Vmedu Scrum Master Certified Exam Prep
Scrum Master Certified (Page 6 )

• As Beth’s team matures, they gain experience, improve quality practices, and refine what “done” means. The Definition of Done (DoD) becomes clearer and more stringent, helping increments be consistently shippable.
• This aligns with Scrum’s inspect-and-adapt mindset: with each sprint, the team identifies gaps in the DoD and expands it to cover things like testing, integration, and documentation.

• B: Scrum doesn’t require creating a single feasible plan for all backlog items upfront; planning is iterative via Sprint Planning and backlog refinement.
• C: Becoming “projectized” is not a Scrum outcome; Scrum teams remain cross-functional and self-managing, not formal projectized units.
• D: Forming, Storming, Norming, and Performing describe a generic team-development model (Tuckman). It’s not a Scrum-specific maturity expectation and isn’t something Beth can rely on as a standard outcome.

• The scenario highlights failures to incorporate changing customer requirements. In Scrum, work is delivered in short iterations (Sprints), with frequent inspection and adaptation.
• Each sprint delivers an increment and the backlog is updated based on feedback, so changes can be incorporated in subsequent iterations. This keeps the product aligned with the evolving business environment.
• Other options:

• Correct answer: B

• Why: In Scrum, core roles are Scrum Master, Product Owner, and the Development Team. Non-core roles (e.g., stakeholders, domain experts, sponsors) are outside the Scrum Team and provide support, inputs, and constraints but are not continuously involved in Scrum events. They influence the project’s success indirectly through their support and feedback, not as mandatory, ongoing participants in the Scrum process. The other statements mischaracterize non-core roles: they’re not mandatory for success, they do have interest and stake, and they aren’t formally structured to continuously participate in Scrum.

• 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.

• A Screen Flow can present a form that inspectors complete and submit on an Experience Cloud page.
• It can collect inspection findings, validate the input, and create or update records.
• An Autolaunched Flow has no user interface, so it cannot directly provide the form.
• A Related List only displays related records, and Record Detail is primarily for viewing or editing an existing record—not for a custom inspection submission form.

• Label applied does not automatically exclude a file from Copilot.
• Encryption/usage rights determine whether Copilot can access the file’s content.
• If the user has no permission under Label2, File3 should be unavailable to Copilot for that user.
• File3’s label might be inherited by derived content only if File3 was actually processed and contributed by an authorized user; it should not be treated as contributing merely because it exists in the source set.

• 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.

Recommended process

1. Access each switch’s terminal.
2. Use help to identify available commands.
3. Use the MAC table command, such as:

text 
   show mac-address-table

1. Use VLAN information, such as:

text 
   show vlan

1. Use interface information, such as:

text 
   show ip interface brief

1. Record each device’s:

• 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.

• Labels control access and protection, not blanket exclusion.
• If the user has permission to open a labeled file—especially if the label allows authenticated users to view it—Copilot can use that file in a summary.
• If the label applies encryption and the user lacks the required usage rights, Copilot should not use the file or reveal its contents.
• Copilot honors the user’s existing permissions, so it should not expose labeled content to an unauthorized user.

• Due diligence: Researching and evaluating a third party before entering or continuing a business relationship.
• Internal audit: Evaluates controls within the organization itself.
• Penetration testing: Actively tests systems for exploitable vulnerabilities.
• Attestation: A formal statement or report—such as a SOC 2 report—provided by an independent party about an organization’s controls.

• B — Both inner and outer classes can be declared as with sharing.

• C — Inner classes do not inherit sharing settings from the container class.

apex 
public with sharing class OuterClass { 
    public with sharing class InnerClass { 
        // Explicitly uses sharing rules 
    } 
}

• VPC: A logically isolated virtual network within a public cloud.
• NFV: Replaces dedicated network appliances with virtualized network functions.
• SaaS: Software delivered over the internet as a service. This application could be delivered as SaaS, but the key detail in the question is that it serves multiple user groups or tenants.

• Economy: Obtaining inputs at the lowest appropriate cost.
• Efficiency: Making the best use of resources, such as staff, money, and equipment.
• Effectiveness: Achieving the intended objectives or outcomes.

• 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.

• Deterrent control: The signs warning that people may be filmed can discourage unauthorized or malicious activity. They do not directly stop the action; they influence behavior.
• Detective control: CCTV records or monitors activity so security personnel can identify events or investigate them afterward.

• Preventive: Stops an incident from occurring, such as access control.
• Corrective: Restores systems after an incident.
• Directive: Instructs people to behave in a certain way, such as a security policy.
• Compensating: An alternative control used when the preferred control is not feasible.

• Due diligence: Investigating and evaluating a third party before entering into or continuing a business relationship.
• Attestation: An independent party provides assurance about an organization’s claims or controls. A SOC 2 examination is an example of an attestation engagement, but the analyst requesting and reviewing the report is performing due diligence.
• Internal audit: Reviews the organization’s own internal controls.
• Penetration testing: Actively tests systems for exploitable vulnerabilities.

• 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.

• MFA: Protects sign-in and authentication.
• Azure Key Vault: Protects deployment secrets and credentials.
• Answer: No (B).

• 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.

• New Cat 5 line: Useful if testing shows a damaged cable, but the issue is specifically triggered when the fax is active.
• 802.1Q tagging: Used to carry multiple VLANs across trunk links; it does not solve the issue by itself.
• Change the MTU: Relevant to packet-size or fragmentation problems, not typical fax-related interference.

• Response and resolution times
• Availability or uptime requirements
• Performance targets
• Support responsibilities
• Penalties or remedies if requirements aren’t met

• SOW (Statement of Work): Describes the work, deliverables, scope, and schedule for a project.
• MOA (Memorandum of Agreement): Documents agreed-upon responsibilities or cooperation between parties.
• MOU (Memorandum of Understanding): Records a general mutual understanding, often without detailed enforceable service targets.

• 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.

• Run the backup with WITH CHECKSUM
• Store the backup on an SMB network share

sql 
BACKUP DATABASE DB1 
TO DISK = '\\FileServer\SqlBackups\DB1_full.bak' 
WITH CHECKSUM;

• DMS does not create the SQL Server backups for you.
• You must provide a valid full database backup.
• You must continue taking transaction log backups while the source database remains online.
• The full backup and subsequent log backups must be available in the SMB share that DMS can access.
• WITH CHECKSUM enables backup checksum validation, helping detect backup corruption.

• Identifies which user or department owns the device
• Supports inventory and compliance requirements
• Enables tracking of lost, stolen, retired, or unauthorized devices
• Helps enforce security controls such as mobile-device management and secure configuration

• One physical NIC is active and carries traffic.
• Another NIC remains on standby.
• If the active uplink fails, traffic switches to the backup uplink.
• This provides redundancy without requiring special switch-side link aggregation configuration.

• Balance-SLB: Distributes traffic based on source load balancing; not the default.
• Balance-TCP: Uses dynamic TCP traffic balancing and generally requires appropriate network-switch configuration.
• No Uplink Bond: Incorrect because vs0 is normally configured with redundant uplinks.

• If the attachment is safe, it is released to the user.
• If malware is detected, the attachment is blocked or removed according to the policy.
• This reduces delivery delays without disabling malware scanning.

• Replace removes the original attachment and replaces it with a text file explaining that it was blocked. It does not primarily optimize delivery time.
• Block and Enable redirect blocks messages with suspicious attachments and can redirect them for review; it does not provide the required faster delivery experience.
• Monitor and Enable redirect is for observation and does not reliably block malicious attachments.

• 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.

• B — AWS DataSync: Transfers data between storage systems. It is not a marketplace or integration service for third-party datasets.
• C — Kinesis Data Streams and CodeCommit: CodeCommit stores source code, not third-party analytical datasets. Kinesis is for streaming data, not retrieving datasets from repositories.
• D — Kinesis Data Streams and ECR: Amazon ECR stores container images, not third-party datasets.

• Customers may boycott V’s products.
• Supermarket customers may stop buying from V.
• Investors may view V as having higher legal, ethical and reputational risk.
• V could face fines, lawsuits, contract losses and higher costs.
• Expected future profits may fall.

• A. IDS attack signatures: An IDS primarily detects suspicious network activity; it is not the best tool for scanning uploaded files.
• C. Load balancer: Improves availability and distributes traffic but does not inspect files for malware.
• D. WAF: Protects web applications against attacks such as SQL injection and command injection. It may inspect HTTP requests, but malware scanning of uploaded PDFs is the key requirement here.

• contoso.onmicrosoft.com
• contoso1.onmicrosoft.com

• onmicrosoft.com domains: Maximum of five per tenant.
• Custom domains: Domains that your organization owns and verifies in Microsoft 365.

• Job Links ? URL ID: Mainly summarizes link performance; it is not the easiest place to retrieve individual email addresses by alias.
• Tracking Overview ? Clicks: Provides aggregate click metrics, not a targeted list for one aliased link.
• Click Activity ? Link View: Focuses on link-level reporting, but the question’s intended workflow for locating clicks tied to a specific placement/alias is Email Overlay.

• Microsoft Purview portal: Create and manage sensitivity labels and configure support for sensitivity labels used with Office files in SharePoint and OneDrive.
• SharePoint admin center: Primarily manages SharePoint settings. Older guidance and PowerShell procedures used SharePoint tenant configuration, which can make this question confusing.
• IRM: Concerns Information Rights Management and is a separate protection mechanism; it should not be used to identify the portal for configuring Microsoft Purview sensitivity labels.

• 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.

• B. Conditional access policies

• D. Additional authentication factors

• Disciplinary actions: Punish users but do not prevent credential-based attacks.
• More regular account audits: Useful for finding inactive or excessive accounts, but less direct for stopping unauthorized logins.
• Content filtering: Primarily controls web or email content, not authentication.
• Review of permissions: Reduces privilege but may not stop unauthorized account access.

1. Yes — Microsoft Foundry provides a secure, governed environment for building and managing generative AI applications and agents. It brings together models, data, tools, evaluation, deployment, and monitoring.

1. Yes — Foundry is designed for enterprise workloads and supports scaling AI applications as usage grows. Scalability comes from the underlying Azure services and managed infrastructure.

1. Yes — Foundry can be used in solutions involving image recognition and computer vision. Applications can use vision-capable models and Azure AI vision capabilities for tasks such as image analysis, object detection, and OCR.

• Customize Opportunity Contact Role
• Add the Opportunity Contact Role related list to the Opportunity page layout

• B — The most significant risks are held by SQ.

• C — SQ should recognise the cars as inventory.

• F — SQ recognises revenue when LM sells a car to a third party.

• A: LM does not hold the most significant risks.
• D: LM does not recognise the cars as inventory.
• E: SQ should not recognise revenue when cars are merely delivered to LM.

• 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.

• A. Adjust resolution: Incorrect because an incompatible resolution usually causes no display, distortion, or an unsupported-mode message—not intermittent flickering.
• B. Swap the HDMI cable: Correct. Replacing the common, easily tested component is the appropriate troubleshooting step.
• C. Replace the projector: Incorrect because the issue also occurs with a monitor.
• D. Configure refresh rate: A mismatched refresh rate can cause visual problems, but the repeated flicker across displays points more strongly to the cable.

• 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.

1. CALCULATE
2. AND
3. FILTER

DAX 
Transaction Category = 
CALCULATE( 
    MAX('Transaction Size'[Size]), 
    FILTER( 
        'Transaction Size', 
        AND( 
            Sales[Sales Amount] >= 'Transaction Size'[Minimum], 
            Sales[Sales Amount] <= 'Transaction Size'[Maximum] 
        ) 
    ) 
)

• FILTER examines the rows in the Transaction Size table.
• AND ensures the sales amount falls between the category’s minimum and maximum values.
• CALCULATE evaluates the result in the modified filter context and returns the matching category.