Salesforce PDX-101 Exam Prep
Essentials of Pardot Lightning App for Digital Marketers (Page 25 )

• Document feeder: A scratch, dirt, or debris on the feeder glass or rollers can create a line on every scanned image.
• Pickup rollers: Move paper through the printer; they would not normally create a scanner-only line.
• Corona wire: Affects toner charging and would cause defects on printed output.
• Drum assembly: Also affects printed pages, so faxes and computer print jobs would show the line too.

• User1 (user1@contoso.com) — This is an external guest in the Fabrikam tenant. Assuming the guest uses email one-time passcode authentication, Azure AD emails a passcode to user1@contoso.com.
• User2 (user2@outlook.com) — An Outlook.com address can authenticate with a Microsoft account, so Azure AD uses that account’s authentication rather than sending an email OTP. The fact that User2 has never accessed Fabrikam resources does not by itself trigger OTP.
• User3 (user3@fabrikam.com) — This is an internal Fabrikam user, so the user signs in with the organization’s normal credentials and does not receive a guest OTP.

• Least privilege: Limits users to only the access necessary for their job.
• Background checks: Help identify potentially risky individuals before employment.
• Separation of duties: Ensures that one person cannot complete a sensitive process alone, reducing fraud and abuse.

• Bronze: Raw ingested data
• Silver: Cleaned, validated, and transformed data
• Gold: Business-level data for analytics, dashboards, and reporting

• LastName: Required.
• FirstName: Optional.
• AccountId: Optional; a Contact may be associated with an Account later or remain private, depending on organization settings.
• Name: A compound display field made from first and last name; it isn’t entered as a separate field.

• The Speech resource subscription key
• The Azure region
• Optional endpoint and speech settings

python 
speech_config = speechsdk.SpeechConfig( 
    subscription=key, 
    region=region 
)

• SpeechSynthesizer converts text to speech.
• It uses a SpeechConfig, but it does not configure the service connection itself.

• AudioConfig: Defines audio input or output sources.
• AudioOutputConfig: Defines where synthesized audio should be sent.
• SpeechConfig: Configures the Azure Speech service connection.

• Verifies the sender’s identity using their private key.
• Confirms the transaction was not altered after signing.
• Provides evidence that the signer approved or originated the transaction.

• Digital certificates: Bind an identity to a public key, but do not themselves prove that a specific transaction was signed.
• Encrypted passwords: Protect confidentiality or authentication, but generally do not provide transaction-level nonrepudiation.
• One-time passwords: Authenticate a user for a session or transaction, but usually do not provide durable proof of who authorized the electronic record.

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

• Process Builder: Automates actions based on record changes but does not create interactive forms.
• Approval Process: Routes records for approval; it is not designed to collect information through a wizard.
• Outbound Message: Sends information to an external system; it does not provide a user interface.

• 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.

• 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

• 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.

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

• Sales process: Controls which Opportunity Stage values are available.
• Record type: Associates the appropriate sales process with a business scenario and controls available picklist values.
• Page layout: Controls which fields are displayed and whether they are required or read-only.

• Energy Market Team 1 ? Record Type 1, Sales Process 1, Page Layout 1
• Energy Market Team 2 ? Record Type 2, Sales Process 2, Page Layout 2
• Services/Installation Team ? Record Type 3, Sales Process 3, Page Layout 3

• 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

• Insert is used when you are creating a new record. It saves the record to the table and then leaves the form.
• Update is used when editing an existing record. It saves the modifications and then leaves the form.

• The underside clips or hinges are broken.
• The cap is stuck, loose, or misaligned.
• The cap no longer presses the switch correctly.
• The cap itself is missing or physically damaged.

• 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.

• 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.

• 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.

• 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.

Why A is the best fit

Why the other options are weaker

• B — Create alerts in Dynamics 365 Finance: Alerts notify users about changes; they do not calculate tax.
• C — Implement the Common Data Model: CDM standardizes data structures but does not provide tax-calculation logic.
• D — Run a Power BI report: Power BI is primarily for analysis and reporting. A report might display tax rates, but it would not normally calculate and apply tax to sales orders operationally.
• E — Write scripts and code: This could work, but it is less aligned with the requirement for a quick, cost-effective implementation because custom development requires more time and maintenance.

• Confirming the data has the required columns and data types
• Handling missing or duplicate records
• Converting data into a suitable format
• Selecting or engineering useful features
• Splitting it into training, validation, and test sets

1. Prepare the training data
2. Select an algorithm or configure AutoML
3. Train the model
4. Evaluate its performance
5. Tune hyperparameters if needed
6. Deploy the model

• Treatment one – easier to prepare: Convenience for the accounting team is not the main objective of financial reporting.
• Treatment two – fair representation: This is the correct choice because financial statements must faithfully represent the underlying transaction and its economic substance.
• Treatment three – maximises profit: Accounting policies must not be selected simply to manipulate or inflate reported profit.
• Treatment four – easier to understand: Understandability is important, but it cannot justify presenting information that is less faithfully represented.

• STIX: A standardized format for exchanging cyber-threat intelligence.
• OVAL: A language and framework for describing and assessing system vulnerabilities and configuration issues.
• Threat intelligence feed: Provides current indicators or threat information, but is not specifically a reference for common application exploitation techniques.
• CVE: A catalog of publicly disclosed vulnerabilities, identified by unique CVE numbers.

• 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.

• 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.

• Microsoft manages the physical datacenter, hardware, and virtualization.
• You manage the virtual machine’s operating system, installed software, configuration, and data.
• You choose the VM size, storage, networking, and scaling options.

• SaaS: You consume a complete application managed by the provider, such as Microsoft 365.
• PaaS: You deploy applications without managing the underlying operating system or VM infrastructure, such as Azure App Service.

• Frequency/likelihood = how often or how likely the risk is to occur.
• Severity/impact = how damaging or costly the consequences would be.

• A minor equipment fault occurring frequently may have high frequency but low severity.
• A major cyberattack occurring rarely may have low frequency but high severity.
• A risk that happens often and causes substantial losses has high frequency and high severity.

• Firewalls and routers
• Servers and applications
• Endpoint devices
• Authentication systems
• Cloud services

• Centralized log collection
• Event correlation
• Dashboards and reporting
• Alerting
• Compliance support

• Containment policy: controls permitted communication during containment.
• Detection/response configuration: determines when containment is initiated.

• 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.

• Data owners: Decide who should have access and approve the access rules.
• Business process owners: May help define business requirements, but normally do not enforce technical permissions.
• Security steering committee: Provides governance and direction; it does not manage individual access rights.
• Security administrators: Apply and enforce the approved access controls.

• The job keeps 31 days of regular restore points. A backup from the week of January 1 is older than 31 days by March 20, so it is no longer expected to remain on the performance tier.
• It is also a weekly GFS full backup, retained for 14 weeks. Therefore, it is still protected and has not been deleted.
• In a Scale-out Backup Repository, older backups can be moved from the performance tier to the capacity tier—typically object storage—according to the configured offload policy.
• The archive tier is not selected because the question’s configuration does not indicate that the backup has been archived there.

• New investment: $536,500
• Resulting NPV: $0

• WPA3: Secures wireless traffic but does not normally verify whether someone has paid.
• PSK: A shared Wi-Fi password gives access to anyone who knows it; it cannot easily validate individual receipts.
• IEEE 802.1X: Provides user/device authentication, commonly through an authentication server, but is excessive and not designed specifically for a simple receipt-based guest-access workflow.

• 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

• 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.

• Self-signed certificate — Causes a certificate trust warning, not incorrect name resolution.
• Nameserver record — A DNS record problem would usually affect multiple users, unless only this computer uses a different DNS server.
• IP helper — Relays certain network services, commonly DHCP, between subnets; it does not normally determine website name resolution.

• Record changes — a flow can start when a record is updated or otherwise changes.
• Schedules — a flow can run at a specified date/time or on a schedule.
• Record inserts — a flow can start when a new record is created.

• Subflows are reusable flow components called by another flow; they are not normally trigger types.
• Record views do not generally initiate a Flow Designer flow.

• A is valid:

apex 
  for (Account theAccount : AccountList) { 
      // process theAccount 
  }

• D is conceptually valid, using an index:

apex 
  for (Integer i = 0; i < AccountList.size(); i++) { 
      Account theAccount = AccountList[i]; 
  }

• B is invalid because for(AccountList) is not valid loop syntax.
• C is invalid because each item is an Account, not a List.

• Virus signatures: Primarily associated with antivirus or antimalware tools.
• Security agent deployment: Usually handled by endpoint-management or endpoint-security platforms.
• Vulnerability scanning: Performed by vulnerability-assessment tools, although a SIEM may ingest their results.

• Domain controllers, because the requirement specifically excludes them. However, note that both member servers and domain controllers run Windows Server, so OS targeting alone cannot distinguish them unless the targeting option allows selecting the relevant server role/version. In the usual exam interpretation, target the applicable server OS category.
• Client computers, because they run a client Windows operating system.

• Domain: Targets membership in a domain, not the computer’s operating-system type.
• Security Group: Would require creating and maintaining a group containing all member servers, increasing administrative effort.
• Environment Variable: Not designed to reliably identify member servers.

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

• Amazon S3 as the origin for static content
• Application Load Balancer (ALB) as the origin for dynamic content
• Amazon Route 53 configured to point the company’s domain name to CloudFront

• /static/* ? S3 origin; cache content at edge locations
• Dynamic paths such as /api/* ? ALB origin; forward requests to the EC2 application

• Products ? OrderHistory: Products is 1, OrderHistory is many (1:*)

• Date ? OrderHistory: Date is 1, OrderHistory is many (1:*)

• 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.

• Company documents
• Databases
• Knowledge bases
• Current web or business data

• A: Describes diversity and inclusive design, not grounding.
• B: Describes explainability or model interpretability.
• D: Describes documenting a model’s capabilities and limitations.