• Storage accounts: storage1, storage2, and storage3
• Log Analytics workspace: Analytics3

• Azure Backup reports can send the AzureBackupReports diagnostic log to eligible storage accounts. The storage account’s subscription and region do not have to match the Recovery Services vault, so all three listed storage accounts are valid.
• The Log Analytics workspace must be in the same region as the Recovery Services vault for this configuration. Vault1 and Analytics3 are both in West Europe, making Analytics3 the valid workspace.

• Multiple nodes: Data is replicated several times in the primary region.
• Separate geography: A copy is asynchronously replicated to a secondary Azure region.
• Readable secondary: RA-GRS provides read-only access to the secondary replica, even when the primary region is available.

• GRS: Replicates to another region but the secondary copy isn’t normally readable.
• ZRS: Replicates across availability zones in the same region, not a separate geographic region.
• LRS: Keeps replicas within a single datacenter or region and provides no geographic redundancy.

• You provision the virtual machine.
• You manage the guest operating system, applications, and configuration.
• Azure manages the physical servers, datacenter, and underlying virtualization infrastructure.

• Correct answer: A. Inbound data transfer from the internet

• Why: AWS does not charge for data transferred into AWS from the internet. Inbound data transfer is free, regardless of the amount (in this case, 2 TB). The other options involve data leaving AWS or moving between AWS regions/AZs, which incur costs:

• Correct answer: C. AWS CloudFormation

• Why: CloudFormation lets you define infrastructure as code via templates (JSON or YAML). You can create a single template that describes multiple AWS resources and reuse it to deploy consistent stacks across environments. Templates can be parameterized and stored for repeated deployments. Other options (Marketplace, AMI, OpsWorks) don’t provide reusable deployment templates in the same way.

• Correct answer: S3 Versioning

• Why the other options aren’t suitable for this protection:

• Quick tip: For enhanced protection, enable Versioning (and consider related features like Object Lock for write-once scenarios in specific compliance cases).

• I can’t view the images, so I can’t tell which table is labeled as A in your screenshot. But here’s how to decide:

• How to identify the fact table:

• How to identify the surrogate key in the Patient table:

• Relationship:

• Planning – identifying the need, objectives, scope and resources.
• Analysis – understanding business requirements and current problems.
• Design/development – determining how the system will work.
• Implementation – installing the system and putting it into operation.

• Copilot??????????
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• Prompts and Suggestions: Retained for 28 days
• User Engagement Data: Kept for Two Years

• Permanent table (E): Correct. A dropped permanent table can be restored with UNDROP TABLE during its Time Travel retention period. Permanent tables also have Fail-safe protection.
• Transient table: It can also generally be restored during its shorter Time Travel period, although it has no Fail-safe. Therefore, excluding it makes the question questionable.
• Temporary table: Usually cannot be recovered after it is dropped; its lifecycle is limited to the session.
• Materialized view (D): The answer key treats it as recoverable, but recovery behavior depends on the specific Snowflake object/version capabilities. It should not be confused with an ordinary view.

• Amazon S3 — Object storage, not a database.
• Amazon DynamoDB — Fully managed NoSQL key-value and document database.
• Amazon Redshift — Managed data warehouse designed for analytics, not primarily transactional MySQL workloads.

• Writing with Apache Spark, typically as Delta tables.
• Reading with Apache Spark for processing and analysis.
• Reading with T-SQL through the lakehouse’s automatically generated SQL analytics endpoint.
• Reading with KQL through Fabric’s query capabilities that can access lakehouse data.

• Eventhouse: Optimized for real-time and KQL workloads, but it is not the natural destination for Spark-based writes or general lakehouse storage.
• Datamart: Intended mainly for relational analytics and Power BI; it is not designed for Spark-based data ingestion.
• Warehouse: Primarily T-SQL-based and structured. It does not provide the same native Spark write experience or flexibility for semi-structured data.

kusto 
Event 
| summarize make_set(EventID) by Computer

• summarize groups records.
• by Computer creates one result row per virtual machine.
• make_set(EventID) returns an array containing unique event IDs for that computer.

kusto 
| summarize make_list(EventID) by Computer

• Use a field on Account to show the aggregated yearly shipments (a Roll-Up Summary).
• A Master-Detail relationship between Shipment and Account is required for Roll-Up Summary to work (and to ensure access is governed by the parent Account).
• OWD and the relationship type determine what users can see. If you want to restrict shipment-level access while still showing a summary on Account, Private OWD on Shipment plus Master-Detail helps, because access to shipments is controlled by the Account record.

• A (Public OWD on Shipment with Process Builder and a Lookup to Account): Not ideal. Public access would expose shipments broadly, and a lookup cannot support a built-in roll-up summary.
• B (Private OWD on Shipment, Roll-Up Summary, Master-Detail to Account): Best answer. Private shipments, but because of Master-Detail, access and the roll-up are tied to the Account. The Account can show the yearly total via a Roll-Up Summary field.
• C (Controlled by Parent on Shipment, Trigger, Master-Detail): Master-Detail is correct, but using a trigger is unnecessary for a straightforward roll-up; roll-ups are the standard, maintainable solution.
• D (Private OWD on Shipment, Trigger, Lookup to Account): More complex and not as efficient; no automatic roll-up, and lookup breaks the ease of summarizing by Account.

• Goal: serving a static website globally with minimal latency.
• Why C works: CloudFront is a Content Delivery Network (CDN) that caches content at many edge locations around the world. When users request the site, CloudFront serves cached copies from the nearest edge location, greatly reducing latency. It also reduces load on your EC2 origin by handling many requests at the edge.
• Why the other options aren’t as good:

• Who performed the action
• What action occurred
• When it occurred
• Where it originated
• Whether it succeeded or failed

• Investigating suspicious activity: Important, but investigation depends on having adequate audit data first.
• Storage allocation: Necessary for retention, but storage does not help if the records lack meaningful details.
• Actions after audit failure: Part of operational planning, not the primary assessment of the application’s audit capability.

• Drop violating frames
• Log or alert on the violation
• Shut down or restrict the port

• Load balancer: Distributes application traffic; it does not control switch MAC learning.
• IPS: May detect some network attacks but is not the primary control for switch MAC-table exhaustion.
• NGFW: Protects traffic crossing network boundaries, while MAC flooding occurs at the switching/LAN layer.