Salesforce-Platform-Administrator-II Practice Test Questions

Explanation:

The Setup Audit Trail is the primary tool for investigating changes to Salesforce setup and metadata, such as modifying a custom field's data type (e.g., from Text to Text Area). It logs detailed actions performed by users in Setup, including who made the change, when it occurred, and what was altered. This provides an auditable history of configuration changes without requiring additional setup.

Why not A (Developer Console)?
The Developer Console is used for writing, testing, and debugging Apex code and executing anonymous scripts—it's not designed for auditing metadata or setup changes.

Why not B (Field History Tracking)?
Field History Tracking monitors changes to record-level data (e.g., values in fields on Contact records) but does not track metadata changes like altering a field's type or properties.

Why not C (Debug Log)?
Debug Logs capture runtime details for code execution (e.g., Apex triggers or flows) to troubleshoot errors, but they don't log setup or metadata modifications.

Reference
Salesforce Help: View the Setup Audit Trail
Trailhead module: "Security and Access" in the Admin Beginner Trailmap for context on auditing tools.

Explanation:

The two tools an administrator should use to require data to be entered in a field and improve data quality are:

A. Validation Rules
Required Data: Validation Rules can enforce conditional requiredness. For example, a rule can be set to require the "Reason Lost" field to be populated only if the Opportunity Stage is set to "Closed Lost." This is a powerful, dynamic way to ensure necessary data is collected at the right time.
Data Quality: Validation Rules ensure that the format and content of the data are correct. They can verify that a field contains only numeric data, that an email address is in a correct format, or that a date falls within an acceptable range, which directly improves data quality.

D. Page Layouts
Required Data: Page Layouts (or the Field settings, which can be overridden by Page Layouts) allow an administrator to mark a field as required with a simple checkbox. This is the primary and easiest way to ensure a field is always populated when a user creates or edits a record on that layout.
Data Quality: Page Layouts improve data quality by controlling visibility and relevance. By making fields required, they ensure data completeness. By hiding unnecessary fields or grouping relevant ones, they guide the user's data entry process, minimizing confusion and errors.

Why Other Options Are Incorrect

B. Dashboards:
Dashboards are a reporting and visualization tool used to analyze data quality (e.g., show reports of records missing key fields) but they do not enforce data entry requirements or improve data quality at the point of entry.

C. Workflow Rules:
Workflow Rules are an older automation tool for actions (field updates, emails, tasks) based on criteria, but they cannot be used to make a field required or prevent a record from being saved, which is necessary to enforce data entry requirements. The modern equivalent, Flow, can be used for validation, but Workflow Rules themselves cannot.

Explanation:

Since categories are already set up, the next logical steps are to refine how the search engine interprets user queries and prioritizes results. The two best tools for this are:

B. Create synonyms for specific search terms:
Users often search for the same concept using different words (e.g., "internet," "wi-fi," "broadband"). By creating synonyms, you can ensure that a search for any of these terms will return relevant articles, even if the article itself only uses one of the words. This dramatically improves the recall and user-friendliness of the search.

D. Promote specific search terms for specific articles:
This feature, often called "Promoted Results" in the context of Knowledge or Einstein Search, allows an administrator to manually curate search results. When a user enters a specific promoted term, a designated, highly relevant article is forced to the top of the search results. This is perfect for ensuring users find critical articles for common queries.

Let's examine why the other options are incorrect:

A. Configure Global Search for specific search terms:
Global Search is configured by selecting which objects and fields are searched. It is not a tool for fine-tuning the semantics or result ranking for a specific domain like Knowledge. Its configuration is too broad for this specific use case.

C. Configure Einstein Search for specific search terms:
Einstein Search is a powerful, AI-driven tool, but it is largely automated. Administrators enable and configure its overall behavior (like result ranking or field weighting), but they do not "configure it for specific search terms" in the same direct, manual way as creating synonyms or promoted terms. The configuration is more about tuning the algorithm, not defining specific term-to-article relationships.

Reference:

Salesforce Help: "Define Search Synonyms" - Details how to create synonyms to make search more flexible.
Salesforce Help: "Promote Search Terms in Knowledge" - Explains how to boost specific articles to the top of the results for key queries. (Note: The exact terminology may be "Promoted Results" in your Salesforce edition).

Explanation:

Visual Studio Code (VS Code) is the recommended tool for editing Lightning Web Components (LWCs). Salesforce developers and administrators use VS Code along with the Salesforce Extension Pack to:

Access and modify component files (HTML, JavaScript, CSS)
Correct spelling errors or update instructional text
Deploy changes back to the org using Salesforce CLI

In this scenario, the administrator needs to fix a spelling error in the displayed text—which likely resides in the HTML template of the LWC. VS Code provides a full development environment to locate and edit that file efficiently.

❌ Why the Other Options Are Incorrect

A. Developer Org
A Developer Org is an environment, not a tool. You can deploy and test changes there, but you don’t edit code directly in the org interface.
C. Salesforce Lightning Inspector
This is a Chrome extension used for debugging Lightning components in the browser. It’s not designed for editing component code.
D. Developer Console
The Developer Console is useful for Apex code, SOQL queries, and logs—but it does not support editing Lightning Web Components, which are built using JavaScript and HTML.

Reference:
📘 Salesforce Help: Set Up Visual Studio Code

Explanation:

Why this fits best:
The bundle is pre-approved, so reps shouldn’t need to submit a discount for approval when they sell that specific offer. The clean Salesforce way to do this—without dismantling your current discount governance—is to publish the bundle at the approved promotional price and make it available through a separate price book (e.g., “Promo – Q4 Bundles”).
Reps then add the promo product at its list price from that promo price book, so they aren’t “discounting” anything—the price is already approved. Your existing approval process for other discounted deals stays intact. Salesforce’s official docs recommend using custom price books to offer different prices to different segments/uses, which is exactly this scenario.

Why not the others:
B. Implement CPQ — CPQ is powerful for complex bundles, rules, and advanced discounting, but it’s heavy if your need is simply a temporary, pre-approved bundle price. You can meet the requirement with standard Products & Price Books—no CPQ required. (CPQ “bundles” are a CPQ feature, but not needed here.) Salesforce
C. Remove the approval process — That would remove governance for all discounts, not just this one promotion. Salesforce’s own examples show approvals tied to discount thresholds—keep those for non-promo deals.
D. Enable Subscriptions — Subscriptions relate to recurring products/billing, not one-time promo bundles or discount approvals. It doesn’t address the requirement. (No official guidance connects “subscriptions” to bypassing discount approvals.)

Quick implementation sketch
Create a Product for the Bundle – Monitor + Keyboard (or keep components separate but price the bundle as a single product for simplicity).
Create a custom Price Book called something like Promo – Q4 Bundles. Add the bundle product with the pre-approved price.
Share/assign that price book to the appropriate users/teams; instruct reps to select from this price book when selling the promo.
Keep your discount approval process for any non-promo discounts on other products/opportunities.

Bonus tips (to keep you out of trouble)
Name it clearly. Give the promo price book and product names that make it obvious they’re pre-approved, so reps don’t try to apply additional discounts. Salesforce
Sunset the promo. When the deal ends, deactivate the price book entry or unshare the promo price book.
Reports & guardrails. Add a simple report on opportunities using the promo price book to track adoption; keep the approval process active for everything else (e.g., “>15% requires manager” as per Salesforce’s own examples). Trailhead

Bottom line:
Publish the bundle at its approved price via a separate price book, so reps can sell it without triggering discount approvals—while your normal discount approval process continues to govern everything else.

Explanation:

Why:
In Salesforce debug logs, the Workflow category is the one that captures automation like workflow rules, flows, and processes. When troubleshooting a user’s Flow issue via a trace flag, set the Workflow category to a finer level (e.g., Fine/Finer/Finest) to see detailed Flow execution lines (FLOW_* events), element entry/exit, and variable assignments.

Quick tip:
When you create the user trace flag, choose or create a Debug Level where Workflow = Finer (or Finest). This yields the most helpful Flow details without having to crank up every other category. You can set this from Setup → Debug Logs.

Why the others aren’t right:
B. Callout – Logs HTTP callouts/external service requests, not Flow logic per se. Salesforce Developers
C. System – Captures system method calls and System.debug(), but Flow specifics are in the Workflow category.
D. Database – Captures DML/SOQL details; useful context, but not the primary category for Flow steps.

Reference:
Salesforce Help — Debug Log Levels: “Workflow … includes information for workflow rules, flows, and processes.”

Explanation:

Cloud Kicks needs to create 10 separate environments with the same metadata and data as an existing developer sandbox for various projects. The key is to replicate the configuration and data efficiently across these environments. Here’s why using the existing sandbox as a sandbox template is the best approach and why the other options are less suitable:

B. Use the existing sandbox as a sandbox template:
A sandbox template allows administrators to define which objects and data to include when creating new sandboxes. By creating a sandbox template based on the existing developer sandbox, the administrator can use it to create multiple new sandboxes (e.g., Developer or Developer Pro sandboxes) with the same metadata and selected data. This approach ensures consistency across the 10 environments and is designed specifically for replicating sandbox configurations and data.
How it works:
In Salesforce, go to Setup > Sandboxes > Sandbox Templates, create a template based on the existing developer sandbox, select the objects and data to include, and then use this template to create the 10 new sandboxes. This is efficient and aligns with Salesforce’s standard sandbox management features.

Why not A (Use refresh sandbox without Auto Activate)?
Refreshing a sandbox updates an existing sandbox with the latest metadata and data from the production org, not from another sandbox. This option doesn’t allow replicating the existing developer sandbox’s specific configuration and data to create 10 new environments. Additionally, “Auto Activate” is a setting for user activation in sandboxes, not relevant to replicating data or metadata across multiple sandboxes.

Why not C (Use clone a sandbox option from the existing sandbox)?
Salesforce does not offer a direct “clone a sandbox” feature. While you can refresh a sandbox or create a new one, cloning is not a standard option in Salesforce’s sandbox management. The closest approach is using a sandbox template (option B) to replicate the configuration and data.

Why not D (Use a scratch org definition to copy sandbox)?
Scratch orgs are temporary, configurable environments used primarily in Salesforce DX for source-driven development. They are not designed to replicate an existing sandbox’s metadata and data directly. Creating a scratch org definition file to mimic a sandbox is complex, time-consuming, and not suited for this use case, as scratch orgs typically start with minimal data and require manual configuration or data loading.

Recommendations for Implementation

Steps:
Go to Setup > Sandboxes > Sandbox Templates in the production org.
Create a new sandbox template, selecting the objects and data from the existing developer sandbox to include in the new environments.
Create 10 new Developer or Developer Pro sandboxes (depending on data storage needs), selecting the sandbox template during creation.
Verify that the metadata (e.g., custom objects, fields, flows) and data are correctly replicated in each new sandbox.
Considerations:
Ensure the sandbox license limits (e.g., number of Developer or Developer Pro sandboxes) are sufficient for creating 10 environments. Check the data storage capacity, as Developer sandboxes have limited data storage (200 MB) compared to Developer Pro (1 GB).

References
Salesforce Help: Create a Sandbox Template (Trailhead module: “Sandbox Environments” in the Admin Advanced Trailmap for sandbox template setup).
Salesforce Help: Create or Refresh a Sandbox (covers using templates for sandbox creation).

Explanation:

This requirement has two distinct security needs that must be met simultaneously: immutability (cannot be changed) and masking (displaying only the last two digits). Only Shield Platform Encryption is designed to meet both requirements natively.

B. Enable Shield Platform Encryption: This is the foundational step. Shield Platform Encryption is a paid Salesforce service that provides encryption of data at rest. It is a prerequisite for using the advanced features needed to mask the data upon display. Classic Encryption is not sufficient for this use case.

C. Configure a Field Encryption Policy: Once Shield Platform Encryption is enabled, you create a Field Encryption Policy for the specific custom field storing the ID number. Within this policy, you can define the Masking Type. You would select a masking format (like "Show last 2 characters") which ensures that anywhere the field is displayed in the Salesforce UI (records, lists, reports), it will appear masked (e.g., **1234), except for users who have the "View Encrypted Data" permission.

Let's examine why the other options are incorrect or insufficient:

A. Use a field with Classic Encryption: Classic Encryption is a legacy, weaker encryption standard that does not support masking. It only encrypts the data at rest but does not control how it is displayed. It also lacks the granular cryptographic controls of Shield Platform Encryption and is not recommended for new implementations, especially for sensitive data like government IDs.

D. Set Read-Only Field-Level Security in the user Profile: While this would successfully make the field immutable (read-only) for users, it does nothing to mask the data. The full identification number would still be visible to anyone with read access to the field. This only solves one part of the requirement and fails the critical security need for data masking.

Reference:
Salesforce Help: "Get Started with Shield Platform Encryption" - Describes the capabilities and setup process for Shield Platform Encryption.
Salesforce Help: "Define Field Encryption Policies" - Explains how to create a policy and specifically how to set a masking format, which is the direct solution for displaying only the last few digits of a value.

Explanation:

Universal Containers uses a Private sharing model for both Accounts and Opportunities, which means users can only see records they own or that are explicitly shared with them. The new renewals team needs access to all Closed Won Opportunities, but Accounts must remain private.

Here’s how Option D meets the requirements:
Create a public group for the renewals team to manage access collectively.
Use a criteria-based sharing rule on the Opportunity object to share Closed Won records with this group.
This ensures the renewals team can see all Closed Won Opportunities, regardless of ownership.
Because Opportunities are being shared directly, the related Accounts remain private, satisfying the confidentiality requirement.

❌ Why the Other Options Are Incorrect
A. Update the organization-wide default on Opportunities to Public Read Only and add them to the opportunities team
This would expose all Opportunities to everyone, not just Closed Won ones. It violates the requirement to keep access limited and controlled.
B. Create a permission set with View All enabled on Accounts and assign it to the new users
This would give users access to all Accounts, which contradicts the requirement to keep Accounts private.
C. Create a new profile for the renewals team with View All permission enabled on Accounts and Opportunities
Similar to Option B, this grants unrestricted access, including to Accounts, which is not acceptable under the stated privacy model.

Reference:
📘 Salesforce Help: Sharing Rules

The key requirements are:

Data Requirement: 160MB of test data.
Refresh Cadence: Every other day (a very high frequency).

Let's analyze the sandbox types against these needs:

B. Developer:
A Developer sandbox includes a copy of your production org's metadata (configurations, code, etc.). It includes 0 MB of data by default, but you can specify up to 200 MB of data during the sandbox creation or refresh. Since 160MB is well under this 200MB limit, a Developer sandbox can meet the data requirement. It also has a 1-day refresh interval, meaning you can refresh it every 24 hours, which satisfies the "every other day" requirement.

C. Developer Pro:
A Developer Pro sandbox is identical to a Developer sandbox in terms of its data capacity (200 MB) and refresh interval (1 day). The only difference is it offers more storage for metadata (1 GB vs. 200 MB) and allows for more daily API calls. For the specific requirements of 160MB of data and a 1-day refresh, a Developer Pro sandbox is also perfectly suitable. An organization might choose Developer Pro if they are approaching the 200MB metadata limit of a standard Developer sandbox.

Let's examine why the other options are incorrect:

A. Partial Copy:
A Partial Copy sandbox includes a predefined amount of data (5 GB standard, configurable up to 5 GB) and has a 5-day refresh interval. While it can easily hold 160MB of data, it cannot be refreshed every other day due to its 5-day minimum wait period between refreshes. This fails the core requirement.

D. Full:
A Full sandbox is a complete copy of your production org, including all data. It has a very long 29-day refresh interval and is a resource-intensive operation. It is completely unsuitable for a small 160MB data requirement and a daily refresh cadence.

Reference:
Salesforce Help: "Sandbox Types and Templates" - This documentation provides a comparison table that clearly lists the Refresh Interval and Data Storage limits for each sandbox type. This table is the definitive source for confirming that only Developer and Developer Pro sandboxes support a 1-day refresh interval.