Fortinet NSE7_SDW-7.0 Exam Prep
Fortinet NSE 7 - SD-WAN 7.0 (Page 5 )

• File1 contains the evaluation configuration—for example, evaluators, test data, thresholds, or evaluation parameters.
• The GitHub Actions workflow must reference that file through the evaluation-config input so the action knows which evaluation to run.
• project-endpoint identifies the Microsoft Foundry project, but it does not identify the evaluation definition. It is also typically required, but it does not answer the specific requirement about using File1.

• Training data for potential bias before model training
• Trained models for bias in predictions
• Model features to help explain how they influence predictions

• A: RAG workflows are typically built using services such as Amazon Bedrock, knowledge bases, and data sources.
• B: Monitoring model quality in production is primarily associated with SageMaker Model Monitor.
• C: Documenting model details is handled by capabilities such as SageMaker Model Cards.

• RTO is how quickly service must be restored.
• RPO is how much data loss is acceptable.

• Snapshots: Restore points may be older and require restoration time.
• On-site backups: Usually require rebuilding or restoring systems, producing higher RTO/RPO.
• Journaling: Records database changes and can reduce data loss, but it still generally requires recovery or replay operations; it does not by itself provide the fastest service restoration.
• Hot site: Designed for rapid failover and minimal data loss.

1. Horizontal scaling — Yes

1. Vertical scaling — Yes

1. Scaling can manage costs — Yes

• Horizontal = more or fewer instances
• Vertical = larger or smaller instances

• Determine the project budget — Budget development is a separate cost-management activity.
• Develop a communication plan — This belongs to project communications planning, not schedule completion.
• Establish baselines — Baselines are created after the schedule and related plans have been developed and approved. They formally capture the approved plan.

• Fine-tuning requires a properly formatted training dataset.
• For classification or instruction-style fine-tuning, examples are supplied in JSONL format.
• Each line represents one training example, typically containing the input prompt and the desired completion or label.
• The file must then be uploaded or made available to the Microsoft Foundry fine-tuning workflow.

• A: Prompt Flow is useful for prompt experimentation, but it is not required to start fine-tuning.
• B: You do not need to deploy the base model to an online endpoint before fine-tuning.
• C: Tracing supports observability and evaluation, but it does not prepare the fine-tuning job or dataset.

• Custom domains: Supported by Basic and higher tiers.
• Dedicated compute: Basic and Standard use dedicated virtual machine instances; Free and Shared use shared infrastructure.
• Load balancing between instances: Standard provides scaling across multiple instances with load balancing.
• Storage: Standard provides more storage than Basic.
• Cost: Standard is the least expensive option that satisfies all the stated requirements.

• Free/Shared: Use shared compute and have limited features; they don’t meet the dedicated-compute requirement.
• Basic: Provides dedicated compute and custom domains, but does not provide the required Standard-level multi-instance capabilities in the exam’s feature comparison.

• Which batches and markets are affected
• Whether the deficiency affects product quality, efficacy, or patient safety
• Whether the issue is an ongoing manufacturing problem
• Whether immediate containment or distribution suspension is needed

• A — Withdraw the product: may be necessary, but is premature before assessing the risk.
• B — “Dear Dr.” letter: may be appropriate later, depending on the risk.
• C — Notify global authorities: may become mandatory, but the scope and urgency depend on the assessment.

• True positive: The scan reports a vulnerability that really exists.
• False positive: The scan reports a vulnerability that does not exist.
• True negative: The scan correctly reports no vulnerability.
• False negative: The scan fails to detect a vulnerability that is actually present.

• Creating and training machine-learning models
• Testing and evaluating models
• Deploying models as usable endpoints

Step 1: Calculate the rights issue price

Step 2: Calculate the number of new shares

Step 3: Calculate the value after the issue and project

• Rights issue proceeds: $21.6m
• Project NPV: $5m

Step 4: Calculate the theoretical ex-rights price

• state preserves the client’s original context, such as the specific idea URL the user requested.
• The portal sends that value in the OAuth authorization request.
• Salesforce returns it after authorization, allowing the portal to redirect the user to the original idea rather than the Ideas home page.

• Internal audit: Reviews the organization’s own controls and processes.
• Penetration testing: Actively tests systems for exploitable vulnerabilities.
• Attestation: A SOC 2 report is an attestation product issued by an independent auditor, but the analyst is not performing the attestation. They are reviewing it as part of vendor evaluation.

• FUNCTION (D)
• SECURITY POLICY (E)

1. Create an inline table-valued filter predicate function. It defines which rows a user may see, often by comparing a table column with the current user identity.
2. Create a security policy that applies that function to Table1. The policy filters query results automatically.

• Case Assignment Rules normalmente são avaliadas quando o caso é criado. Elas podem ser executadas novamente em uma edição somente se o usuário marcar “Assign using active assignment rules”; isso não acontece automaticamente apenas porque o caso foi fechado.
• Portanto, criar uma regra de atribuição não corrige os centenas de casos já fechados e não garante, por si só, que um caso será transferido antes de ser fechado.

• B — Usar uma ferramenta de dados: corrige os registros históricos já existentes, atualizando o Owner.
• D — Criar uma regra de validação: impede que um caso seja fechado enquanto ainda pertence a uma fila. Exemplo conceitual: se Status = Closed e o proprietário for uma fila, bloquear o salvamento.

• Identify the causes of delays.
• Improve its workflow and collaboration.
• Adjust tools or development practices.
• Discuss improvements during retrospectives and apply them in future sprints.

• A: An impediment log can help track issues, but merely maintaining one does not remove the impediments.
• B: Directing the team toward solutions reduces team ownership and self-organization.
• C: Adding impediments to the product backlog may be appropriate in some cases, but it does not automatically ensure they are addressed promptly.
• D: Best reflects agile leadership: empowerment, continuous improvement, and removal of impediments.

• Controlar o fluxo de dados entre S3 e SageMaker;
• Aplicar regras de segurança por meio da VPC;
• Reduzir a exposição dos dados;
• Permitir acesso privado ao bucket do S3.

• Amazon Inspector: avalia vulnerabilidades, mas não gerencia o fluxo de dados.
• Amazon Macie: ajuda a descobrir e proteger dados sensíveis no S3, mas não cria a conexão com o SageMaker.
• S3 Glacier Deep Archive: é uma classe de armazenamento para arquivamento, não uma solução de conectividade.

• Static IP address: Not needed if the workstation already has network connectivity.
• Subnet mask: Incorrect subnetting would usually prevent local communication, including pinging the server.
• Default gateway: Primarily affects communication outside the local network; it does not normally prevent finding an internal domain controller.

• Honeypots: Decoy systems designed to attract attackers. Legitimate users should not access them, so activity there is a strong indication of unauthorized access.
• DNS sinkholes: Redirect requests for known malicious domains to a controlled internal destination instead of the real attacker infrastructure. Security teams can then identify infected systems making those requests.

• Tokenization: Replaces sensitive data with non-sensitive tokens; it protects data but does not detect intruders.
• CI/CD: Software development and deployment processes.
• Threat modeling: Identifies potential threats before or during system design, rather than detecting successful infiltration.
• Data obfuscation: Makes information harder to understand, but is not an attacker-detection mechanism.

• Correct exam answer: A — HKEY_LOCAL_MACHINE
• The relevant location is associated with HKEY_LOCAL_MACHINE\SAM.
• The SAM does not store passwords in plain text; it stores password hashes.

• HKEY_CURRENT_USER contains settings for the currently logged-in user, not the account-password database.
• HKEY_USERS contains user profiles and settings loaded for users.
• HKEY_CURRENT_CONFIGURATION contains hardware/profile configuration information.

• C. An auto-labeling policy for a retention label
• D. A retention label

1. Create a retention label configured to:

1. Create an auto-labeling policy that detects the built-in Credit Card Number sensitive information type (SIT) and automatically applies the retention label to matching messages and documents.

• A — .gitignore: Controls Git tracking; it does not configure Copilot exclusions.
• B — copilot.ignore: This is not the standard GitHub Copilot Business exclusion mechanism.
• D — Renaming files: Adding _no_copilot has no recognized effect.

• Regression predicts continuous numeric outcomes, such as house price, temperature, or sales amount.
• Linear regression assumes the target can be estimated from a linear relationship between the input features and the target.
• In Azure Machine Learning, you use a labeled dataset containing:

• Classification predicts a category or class, such as “spam” or “not spam.”
• Clustering groups similar records without a known label; it is an unsupervised learning technique.

• Information sources: Collect security-related data, such as network packets, system logs, audit records, or application events.
• Analysis: Examines the collected data to identify suspicious activity, attacks, or policy violations.
• Response: Takes or recommends action, such as generating alerts, logging the event, or supporting a protective response.

• Amazon EC2 instances — ???????? ?? ?? ??????? CPU, memory ??? instance size ???????? ???????
• AWS Lambda functions — memory configuration ?????????? ???????
• Amazon EBS volumes — volume type ?? size optimize ???? ???????
• ??????? ECS workloads — resource configuration ? cost optimization-?? ???????

• Memory ? compute usage ?????????? ???? custom code ????? ???? development ? maintenance ??????
• Cost allocation tags ???? ????? ??? ?????? ???? ??????? ???; inefficient resource ??????? ?? recommendation ???? ???
• CloudTrail resource ???? ?? API activity ??????, resource utilization ????

• SQL injection: Manipulates database queries through application input.
• XML external entities (XXE): Abuses XML parsers to access files, internal systems, or other resources.
• Cross-Site Request Forgery (CSRF): Tricks an already authenticated user’s browser into sending an unwanted request. It generally does not steal session cookies.

• Maximum response and resolution times
• Expected uptime or availability
• Performance requirements
• Escalation procedures
• Consequences for failing to meet requirements

• SOW: Defines a project’s scope, tasks, deliverables, and schedule.
• MOA: Documents specific responsibilities agreed upon by two parties.
• MOU: Records a general understanding or intent to cooperate.

• Compute: Not used; no virtual warehouse is required.
• Data Storage: Not scanned again.
• Metadata: May help Snowflake manage and validate cached results, but it is not the Snowflake architectural layer identified as serving the request.
• Cloud Services: Handles query coordination, metadata services, authentication, and result-cache access.

• Azure DevOps Analytics views are accessed through the Power BI Azure DevOps (Boards only) connector.
• This connector authenticates directly to Azure DevOps Services and lets you select an Analytics view.
• Analytics views allow filtering and shaping data in the cloud before Power BI loads it.
• Azure DevOps Server (Boards only) is for an on-premises Azure DevOps Server instance, not Azure DevOps cloud.
• A generic OData Feed connection can access OData endpoints, but it is not the purpose-built connector for Azure DevOps Analytics views.
• “OData queries” describes the underlying technology or query approach, not the most appropriate Azure DevOps connector choice here.

• Deterministic approve/reject results
• Strict adherence to predefined rules
• Consistent, reproducible outcomes
• Auditability and regulatory compliance

• User2 is in Group1, so CA2 applies.
• CA2 targets Office 365.
• CA2 requires MFA OR an app protection policy.
• User2 has no app protection policy, but if User2 successfully completes MFA, the OR condition is satisfied.
• The device being noncompliant does not matter because CA2 does not require device compliance.
• CA1 applies only to Global Administrators. Unless User2 is also a Global Administrator, CA1 does not apply.

• The ERSPAN source is the device or interface whose traffic is being copied.
• The ERSPAN destination is the device receiving the encapsulated copy and forwarding it to the traffic analyzer.
• The local monitor session number is locally significant. Therefore, the source and destination do not need matching session IDs such as 47 or 48.
• The erspan-id identifies the ERSPAN stream and must correspond between the source and destination configuration.

• Load balancer: Distributes application traffic; it does not protect switch MAC tables.
• IPS: May detect some attack traffic, but it is not the primary control for switch-port MAC learning.
• NGFW: Protects at network boundaries but does not directly limit MAC addresses learned on access ports.

• Two-part tariff pricing: $10 per unit
• Dual pricing: $20 per unit

Two-part tariff pricing

Dual pricing

• Division X, the seller, is credited with the market price: \(\$20\)
• Division Y, the buyer, is charged the marginal cost: \(\$10\)

• A: Knowledge of IT platforms, networks, and methodologies — Useful technical knowledge, but the CISO does not need to be the deepest technical expert.
• C: Regulatory and project management knowledge — Important, but compliance and projects must still support the organization’s broader needs.
• D: Managing people and resources — Essential for execution, but effective management of the wrong security priorities will not produce good results.

1. System prompts can authorize users — No

1. System prompts can reduce TPM consumption — Yes, with qualification

1. System prompts guide generative AI behavior — Yes

• The listener uses a virtual IP address shared by the availability-group replicas.
• Floating IP, also called Direct Server Return (DSR), allows the SQL Server nodes to respond using the listener’s IP address rather than their individual VM IP addresses.
• This is required for the availability-group listener to function correctly with an Azure internal load balancer.

• Honeypots: Decoy systems or services designed to attract attackers. Legitimate users should not access them, so activity there is a strong indicator of compromise.
• DNS sinkholes: Redirect malicious or suspicious DNS requests to a controlled destination. This can identify infected systems attempting to contact command-and-control infrastructure.

• Tokenization: Replaces sensitive data with non-sensitive tokens; it is not an attacker-detection method.
• CI/CD: Automates software development, testing, and deployment.
• Threat modeling: Identifies potential threats and weaknesses before or during system design; it does not directly detect an active infiltrator.
• Data obfuscation: Makes information harder to understand, but does not identify attackers.

• A — Tables
• B — Named file formats
• C — Schemas
• E — Databases

Why these are correct

• Tables: Can be cloned using CREATE TABLE ... CLONE. The clone initially uses zero-copy cloning, so storage is shared until changes are made.
• Named file formats: Can be cloned as database objects, preserving the file-format definition.
• Schemas: A schema and its eligible objects can be cloned.
• Databases: A database and its eligible schemas and objects can be cloned.

Why the others are incorrect

• Shares: A share is an account-level data-sharing object, not a normal cloneable database object.
• Users: Users are security principals and cannot be cloned with CLONE.

• Accept: Acknowledge the risk and take no additional action.
• Mitigate: Reduce the likelihood or impact of the risk through controls.
• Avoid: Eliminate the activity or situation causing the risk.
• Transfer: Shift responsibility or financial impact to another party, such as through insurance or a contract.

• Customer information must not be revealed ? PII Detection
• Malicious instructions embedded in images/documents must be blocked ? Prompt Shields

• If the question allows multiple selections, choose PII Detection and Prompt Shields.
• If it requires one selection specifically for the image-based threat, choose Prompt Shields.

• Process Builder: Automates actions based on record changes; it does not create interactive user forms.
• Approval Process: Routes records for approval and captures approval decisions.
• Outbound Message: Sends information to an external system; it does not provide a user interface.

• Response and resolution times
• Availability or uptime
• Performance targets
• Support obligations
• Penalties for failing to meet commitments

• SOW (Statement of Work): Describes the work, deliverables, scope, and tasks.
• MOA (Memorandum of Agreement): Documents a formal agreement about roles or responsibilities.
• MOU (Memorandum of Understanding): Records a general mutual understanding, often without detailed service metrics.

• A script of cloud CLI commands: IaC because the commands can be saved, reviewed, versioned, and rerun consistently.
• Manually run curl commands: Not necessarily IaC; they are manual actions unless organized into an automated script.
• A sequence of REST requests passed to an API: Could represent automation, but the wording does not explicitly say they are stored and executed as reusable code.
• Commands entered into a cloud console: Manual operation, not IaC.

• A. IDS attack signatures: An IDS primarily detects suspicious network activity; it is not the best control for scanning uploaded documents for malware.
• C. Load balancer: Distributes traffic among servers and improves availability, but does not inspect files for malware.
• D. WAF: Protects web applications against attacks such as SQL injection and command injection. It may help secure the upload function, but malware scanning is the key requirement here.

• Gathering structured feedback from team members and relevant stakeholders
• Reviewing observed behaviors and completed work
• Using a feedback or performance-assessment method suitable for the project environment

• A — Identify levels of decision-making authority: Concerns governance and delegation, not performance evaluation.
• B — Evaluate demonstrated task accountability: This could be an input to feedback, but it does not establish a complete or fair evaluation method.
• D — Analyze team member influence: Focuses on influence and stakeholder/team dynamics, not overall performance.

• host — simple, human-friendly lookups

bash 
  host example.com 
  host 192.0.2.1

• dig — detailed DNS troubleshooting

bash 
  dig example.com 
  dig example.com MX 
  dig @8.8.8.8 example.com

• nslookup — older, familiar, and widely available

bash 
  nslookup example.com

• Quick answer: host
• Detailed diagnosis: dig
• Compatibility or legacy environments: nslookup