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NEW QUESTION # 95
A developer created a trigger on the Account object and wants to test if the trigger is properly bulkified. The developer team decided that the trigger should be tested with 200 account records with unique names.
What two things should be done to create the test data within the unit test with the least amount of code?
Choose 2 answers
Answer: C,D
Explanation:
To test the trigger with 200 account records with unique names using the least amount of code:
Option A: Use Test.loadData to populate data in your test methods.
Reference:
"Test.loadData lets you populate test records by loading the contents of a CSV file into sObjects for use in test methods."
- Apex Developer Guide: Using Test.loadData
Option B: Create a static resource containing test data.
"Create a static resource that contains the .csv file for the records you want to load."
- Apex Developer Guide: Loading Test Data from Static Resources
Why Other Options Are Incorrect:
Option C: The @isTest(isParallel=true) annotation is used to run tests in parallel but does not help in creating test data.
Option D: Using @isTest(seeAllData=true) allows access to existing org data, which is not recommended and does not help create unique test data with minimal code.
NEW QUESTION # 96
What is an example of a polymorphic lookup field in Salesforce?
Answer: A
Explanation:
* Polymorphic Lookup Fields:
* These fields can reference multiple object types.
* Example: TheWhatIdfield on Event can reference any object that is related to the Event, such as Account or Opportunity.
* Why Not Other Options?
* A:ParentIdon Account is not polymorphic; it only points to other Accounts.
* B: Custom fields cannot be polymorphic.
* D:LeadIdandContactIdare specific fields, not polymorphic.
References:Polymorphic Lookups:https://developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference/field_types.htm
NEW QUESTION # 97
What are two ways a developer can get the status of an enqueued job for a class that implements the queueable interface?
Choose 2 answers
Answer: C,D
Explanation:
* Apex Jobs Page:
* Provides a user-friendly interface to view the status and details of enqueued jobs, including those implementing theQueueableinterface.
* AsyncApexJob Object:
* TheAsyncApexJobobject stores information about queued Apex jobs.
* Developers can query this object for job details likeStatus,JobType, etc.
Example SOQL Query:SELECT Id, Status, JobType, CreatedDate
FROM AsyncApexJob
WHERE JobType = 'Queueable'
* Why Not Other Options?
* A. Apex Status page: Not a relevant Salesforce feature.
* D. Apex Flex Queue: Only applicable to Batch Apex jobs, not Queueable jobs.
References:AsyncApexJob:https://developer.salesforce.com/docs/atlas.en-us.api.meta/api/sforce_api_objects_asyncapexjob.htm
NEW QUESTION # 98
Which three data types can a SOQL query return?
Choose 3 answers
Answer: A,D,E
Explanation:
* sObject: SOQL queries can return single or multiple records as sObject instances.
* List: SOQL queries often return results as a List of sObject.
* Double: SOQL aggregate queries can return numeric data types like Double (e.g., COUNT, SUM).
NEW QUESTION # 99
What is a benefit of developing applications in a multi-tenant environment?
Answer: B
Explanation:
Answer B is correct. Salesforce delivery depends on repeatable testing and controlled deployment. Apex tests create isolated data, validate behavior, and supply code coverage for production deployment. Salesforce CLI, scratch orgs, sandboxes, debug logs, trace flags, and Apex Jobs give developers the tooling needed to build, test, diagnose, and release changes across environments. The other options either use the wrong platform feature, apply at the wrong layer, or ignore a key Salesforce constraint. For Platform Developer I, the important point is not just syntax; it is choosing the feature that aligns with transaction behavior, security enforcement, maintainability, and supported metadata capabilities. Reference focus: Salesforce Apex Developer Guide, Salesforce CLI Developer Guide, Tooling API documentation, and Salesforce Help deployment guidance. This distinction is important in production orgs because small design mistakes can create deployment failures, runtime exceptions, data-quality defects, or user-visible security gaps once automation is executed in bulk or from multiple entry points.
NEW QUESTION # 100
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