Genesys GCP-GC-ARC Exam Prep
Genesys Cloud Architect Certified Specialist (Page 4 )

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

• B — The glass core component is encased in a cladding.

• D — Light is transmitted through the core of the fiber.

• BNC connectors are associated mainly with coaxial copper cabling, not standard fiber connections.
• Data does not pass through the cladding; the cladding helps reflect and contain the light.
• RJ-45 connectors are used with copper Ethernet cabling, not fiber-optic interfaces.

• B — Incorporate contextual output encoding/escaping: Encode untrusted data based on its context—HTML, attribute, JavaScript, or URL—so the browser treats it as data rather than executable code.
• D — Run untrusted HTML input through an HTML sanitization engine: Sanitization removes or neutralizes dangerous elements and attributes, such as script-related content, while preserving safe HTML where needed.

• A: Enabling client-side scripts does not prevent XSS. Script restrictions may reduce risk in some environments, but “enable” is not a general XSS control.
• C: Cookie inspection is unrelated to preventing injected scripts.
• E: The SameSite cookie attribute primarily helps mitigate CSRF, not XSS. It should not generally be described as an XSS prevention measure.

• The Print Spooler is a Windows service.
• Services can have dependencies—other services that must be running first.
• If a dependency fails, the Print Spooler may repeatedly fail to start.
• In the Services tool, the technician can view the service’s Dependencies tab, start or restart services, and configure startup behavior.

• Processes: Shows currently running applications and processes.
• Startup: Controls which programs launch during Windows startup.
• Performance: Displays resource usage such as CPU, memory, disk, and network activity.

• Menerjemahkan soal ke bahasa Indonesia.
• Menyebutkan jawaban yang benar.
• Menjelaskan alasan jawaban tersebut.
• Memberi tahu jika kunci jawaban yang tersedia tampaknya keliru.
• Menjelaskan istilah teknis penting dalam soal.

• Understating expenses and liabilities
• Overstating profit
• Misleading users of the financial information
• Potentially breaching integrity, objectivity, and professional competence and due care

• IaaS: You deploy and manage virtual machines, including the operating system and installed software. Azure manages the physical datacenter, hosts, and networking infrastructure.
• PaaS: Azure manages the infrastructure and operating system, while you deploy and manage your application code. Examples include Azure App Service and Azure Functions.

• Matching hashes: The software likely has not changed.
• Different hashes: The software was modified or corrupted.

• Encryption: Protects confidentiality by making data unreadable; it does not primarily detect changes.
• Baselines: Define an approved system or configuration state, but they are not the specific integrity mechanism here.
• Tokenization: Replaces sensitive data with substitute values.

• CBWFQ (Class-Based Weighted Fair Queuing): Creates traffic classes and assigns each class a guaranteed bandwidth or queueing treatment.
• PQ (Priority Queuing): Uses multiple queues with strict priority. Higher-priority queues are serviced before lower-priority queues, making it useful for delay-sensitive traffic—but it can starve lower-priority traffic.

• FRTS: Traffic shaping for Frame Relay; it controls the transmission rate rather than selecting packets during congestion.
• CAR: Polices traffic by rate, typically dropping or remarking packets that exceed a limit.
• PBR: Policy-Based Routing; it selects forwarding paths and is not a QoS queueing mechanism.

Statement 1 — Correct

Statement 2 — Correct

• Rights issue: Raises new equity from existing shareholders. It does not increase debt or gearing, so it is least likely to breach the covenant.
• Retained earnings: Also equity finance, but the amount available may be insufficient for the required $800 million.
• Private placement of a bond: Creates additional debt and would worsen gearing, increasing the risk of breaching the covenant.
• Bank overdraft: Also debt finance, usually short-term and potentially expensive; it would still increase financial risk and gearing.

• C. Case after-insert trigger that publishes a Platform Event

• D. Custom Apex controller that publishes a Platform Event

• A. Trigger with a callout: Salesforce triggers should not make direct synchronous callouts, and this tightly couples transaction processing to the external system.
• B. Workflow Rule with Outbound Message: This can react to record changes, but it cannot reliably capture a user clicking a menu item. It also does not provide the same flexible event-driven model as Platform Events.

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

DAX 
Previous Year Sales = 
CALCULATE( 
    [Total Sales], 
    PARALLELPERIOD('DATE'[Month], -1, YEAR) 
)

• CALCULATE evaluates [Total Sales] after modifying the filter context.
• PARALLELPERIOD shifts the current date period. -1 moves it backward, and YEAR specifies a one-year shift.
• 'DATE'[Month] is the date column used for the time calculation. In a proper date table, this should be a real date column or an appropriate calendar column—not merely text such as "January".

• 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.

• Help the team identify the root causes of delays.
• Empower the team to improve its workflow and practices.
• Facilitate removal of impediments.
• Avoid directing the team toward a solution without its involvement.
• Protect quality and sustainable delivery rather than simply accelerating everything.

• A: An impediment log may help, but merely recording problems does not empower the team to solve them.
• B: Directing the team to solutions conflicts with self-management.
• C: Adding impediments to the product backlog may incorrectly treat internal obstacles as product features and delays their resolution.

• Azure Cosmos DB is a globally distributed NoSQL database service. It stores and retrieves application data, but it does not provide the complete environment for building, testing, and deploying predictive analytics models.
• Azure Machine Learning is the appropriate service for this requirement. It supports creating experiments, training and testing models, and deploying them for predictions.
• Azure Machine Learning Studio provides the browser-based interface for these tasks.

• Note the question number before leaving—for example, Question 38.
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1. Version 1.0.0.0 — original published version
2. Version 2.0.0.0 — newly created and published version
3. Version 3.0.0.0 — new version created when version 1 is restored

• 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.

• Formatting: May remove file-system references but often leaves recoverable data.
• Degaussing: Uses a magnetic field to erase data, but can damage or make magnetic drives unusable.
• Defragmentation: Rearranges data for performance; it does not securely erase information.

• Partners first log in to the corporate portal, which uses the shared SAML Identity Provider.
• When they select a Salesforce link, the IdP can send a SAML assertion directly to Salesforce.
• Salesforce validates the assertion and grants access to the Partner Community without requiring another login. This is IdP-initiated SSO because authentication begins outside Salesforce.

• SP-initiated SSO starts when Salesforce sends an authentication request to the IdP. That would be appropriate if users began by visiting Salesforce.
• The Web Server and User Agent OAuth flows are for OAuth authorization, not browser-based SAML federation between an IdP and Salesforce.

• Accept: Acknowledging the risk and choosing not to take additional action.
• Transfer: Shifting the risk or financial consequences to another party, such as an insurer.
• Mitigate: Reducing the likelihood or impact through controls, such as patching or access restrictions.
• Avoid: Eliminating the activity that creates the risk.

• B: Não é preciso implantar o modelo em um endpoint do Amazon SageMaker, pois o Bedrock já oferece a infraestrutura de inferência.
• C: O SageMaker Model Registry é usado para gerenciar modelos no SageMaker, não é requisito para modelos customizados no Bedrock.
• D: Não existe uma etapa geral de “conceder acesso” ao modelo customizado como requisito principal de uso. O ponto essencial é adquirir o Provisioned Throughput.

• Scanning is not essential during a power outage.
• A scanner can consume UPS battery power without helping the user save cloud documents or shut down safely.
• The UPS should be reserved for the computer, monitor, and necessary network equipment.
• The surge protector helps protect the scanner from voltage spikes, but it will not keep it running during an outage.

• Share files with the wrong people
• Use public links unnecessarily
• Fail to classify sensitive data
• Upload data to unauthorized services
• Misunderstand company sharing policies

• A — Step-up authentication: Helps protect administrator accounts, but does not directly address improper file sharing by users.
• C — Password complexity: Helps reduce password attacks, not accidental data disclosure.
• D — Mobile device management: Secures managed mobile devices, but does not directly control file-sharing behavior across the organization.

• Marketing users: Dynamic Forms can show all fields.
• Support users: Field visibility rules can display only the Support preference fields on the record page.
• Reporting: Both profiles can still report on all fields because Dynamic Forms controls page visibility, not the underlying field access.

• A — Two record types and page layouts: Page layouts can control field placement and editability, but they are less flexible for conditional field visibility and would not be the best fit here.
• C — Muting permission set: Permission-set muting is used with permission-set groups; it does not conditionally hide fields on a page.
• D — Field-Level Security: FLS would remove field visibility at the security level. If fields are hidden by FLS, users generally cannot report on or access those fields, conflicting with the requirement that both users report on all data.

• Denial-of-service: Prevents users from accessing a service; it does not normally redirect them.
• Social engineering: Manipulates people into taking an action, such as clicking a malicious link, but does not directly alter DNS resolution.
• ARP spoofing: Associates the attacker’s MAC address with another device’s IP address on a local network. It can intercept traffic, but the described website redirection is most specifically DNS poisoning.

• Warehouse size: Larger warehouses use more credits per unit of time than smaller ones.
• Number of clusters: A multi-cluster warehouse can run multiple clusters, and each active cluster consumes credits. Therefore, increasing the maximum or active cluster count can increase consumption.

• Number of users: More users may cause more workload, but users themselves do not consume credits.
• Amount of data processed: Snowflake warehouses are not charged directly by the amount of data scanned. However, processing more data may cause the warehouse to run longer, indirectly increasing credits.

• File policy in Microsoft Defender for Cloud Apps: Can detect activity involving files, but it is not designed specifically to investigate risk from departing or deleted users.
• Access review policy in Microsoft Entra: Reviews whether users should retain access to resources; it does not detect historical document downloads.
• Alert policy in Microsoft Defender for Office 365: Primarily handles alerts for email and collaboration threats, not insider-risk investigations involving departed users.

• Create procurement-manager-role only in the shared services accounts, where procurement managers operate.
• Attach AWSPrivateMarketplaceAdminFullAccess to that role.
• Procurement managers assume the role when they need to administer Private Marketplace.
• Apply a root-level SCP that explicitly denies Private Marketplace administration to everyone except that role. The SCP acts as a maximum-permission boundary across member accounts.
• Add another SCP denying creation of a role with the same name. Otherwise, another administrator might create a similarly named role and bypass the intended exception.

• Creating the role in every account increases administration and creates more opportunities for misuse.
• A permissions boundary on developer roles does not prevent other administrators from managing Private Marketplace.
• Applying the SCP only to shared services accounts would not protect the rest of the organization.

• B — Sales staff will tender for riskier contracts:

• C — Sales staff will encroach on other territories:

• D — Sales staff will look for new jobs:

• PC A: 192.168.1.10/24
• PC B: 192.168.2.10/24

• Both PCs have a correct default gateway
• A router or Layer 3 switch connects the subnets
• Routing and firewall rules allow the traffic

• Installing software
• Applying configuration changes
• Calling PowerShell scripts
• Running setup or customization commands

cmd 
powershell.exe -ExecutionPolicy Bypass -File C:\Scripts\ConfigureVM.ps1

• GPO logon script: Runs only when a user logs on and depends on domain/GPO processing.
• GPO startup script: Runs during startup, but requires the VM to be domain joined and receives the applicable GPO.
• Place scripts in a VHD: Merely makes the scripts available; it does not automatically execute them.

• 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.

• Distinct values = 69

• Unique values = 4

• A — Technical review by business owner: A business owner may approve the business impact, but a technical review is normally performed by technical personnel.
• C — Cost-benefit analysis after implementation: Cost-benefit analysis should occur before implementation to support the approval decision.
• D — Business continuity testing: This can be appropriate for major changes, but it is primarily part of business continuity and disaster recovery planning—not a universal change-management activity.

• Input validation: Prevents malicious or malformed input within an application; it does not authenticate a software package.
• Secure cookies: Protect web-session cookies; they do not protect downloadable software.
• Fuzzing: Tests software by supplying unexpected input to find vulnerabilities; it does not verify software integrity.

• 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.

• 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.

• Product recall: Premature before confirming a violation or assessing risk.
• Notify the regulatory authority: May be required later, especially if the discrepancy affects safety or compliance, but first investigate and verify the facts.
• Inform production: Not the initial regulatory assessment step; production may become involved if a packaging or manufacturing error is identified.

• Matching hashes: The software is likely unchanged.
• Different hashes: The software or its contents have been modified.

• Encryption: Protects confidentiality, not primarily integrity.
• Baselines: Document expected configurations and support comparison, but hashing is more directly suited to verifying file integrity.
• Tokenization: Replaces sensitive data with tokens and is unrelated to software tampering.

• The JSON files contain one billion items, so this is a big-data workload.
• PySpark uses Apache Spark’s distributed, parallel processing, allowing the data to be processed across multiple compute nodes.
• It can read and transform data directly from OneLake, helping minimize unnecessary data movement or duplication.
• A Fabric notebook can also support exploration and visualization, as well as Spark-based analytics and anomaly-detection workflows.

• Pandas is primarily in-memory and generally suited to smaller datasets. One billion records would be impractical on a typical single machine.
• A Power BI report with core visuals is appropriate for visualization and sharing, but it is not the best tool for large-scale transformation, parallel processing, or anomaly detection. It would normally consume prepared data rather than perform the entire workload.

• 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.

• 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.

• Accept: Acknowledging the risk without taking additional action.
• Transfer: Moving the risk’s financial impact to a third party, such as an insurer.
• Mitigate: Reducing the likelihood or impact through controls, such as patching or employee training.
• Avoid: Eliminating the activity that creates the risk.

• 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.