SF-PD2 Testing, Debugging, and Deployment Practice Test 5 — 15 Questions

Question 1

A developer wants to ensure that their Apex code is tested against a specific set of data that is consistent across all sandbox environments. What is the best way to achieve this?

Accepted Answer

Use the @testSetup annotation to create data once per class.. Using @testSetup methods allows developers to create a baseline set of data that executes once for the entire test class. This ensures that every test method starts with the same data state, reducing setup redundancy and improving test reliability. This consistency is essential for debugging and ensuring that tests remain stable as the project grows and evolves over time.

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Hardcode the data creation in each individual @isTest method.

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Query for data that already exists in the environment.

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Create a separate trigger to populate test data during deployment.

Question 2

A developer is writing an Apex class that needs to handle high volumes of data. Which pattern should they follow to avoid hitting Governor Limits?

Accepted Answer

Refactor all SOQL queries and DML statements outside of loops.. Bulkification is the cornerstone of Salesforce development. By processing records in collections (Lists, Maps, Sets) rather than iterating and performing DML or SOQL inside loops, developers keep their code within platform limits. This ensures the code can handle the maximum number of records in a single transaction, which is crucial for scalability and performance in high-volume enterprise applications.

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Use @future methods for every DML operation.

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Enable 'Parallel Apex Testing' in the org setup.

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Increase the record limit by using the Apex 'Limits' class.

Question 3

Refer to the exhibit. A deployment is failing with this error. What is the most likely cause?

Accepted Answer

The custom field is not in the deployment package.. The error indicates a metadata mismatch between the source and target environments. The code references a field that hasn't been deployed or is missing from the target. A successful deployment requires all dependencies, including custom fields and objects, to be present in the target org. Proper tracking of metadata dependencies is essential for avoiding these common deployment failures and ensuring code compatibility across different environments.

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The user performing the deployment lacks field-level security.

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The Apex class was compiled in the wrong API version.

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The custom field needs to be marked as 'Required'.

Question 4

Which of the following is an advantage of using a 'Source-Driven' development model over an 'Org-Centric' model?

Accepted Answer

It facilitates parallel development through version control branching.. Source-driven development treats the version control system as the source of truth, enabling better collaboration, easier branching, and more stable release cycles. It removes the dependency on the state of a single, monolithic org. This approach is essential for large teams and modern DevOps, reducing the risks associated with manual configuration changes and providing a clear, auditable history of the entire application's development.

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It allows developers to skip unit tests during the release process.

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It eliminates the need for managing deployment manifests.

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It allows for faster development because you don't have to compile code.

Question 5

Refer to the exhibit. A developer encounters this policy during a deployment attempt via the CI/CD pipeline. What does this indicate about the deployment process?

Accepted Answer

The deployment is being blocked by a governance policy.. The JSON policy indicates that the environment is locked against direct deployment actions, likely as a security measure to prevent unauthorized changes. This requires the developer to use a standard release path, such as moving code through a staging environment or obtaining specific approvals. Understanding these governance policies is crucial for maintaining compliance and security in large-scale enterprise deployments.

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The developer needs to increase the CI/CD pipeline timeout.

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The source code has syntax errors preventing the deployment.

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The Salesforce org is currently in read-only mode.

Question 6

Which command is used in the Salesforce CLI to retrieve metadata from an org to a local project?

Accepted Answer

sf project retrieve start. The 'sf project retrieve start' command is the standard mechanism for synchronizing metadata from an org to your local development environment. This keeps the local project in sync with the source of truth, enabling developers to work with the latest configuration and code base, which is fundamental to version-controlled development workflows.

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sf project pull

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sf org fetch

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sf metadata download

Question 7

Refer to the exhibit. A developer wants to enable log filtering for a specific package. Where should this configuration be managed?

Accepted Answer

In the Debug Logs section under Setup.. Log filtering and debugging levels are managed within the Salesforce Debug Logs setup. While the provided JSON snippet represents a configuration style, Apex debug settings are specifically controlled through the 'Debug Logs' section in the Setup menu, where trace flags define the granularity of logs for specific users, classes, or triggers to prevent log exhaustion.

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In the sfdx-project.json file.

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In the Custom Metadata Types settings.

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In the Apex Class definition file.

Question 8

Refer to the exhibit. A developer encounters this error while performing a bulk update of 200 Account records. What is the root cause of this exception?

Accepted Answer

The developer is performing individual DML operations inside a loop instead of bulkifying.. The error indicates that the code is executing DML operations inside a loop rather than performing bulk DML on a collection. In Salesforce, DML operations are limited to 150 per transaction. This is a critical architectural violation because it prevents code from scaling to meet the demands of bulk processing, causing runtime failures during batch updates or heavy user activity, which leads to poor system reliability.

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The trigger logic is attempting to update the same record more than 150 times.

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The batch size in the data loader is set too high for the current trigger logic.

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The org-wide daily DML limit has been exceeded due to high transaction volume.

Question 9

A developer needs to deploy a complex Apex class and its corresponding test class to production. The org's unit test coverage is currently 74%. Which statement accurately describes the deployment requirements?

Accepted Answer

The deployment will fail because the aggregate code coverage must be at least 75%.. Salesforce mandates a minimum of 75% code coverage for all Apex classes and triggers in an organization to deploy to production. Since the current coverage is 74%, the deployment will fail unless the new tests push the total organization coverage above the required threshold. This rule ensures that developers maintain high-quality code and provides a safety net against regressions, emphasizing the critical importance of writing effective tests during development.

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The deployment will succeed because unit tests only need to be written for the new code.

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The developer can bypass the coverage requirement by using the 'Ignore Warnings' flag in deployment.

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The deployment will succeed if the new Apex class itself has 75% coverage.

Question 10

Refer to the exhibit. A developer is deploying code using the Salesforce CLI. What is the most likely reason for this failure?

Accepted Answer

The test method failed an assertion or encountered an unhandled exception.. The error indicates that the deployment failed specifically because of a unit test failure in the metadata package. Salesforce requires all tests in the deployment package to pass to ensure code quality. This process is essential for maintaining production stability, as it prevents the introduction of breaking changes, logic errors, or performance regressions that could manifest once the code is active in the production environment.

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The deployment package contains invalid metadata syntax for the AccountTrigger component.

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The Salesforce org has reached its storage limit, preventing new record creation in the test.

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The CLI environment is missing the necessary permissions to execute Apex tests.

Question 11

A developer needs to verify that an asynchronous Apex process (Future method) executes correctly in a test environment. Which approach is best suited to ensure the test waits for the asynchronous execution to finish before asserting the results?

Accepted Answer

Wrap the asynchronous call between Test.startTest() and Test.stopTest().. The Test.startTest() and Test.stopTest() methods define a block where the platform processes asynchronous operations, such as @future methods or Queueable Apex. When Test.stopTest() is called, the platform forces the completion of all asynchronous jobs within the test context, allowing the developer to assert the outcomes synchronously. This is vital for ensuring test reliability and preventing race conditions during verification.

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Use the Thread.sleep() method to pause the test execution until the job completes.

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Query the AsyncApexJob table to check the status of the job before asserting.

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Use the System.enqueueJob() method within the test to monitor the job.

Question 12

During a deployment, a developer notices that existing Apex tests are failing, even though the new code changes are unrelated to the failing tests. What is the most likely cause?

Accepted Answer

The tests depend on existing data in the environment that has changed.. This scenario suggests that existing tests are dependent on specific org data or state that was altered, or they are fragile due to hardcoded dependencies. Salesforce tests must be independent and self-contained to avoid such side effects. This highlights the critical importance of test data isolation and the avoidance of relying on existing production records, which are unreliable for consistent testing and can lead to unexpected failures during deployment.

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The deployment package deleted existing tests that were required for coverage.

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The Salesforce platform automatically updates existing Apex code, causing regressions.

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Deployment always triggers a full system reset of the production database.

Question 13

A developer is attempting to debug a failed deployment in a sandbox. The error message is cryptic, and the debug logs are not capturing the expected execution flow. What should the developer do first?

Accepted Answer

Increase the debug log level for the user executing the deployment.. Effective debugging starts with ensuring the logging level is correctly configured. If logs are not capturing the flow, it is likely the log level for 'Apex Code' or 'Apex Profiling' is set to 'None' or 'Error'. Increasing the verbosity to 'Fine' or 'Finest' is the standard procedure to gain visibility into the execution path, allowing for the identification of logic errors or incorrect configuration.

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Delete the Apex class and re-deploy it.

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Refresh the sandbox to clear any corrupted metadata.

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Open a Salesforce support ticket immediately.

Question 14

A developer needs to measure the performance of a specific Apex code block in production. Which tool should be used to analyze CPU time without impacting end-user experience?

Accepted Answer

Debug logs with Apex Profiling categories set to 'Finest'.. The Apex Debug log with profiling enabled is the appropriate tool. By analyzing the 'CPU Time' and 'Total Time' entries, the developer can measure the performance cost of specific method calls. This approach is minimally invasive and can be targeted to specific users, ensuring that performance metrics are gathered in the production environment without causing system-wide impact or performance degradation for the general user base.

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Test.startTest() and Test.stopTest() for profiling.

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System.debug() statements added throughout the code.

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The Salesforce Optimizer tool.

Question 15

A developer is writing a test class that requires a user with a specific profile. How should the developer handle the user creation process?

Accepted Answer

Create a new user within the test method and use System.runAs().. Tests must create their own data, including Users, to ensure they remain self-contained and environment-independent. Using the 'RunAs' method in combination with user creation allows the developer to simulate specific security and permission contexts. This ensures that the logic is tested exactly as it would be for the target user, confirming that the code respects the platform's security model consistently.

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Query an existing user from the production environment.

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Hardcode the username of a system administrator.

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Grant the test user the 'Modify All Data' permission via a PermissionSet.