ACAMS CGSS Exam Prep
Certified Global Sanctions Specialist (Page 2 )

• A. IDS attack signatures: Detects suspicious network activity, but is not primarily designed to scan uploaded files for malware.
• C. Load balancer: Distributes traffic among servers and improves availability; it does not inspect files for threats.
• D. WAF: Protects web applications from attacks such as SQL injection and command injection, but its primary role is not malware scanning of uploaded documents.

• CSIRT: A team that responds to and manages security incidents.
• CVSS: A scoring system for rating the severity of vulnerabilities.
• SOAR: A technology platform for automating and coordinating security operations and incident response.

• Liability accounts (2000–2999) would incorrectly require dimensions, although they should have none.
• Expense accounts (6000–6998) would incorrectly require Customer, which should be optional.
• Account 6999 needs a separate rule because it requires all four dimensions, including Customer.

• 2000–2999: no dimensions
• 4000–4999: Department and Division required; Project and Customer optional
• 6000–6998: Department, Division, and Project required; Customer optional
• 6999: Department, Division, Project, and Customer required

• A — VARIANT "null" values are not the same as SQL NULL values: True

• B — Frequent, single-row DMLs: False

• C — Validate data before loading into the target table: True

• D — Use staging tables to manage MERGE statements: True

• Due diligence: Investigating and evaluating a third party before entering a business relationship.
• Attestation: An independent auditor’s examination and formal report—such as the SOC 2 report itself. The analyst is reviewing the attestation, not performing it.
• Internal audit: Examines the organization’s own processes and controls.
• Penetration testing: Actively tests systems for exploitable vulnerabilities.

• 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.

• A — Windows 11 with Azure CLI installed: Yes

• D — Chrome OS using Azure Cloud Shell: Yes

• E — Windows 10 with the Azure PowerShell module installed: Yes

• B — Linux with only Azure CLI: No, because the option does not state that PowerShell is installed.
• C — macOS with PowerShell Core only: No, because it does not state that Azure PowerShell modules or Azure CLI are installed.

• Architects design overall Splunk infrastructure and data strategy.
• Administrators manage configuration, access, and system operations.
• Knowledge Managers create and maintain knowledge objects such as data models, field extractions, and event types. They may support pivots, but they are not the primary users of them.

• Who owns security risks and decisions
• Who is responsible for implementing controls
• Who reports security performance to management
• How security responsibilities align with business objectives

• B — Compliance with audit requirements: Governance may support compliance, but audit compliance is not its main objective.
• C — Monitoring security incidents: This is an operational security activity, not the central purpose of governance.
• D — Creation of tactical solutions: Governance establishes direction and oversight; tactical solutions belong to management and operational teams.

• Enforce organizational rules, such as allowed regions or required tags
• Audit resources for compliance
• Deny noncompliant deployments
• Aggregate compliance results across subscriptions

• 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.

bash 
OTEL_SERVICE_NAME=foundry-agent

bash 
OTEL_SERVICE_NAME=langchain-service

python 
import os 


os.environ["OTEL_SERVICE_NAME"] = "langchain-service" 


from azure.ai.openai... # import your tracing components 
from azure.monitor.opentelemetry import configure_azure_monitor 


configure_azure_monitor( 
    connection_string=os.environ["APPLICATIONINSIGHTS_CONNECTION_STRING"] 
)

• Agent application: OTEL_SERVICE_NAME=foundry-agent
• LangChain application: OTEL_SERVICE_NAME=langchain-service

• GPS coordinates
• Date and time the image was taken
• Camera or device model
• Exposure settings

• Log data: Records events or activities, such as system or application activity.
• Encrypted data: Information intentionally encoded to prevent unauthorized access.
• Sensitive data: A broad classification for information requiring protection; geolocation may be sensitive, but the technical type stored in the image is metadata.

• UPS battery-backed outlets: Connect only essential devices needed during an outage:

• Surge-protector-only outlets: Connect nonessential devices, especially the printer. Printing does not need to continue while you are saving work and shutting down.
• UPS power source: Plug the UPS directly into a wall outlet.
• Surge protector power source: Plug it directly into a wall outlet as well. Do not normally plug a surge protector into the UPS, because that creates a daisy chain and can overload the UPS.

• 10 minutes have elapsed, or
• 20 MB of accounting data has accumulated

• Documented and formally requested
• Analyzed for security, cost, and operational impact
• Reviewed and approved by the appropriate personnel
• Tested before implementation
• Tracked and reversible if problems occur

• Risk management process: Identifies and evaluates risk, but does not directly authorize design changes.
• Product design process: Applies primarily while creating or developing the product.
• Design review process: May have identified the issues, but the next step for changing an already released design is controlled change management.

• B. Versioned configuration files — Infrastructure is defined in machine-readable files and tracked in version control, allowing repeatable provisioning and change history.
• D. Docker files — Assuming “Doctor files” is a typo for Dockerfiles, a Dockerfile declaratively defines how to build a container image and is commonly considered infrastructure/configuration as code.

• A. Cloned virtual machine images — These are prebuilt infrastructure artifacts, but cloning an image is not itself a code-based infrastructure definition.
• C. Change management database records — A CMDB records information about infrastructure; it does not define or provision that infrastructure.

• Security
• Availability
• Processing integrity
• Confidentiality
• Privacy

• Whether controls are suitably designed, and
• Whether they operated effectively over a period of time

• Accept terms of use
• Enter a temporary code or credentials
• Provide basic registration information

• Enterprise authentication — Authenticates organizational users, often with centralized identity services; it is not specifically designed for temporary guest access.
• Ad hoc network — A temporary device-to-device network, not an authentication process.
• WPA3 — A wireless security standard. It protects Wi-Fi access but does not provide the web-based temporary access workflow described here.

• QuickVisualize is used to create and render a Power BI report from a DataFrame.
• The typical pattern is:

python 
PBI_visualize = QuickVisualize( 
    get_dataset_config(df), 
    auth=device_auth 
) 


PBI_visualize

• get_dataset_config(df) prepares the dataset configuration.
• auth=device_auth supplies authentication for the Power BI connection.
• Evaluating PBI_visualize renders the report in the notebook.

• Box 1: No
• Box 2: Yes
• Box 3: Yes

• netstat -tuln can show listening TCP ports.
• If the web service is not listening, or is bound only to 127.0.0.1, remote browsers cannot connect even though the server responds to ping.

• traceroute: Tests the path to the server, but ping already confirms basic reachability.
• tcpdump: Useful for detailed packet analysis, but it is more appropriate after checking whether a service is listening.
• arp: Helps troubleshoot local IP-to-MAC resolution, not an application-layer web connection.

• User-generated content: precisa ser coletado, filtrado, anonimizado e rotulado.
• Moderation logs: podem conter dados inconsistentes, informações pessoais e decisões que precisam ser revisadas.
• Content moderation guidelines: são regras ou orientações, não dados diretamente utilizáveis para medir o comportamento do modelo.

• Virtual introductions: Team members share their role, experience, location, and working preferences.
• Online icebreakers: Short, informal activities such as “two truths and a lie.”
• Virtual coffee chats: Pair team members for informal, non-project conversations.
• Collaborative problem-solving: The team works together on an online puzzle or scenario.
• Retrospectives: The team discusses what went well, what did not, and how to improve.
• Working-agreement sessions: The team agrees on response times, meeting etiquette, communication channels, and handoffs.
• Recognition sessions: Members acknowledge one another’s contributions.
• Remote workshops: Teams jointly create plans, diagrams, or schedules using collaboration tools.

• Azure Machine Learning Studio is designed to build, test, train, and deploy machine-learning models, including predictive analytics.
• Azure Cosmos DB is a globally distributed NoSQL database. It can store data used by an AI solution, but it is not the primary service for developing and deploying predictive models.
• Therefore, the appropriate recommendation is Azure Machine Learning Studio, as shown in Question 15.

• 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.

• Employees can work from any location, including remote sites and offices worldwide.
• Login can be relatively seamless after the device is registered.
• It does not require distributing additional physical authentication equipment.

• Geotagging: Identifies location, but location alone is not a strong authentication method and may prevent legitimate remote access.
• Smart cards: Provide strong authentication but require card readers and physical cards, increasing equipment and management requirements.
• Time-based logins: Typically involve one-time codes that users must enter, making the experience less seamless and potentially requiring a token or authenticator app.

• 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.

• Instant messaging/chat: Can be abused to send malicious links or attachments, but P2P file sharing is the more direct high-risk source.
• E-mail: A common malware delivery method, but this question specifically emphasizes an application type associated with direct file exchange.
• End-to-end applications: This describes communication protection or architecture, not a specific application category known for malware distribution.

• Allow the team to identify the causes of delays.
• Encourage improvements to processes, tools, and collaboration.
• Help remove impediments without dictating solutions.
• Protect quality and maintain a sustainable pace.

• A: An impediment log may help track issues, but merely recording them does not resolve the root causes.
• B: Directing teams toward solutions conflicts with the agile principle of a self-managing team.
• C: Adding impediments to the product backlog may delay their resolution and incorrectly treats them as product features.

text 
user<TAB>action<TAB>status

text 
user|action|status

• Colons: Although colons commonly appear in log data, they are not a supported delimiter choice in the FX workflow described by this exam question.
• Spaces: Spaces are not treated as a supported delimiter for this extraction method; ordinary text often contains variable spacing.

• Each directory is a separate identity boundary.
• Managing multiple directories increases administrative overhead.
• Users and administrators may need separate identities or additional configuration across tenants.
• Resources in a subscription are associated with one Microsoft Entra tenant.

• Management groups for governance across subscriptions
• Separate subscriptions for divisions when appropriate
• Resource groups to organize resources
• Azure role-based access control (RBAC) to give each division’s administrator access only to their own resources

• The S3 bucket as an origin for static content
• The Application Load Balancer (ALB) as an origin for dynamic content
• An Amazon Route 53 alias record pointing the application domain to CloudFront

Why this works

• Static data: CloudFront caches objects from S3 at edge locations, reducing latency for users worldwide.
• Dynamic data: CloudFront forwards requests that require application processing to the ALB. It can also maintain persistent connections and use the AWS global edge network to improve delivery performance.
• One domain: CloudFront behaviors can route different path patterns to different origins—for example, /static/* to S3 and other paths to the ALB.

Why the other options are incorrect

• Global Accelerator is designed primarily for accelerating traffic to applications with endpoints such as ALBs, not for caching S3 content.
• Using separate domains or splitting static and dynamic traffic adds unnecessary complexity.
• CloudFront already provides the required global edge distribution and caching, so combining it with Global Accelerator is unnecessary here.

• Guest access: Controls external users invited into your teams as guests. It is not the primary setting for restricting federated communication by domain.
• Messaging policy: Controls messaging features, such as chat or message editing, rather than which organizations users can communicate with.
• Org-wide Teams settings: Contains broad Teams-wide configuration, but domain-based external communication is configured under External access.

• Measurement bias: Errors in how features or labels are measured, such as unreliable camera data or inconsistent labeling.
• Observer bias: A human evaluator’s subjective judgment influencing observations or labels.
• Confirmation bias: Favoring information that supports an existing belief.

• Which host first communicated with the suspected malicious source
• Whether that host initiated suspicious traffic or merely received it
• Which other hosts show evidence of infection, such as connections from the originating host
• Which hosts have no related suspicious activity and are therefore clean

• An outbound connection to a suspicious external address
• A downloaded or executed malicious file
• Later lateral connections from that host to other internal systems
• Firewall logs showing the direction and timing of the traffic

• Existing Eventhouse data: remains available only in the KQL database.
• Data ingested after enabling the feature: is copied to OneLake and can be accessed through OneLake file explorer.
• New databases: are irrelevant; the setting applies to the selected KQL database.

• 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.

• Driver node: Coordinates Spark jobs and runs in the compute environment.
• Worker node: Executes tasks and processes data.
• Databricks Filesystem (DBFS): Provides storage access for data used by compute resources.

• 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.

• Accept: Acknowledges the risk without taking additional action.
• Transfer: Shifts the risk or financial impact to another party, such as an insurer.
• Mitigate: Reduces the likelihood or impact through controls like patching, MFA, or segmentation.
• Avoid: Eliminates the activity that creates the risk.

• A — Increased call deflection: o KCS disponibiliza conhecimento reutilizável para clientes e agentes, ajudando a resolver dúvidas sem abrir ou continuar chamadas.
• C — Reduced issue resolution time: os representantes reutilizam artigos e soluções já documentadas, acelerando o atendimento.
• E — Optimized use of resources: o conhecimento compartilhado reduz retrabalho e melhora o uso dos recursos da equipe.

• D — Value analysis: Correct. It examines an existing product to identify ways of reducing its cost while still providing the required functions, quality and reliability.
• E — Kaizen costing: Correct. It involves making continuous, small improvements and cost reductions while the product is already in production.

• Functional analysis: It is not limited to minimizing the cost of the originally defined functions. It examines what functions are required and how they can be provided at the lowest overall cost.
• Value engineering: Usually applies to the design and development of a new product, rather than being a fundamental redesign of existing organisational processes. That description is closer to business process re-engineering.
• Target costing: The target cost is generally established during the product development stage, before production begins. It is not continuously reset while the product is in production.

• Sets a high initial price for a new product.
• Targets customers willing to pay more, often called early adopters.
• Gradually reduces the price to attract more price-sensitive customers as the product becomes less novel and competition increases.

• Penetration pricing: starts with a low price to gain market share quickly.
• Premium pricing: maintains a high price to communicate superior quality or status; it does not necessarily involve later price reductions.
• Loss leader pricing: sells one product at a very low price, sometimes below cost, to attract customers who may buy other products.

• S3 Glacier Deep Archive is designed for long-term archival data with very infrequent access and has a lower storage cost than S3 One Zone-IA.
• The documents are copies stored elsewhere, so reduced availability and delayed retrieval are acceptable.
• An S3 interface VPC endpoint allows private access from the VPC without exposing the bucket through the public internet.
• A bucket policy can restrict access to requests coming through that endpoint.

• Existing measures
• Relationships
• Calculated columns
• Tables and fields
• Existing transformations in the model

• SharePoint folder: Reconnects to the source files. You would likely need to recreate the model and measures.
• Power BI dataflows: Primarily provide reusable data preparation and storage, but they do not automatically provide the existing semantic model and measures.
• Excel workbook: Connects directly to the source file and would also require rebuilding the model and measures.

• Tokens: Individual units of text processed by a model, such as words, subwords, or characters.
• Models: Systems that learn patterns and generate predictions or outputs.
• Binaries: Data represented using the binary number system, not semantic representations.

• Sales revenue is affected because internal sales are recorded at the transfer price.
• Operating profit is affected because revenue changes while costs may remain unchanged.
• Return on investment (ROI) is affected because ROI depends on operating profit and the division’s investment.
• Cost of components purchased is not affected by the transfer price. These are costs incurred when buying components from external suppliers, not the internal price charged for the division’s output.

• AWS Network Firewall can inspect and block traffic across a VPC when traffic is routed through the firewall. A Drop action rule can deny traffic from the suspicious source IP.
• GuardDuty findings are sent to Security Hub.
• A Lambda function can be invoked when Security Hub receives a new GuardDuty finding, extract the source IP, and update the Network Firewall policy with a blocking rule.

• GuardDuty threat lists: Used to identify or increase the severity of findings; they do not directly block VPC traffic.
• AWS WAF: Protects supported web applications, such as CloudFront or Application Load Balancers. It does not provide general VPC-wide traffic blocking.
• GuardDuty suppression rules: Suppress or hide findings. They do not block the suspicious traffic.

• A static IP gives the surveillance system a predictable local address, so users can reliably reach it on the LAN.
• However, a static IP does not block internet-based login attempts. If the router exposes the device through port forwarding, attackers could still reach it.
• Port mapping normally exposes an internal service externally, so A is a poor choice as written.
• Subnetting alone also does not block traffic; it would require routing/firewall rules.

• Transport and handling
• Storage and warehousing
• Refrigeration
• Shelf-stacking or replenishment
• Other costs directly attributable to product P