Salesforce ADX-201C Exam Prep
Administrative Essentials for New Admins in Lightning Experience + Certification (Page 56 )

• Attack simulator — Used to run phishing and other attack simulations for user awareness training.
• Hunting — Used to proactively query security data and investigate potential threats.
• Incidents — Used to investigate and manage related alerts and active security events.

• The application stores data on Amazon EBS volumes, so the encryption should be applied directly to those volumes.
• EBS encryption uses AWS-managed cryptographic operations and is designed to provide encryption at rest with minimal performance impact.
• The volumes are created during initial deployment, so they can be configured as encrypted when provisioned.

• B: Moving data to an encrypted S3 bucket changes the storage design and does not encrypt the EBS data the application uses.
• C: A custom encryption algorithm adds application overhead and is unnecessary.
• D: Ephemeral disks are temporary storage and can lose data when instances stop or terminate. Encrypting only the AMI’s root volume does not protect data stored elsewhere.

• Complete MFA, or
• Securely change their password

• Identity Protection: evaluates user and sign-in risk and can trigger remediation.
• Privileged Identity Management (PIM): manages temporary, just-in-time access to privileged roles; it does not automatically require password changes for risky sign-ins.

• 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.

• C: Develop the rule in the Rules Editor, define the events, match, and condition sections, then use the test rule feature. This directly validates the YARA-L rule without enabling it in production.
• A: UDM Search can help investigate data and refine filters, but it does not fully test YARA-L logic—especially complex event joins, match windows, and conditions.

• Deploy five individual VMs: This does not create a VM scale set.
• Modify Availability Zones or Size settings: These actions do not create the required scale set and add unnecessary steps.
• VM orchestration mode: This is Flexible orchestration, intended for more individually managed VMs and mixed configurations. It is not the best choice for a straightforward group of identical instances.

• 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 — 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.

1. x = -100
2. -100 < x < 100
3. 100 = x < 1000
4. x = 1000

• -500 ? class 1
• 0 ? class 2
• 100 ? class 3
• 1000 ? class 4

• terraform apply
• terraform destroy

• 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.

• 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.

• Preparing and managing datasets
• Building and training machine-learning models
• Testing and evaluating models
• Deploying models as endpoints for predictions

• VPC: A logically isolated virtual network within a cloud provider; it describes network design, not the user-access model.
• NFV: Runs network services as software instead of on dedicated hardware.
• SaaS: Delivers software over the internet. Although the application may be delivered as SaaS, the question emphasizes its availability to multiple user groups, which points to multitenancy.

• The load balancer provides the listener’s frontend IP address.
• The active SQL Server node must also respond to that same listener IP.
• Enabling Floating IP allows the listener IP to be preserved and handled correctly by the active replica.
• Without it, SQL connections may be sent to a node that cannot correctly claim the listener address.

• A health probe for the SQL Server port
• A load-balancing rule using the listener port
• Floating IP enabled on that rule

• Deficiency found before patient use: usually does not require an adverse-event report because no patient exposure occurred.
• Event caused solely by the patient’s condition: may not be reportable if the device did not contribute.
• Malfunction protection operated correctly: generally exempt when the device’s safety mechanism worked as intended and prevented harm.

• Penetration test: Tests for exploitable vulnerabilities; it does not provide a broad opinion on whether security controls operate effectively.
• Annual self-assessment: Not independent, so it provides less assurance.
• Allow each client the right to audit: Inefficient because every customer may conduct a separate audit, creating duplicated effort and disruption.

1. Discovery tries the SSH probe first.
2. SSH fails.
3. Discovery tries SNMP, which succeeds.
4. Discovery records SNMP as the preferred service for that IP.
5. Future discoveries try SNMP first.

• Classification identifies the type of device, such as a server, router, or printer.
• Credential affinity remembers which credentials work for a device.
• MID Server affinity associates a device or network with a particular MID Server.
• IP service affinity specifically controls the preferred discovery protocol or service.

1. Which host originated the infection
2. Whether each other host is clean or infected
3. Which firewall or host logs provide evidence of the infection’s movement

• Find the earliest infection-related event. The host associated with that event is the likely origin.
• Follow the timeline: outbound connections from that host may indicate propagation or command-and-control activity.
• A host receiving suspicious traffic is not automatically infected; look for evidence that it executed or initiated malicious activity.
• A firewall log can show traffic paths, but endpoint logs are usually needed to confirm infection.
• Mark a host clean only when the logs show no indicators of compromise or malicious activity.

• Proxy server: Acts as an intermediary for requests, but does not necessarily provide an encrypted connection to the corporate network.
• NGFW: A firewall with advanced inspection and filtering capabilities; it may support VPNs but is not the remote-access solution itself.
• Security zone: A logical network grouping based on trust or security requirements, not a method for remote access.

1. Append Table1 and Table2 as a new query

1. Select the product column in the appended query.

1. Choose Remove Rows > Remove Duplicates

• 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

• Honeypots: Deliberately vulnerable or attractive systems designed to lure attackers. Legitimate users should not access them, so activity on a honeypot is a strong indicator of compromise.
• DNS sinkholes: Redirect requests for known malicious domains to a controlled internal system instead of allowing the connection. This can identify infected hosts attempting to contact command-and-control infrastructure.

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

• 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.

• Undefined or blank values
• Relationship matching problems
• Duplicate or conflicting keys
• Errors when querying the model

• Normalize all values to upper- or lowercase in the source query or Power Query.
• Add an index or surrogate key when values that differ only by case must remain distinct.

• Create the field in the CRM on the relevant person records—typically Lead and Contact in Salesforce.
• Give the Marketo Sync User read/write access to the field.

• File hashes
• Strings and metadata
• Binary or code structure
• Known malicious patterns
• Embedded indicators or signatures

• Sandbox: Executes the file in an isolated environment; useful for observing behavior, but usually slower.
• Network traffic analysis: Examines communications generated by a system or application, not the file itself.
• Package monitoring: Tracks software packages or installations and is not the primary method for examining malware signatures.

• Data source: Folder
• Transformation: Remove the Content column (or keep only the file-metadata columns)

Why

• File name
• Extension
• Date modified
• Folder path
• Content — the binary contents of the file

• 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.

• 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.

• Vulnerability scanner: Finds known technical weaknesses in systems or applications, but does not provide complete supply-chain visibility.
• Penetration test: Simulates attacks against defined targets; it is narrower than a full supply-chain analysis.
• SCAP: A set of standards and protocols for automated security configuration and vulnerability assessment, not a comprehensive supply-chain mapping tool.

apex 
for (Account updatedAccount : Trigger.new) { 
    AccountTriggerHelper.notinyxternalSystem(updatedAccount.Id); 
}

• Too many callouts: The callout occurs asynchronously in the future method, and each future transaction can perform its permitted callouts.
• Too many SOQL queries: The SOQL query is inside the future execution, not repeatedly in the trigger transaction.
• Callout from triggers not supported: Direct callouts from triggers are prohibited, but the trigger delegates the callout to asynchronous Apex, which is the correct pattern.

• Feedback form: Captures opinions, not necessarily actual behavior; users may not respond.
• Questionnaire: Relies on memory and subjective judgments about usefulness.
• Interviews: Can provide valuable qualitative insights, but a sample of users may not represent overall usage accurately.

• Determine risk tolerance: Tolerance defines how much variation or exposure the organization is willing to accept. Scenarios may help apply tolerance, but they do not primarily determine it.
• Determine risk appetite: Risk appetite is established at an enterprise or governance level. Scenarios help compare risks with the appetite; they do not normally establish it.
• Develop risk responses: Once risks are identified and assessed, scenarios support response planning. However, response development comes later.

• IaaS: você gerencia a VM e o sistema operacional.
• PaaS: o Azure gerencia a infraestrutura; você se concentra no aplicativo.

• Complex inputs: Queueable jobs can accept objects such as Map<Id, Project__c> and List<Account> through the class constructor.
• Long-running callouts: Implement Database.AllowsCallouts in the Queueable class.
• Confirmation/status: System.enqueueJob() returns an AsyncApexJob ID, which can be used to query job status and determine whether execution completed successfully.

apex 
public class ProjectQueueable 
    implements Queueable, Database.AllowsCallouts { 


    private Map<Id, Project__c> projects; 
    private List<Account> accounts; 


    public ProjectQueueable( 
        Map<Id, Project__c> projects, 
        List<Account> accounts 
    ) { 
        this.projects = projects; 
        this.accounts = accounts; 
    } 


    public void execute(QueueableContext context) { 
        // Perform the callout 
    } 
}

• @future(callout=true) supports callouts, but future methods accept only primitive values or collections of primitives—not complex sObjects or maps of sObjects.
• Database.AllowsCallouts
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