Free Salesforce ADM-201 Practice Exam with Questions & Answers | Set: 2

The Data Import Wizard is the most efficient and user-friendly tool for importing a relatively small number of records (up to 50,000) when those records involve standard objects like Accounts and Contacts simultaneously. A key advantage of this tool is its built-in capability to handle "Account and Contact" imports in a single pass, which includes automatic matching to prevent duplicates based on name or email. For a volume of 300 records, the browser-based wizard is much faster to set up than the Data Loader, as it does not require a separate installation or complex CSV mapping for simple standard objects. While the Data Loader (Option D) and Dataloader.io (Option C) can handle this volume, they are typically preferred for much larger datasets (up to 5 million records) or more complex custom objects. The "Wizard" provides a guided experience that is ideal for sales reps or administrators performing routine data entry tasks.

The administrator's goal is togain a better understandingof current data quality and record completeness issues in Accounts and Opportunities. Creating reports (or dashboards) that highlight blank or missing key fields—using filters like "Field equals (blank)" or formula fields to flag incompleteness—directly assesses the existing data by showing which records lack required information.

Why B is correct: Salesforce Trailhead modules on data quality emphasize using reports and dashboards (e.g., Account, Contact & Opportunity Data Quality Dashboard) to identify missing fields and measure completeness before implementing fixes.

Why not the others:

A: Exploring AppExchange apps is useful for advanced or ongoing solutions but skips the initial assessment step.

C: Subscribing reps to reports helps with awareness but doesn't provide the admin with an overview of data quality.

D: Making fields required prevents future issues but doesn't reveal current missing data or outdated records.

This approach aligns with Salesforce best practices: assess data quality first through reporting, then enforce improvements.

The Setup Audit Trail is the primary tool for tracking administrative and configuration changes within a Salesforce organization. It records a history of modifications made by any administrator, including the date and time of the change, which user made it, and exactly what was altered (e.g., creating a new field, changing a profile permission, or modifying a workflow rule). The history is available for the last six months of activity. Health Check (Option A) is a security tool that compares your settings against Salesforce standards. History Tracking (Option C) and Feed Tracking (Option D) are used to track changes to records (like an Account's phone number), whereas the Setup Audit Trail is dedicated to tracking metadata and system configuration.

To ensure data integrity and guide sales reps through a structured process, a Platform Administrator should use a combination of tools. Opportunity Path (Option C) provides a visual representation of the stages and allows the admin to highlight "Key Fields" and "Guidance for Success" for each stage, making it clear what information is needed to progress. To enforce the entry of that data, Validation Rules (Option D) are used to prevent a user from moving to the next stage if specific fields are blank (e.g., AND(IsChanged(StageName), IsBlank(Discovery_Notes__c))). Additionally, marking fields as required on the Page Layout (Option A) ensures that the most fundamental data points are always captured. While Flow (Option B) can perform many tasks, it is not the primary way to mark fields as "required" in the UI. "Guided Selling" (Option E) is a specific term often associated with Salesforce CPQ rather than standard Opportunity management. Using Path, Validation Rules, and Page Layout requirements provides a robust framework for managing the sales lifecycle effectively.

When an administrator needs to perform a "cleanup" of existing data in bulk, a Schedule-triggered flow is the most efficient choice. This type of flow can be configured to run once (or on a recurring schedule) and process all Lead records that meet the "inconsistent" criteria (e.g., Lead Source equals 'Website' or 'Online')46. The flow can then automatically update those records to the standard "Web" value. A Record-triggered flow (Option B) only works on records as they are being created or updated, so it would not fix historical data unless every record was manually touched Screen flows (Option D) require manual user interaction for each record. 53Segment-triggered flows (Option A) are used in Data Cloud marketing conte54xts rather than standard core record cleanup.

A Delegated Approver is a user designated by an individual or an administrator to act on their behalf when an approval request is received. This is particularly useful for planned absences, such as vacations. While the delegated approver has the power to approve or reject a record, they cannot reassign the request to someone else. This is a temporary manual assignment and is different from a Manager (Option D), who is part of the permanent role hierarchy, or a Queue (Option B), which allows a group of people to share approval tasks. There is no feature called an "Approval Rule" (Option A) that handles temporary user reassignment in this manner.

A Validation Rule is the correct tool for enforcing conditional data entry requirements. When a business rule dictates that a field (Lead Source) must be populated only when another field (Stage) reaches a specific value (Closed Won), a validation rule can evaluate this logic every time a record is saved. The formula would check if the Stage is "Closed Won" and simultaneously check if the Lead Source field is blank. If both conditions are true, the system displays an error message and prevents the user from saving the record. This ensures 100% data compliance. Dependent picklists (Options A and D) are used to filter available options in one list based on the selection of another, but they cannot "require" a value to be present based on a stage change in the same way a validation rule can. Making the stage "Read Only" (Option B) would prevent users from ever winning a deal. Validation rules are the standard method for maintaining data quality during critical transitions in the sales lifecycle.

To manage a structured, multi-step sign-off requirement like the one described by the finance team, the Approval Process is the standard and most effective tool. An approval process allows an administrator to define a sequence of "Approval Steps." In this scenario, Step 1 would be configured to route the request to the Seller's Manager. Only after the manager approves does the record move to Step 2, which would be configured to route the request to the specific Finance Team member. This ensures the "manager first" logic is strictly enforced. Approval processes also provide a native "Approval History" related list, which serves as a vital audit trail for the finance team to verify that all necessary signatures were obtained before the deal was finalized. Using a screen flow (Option A) or quick actions (Option C) would lack the built-in locking mechanism and formal status tracking that the Approval engine provides. A Lightning Web Component (Option B) would require significant custom coding for a process that is easily handled by standard "click-not-code" configuration.

A Validation Rule is the only way to enforce conditional requirement logic based on both record data (the stage) and user data (the user's profile or role). To achieve this, the Platform Administrator would write a formula that checks three things: if the Stage is "Negotiation," if the Amount field is blank, and if the user is not a manager. The formula would look something like: AND(ISPICKVAL(StageName, "Negotiation"), ISBLANK(Amount), $Profile.Name <> "Sales Manager"). This allows the system to block standard sales users from saving the record without an amount, while the exception for the manager's profile allows them to bypass the requirement. Making the field required on the page layout (Option A) would affect all users equally, failing to meet the requirement for managers. Assigning the Admin profile to managers (Option B) is a major security risk and violates the principle of least privilege.1

When a specific user encounters an error that an administrator cannot replicate, the most effective troubleshooting technique is to "Login as" that user. This feature, which must be enabled in the organization's login policies, allows the administrator to see exactly what the user sees and experience the system through their specific profile, role, and sharing permissions22. This is vital for identifying issues related to Validation Rules, Field-Level Security, or Record-Triggered Flows that might only trigger under specific user contexts. Logging in as a system administrator (Option A) is ineffective because administrators often bypass certain restrictions that apply to standard users4. Asking for a password (Option D) is a major security violation and is never required in Salesforce5. By using the "Login as" feature, the admin can pinpoint whether the error is caused by the user's data input or a specific permission conflict assigned to their profile.