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| Section | Objectives |
|---|
| Topic 1: Testing and Deployment | - Testing strategies
- 1. Code coverage and quality practices
- 2. Test data creation and mocking
- Deployment lifecycle
- 1. Change sets and deployment tools
- 2. Version control and CI/CD concepts
|
| Topic 2: Application Development | - Asynchronous processing
- 1. Future methods and limits considerations
- 2. Scheduled Apex
- 3. Batch Apex and Queueable Apex
- Advanced Apex programming
- 1. Dynamic Apex and metadata-driven development
- 2. Apex design patterns and best practices
- 3. Exception handling and debugging strategies
|
| Topic 3: Data Modeling and Management | - Data access and security
- 1. Security enforcement in Apex
- 2. Sharing rules and Apex-managed sharing
- Advanced data modeling
- 1. Complex relationships and schema design
- 2. Large data volume considerations
|
| Topic 4: Integration and APIs | - Platform events and messaging
- 1. Change Data Capture concepts
- 2. Event-driven architecture
- External system integration
- 1. Callouts from Apex
- 2. REST and SOAP API usage
|
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Salesforce Certified Platform Developer II - Multiple Choice Sample Questions (Q130-Q135):
NEW QUESTION # 130
Consider the following code snippet:

The Apex method is executed in an environment with a large data volume count for Accounts, and the query is performing poorly. Which technique should the developer implement to ensure the query performs optimally, while preserving the entire result set?
- A. Annotate the method with the @Future annotation
- B. Use the Database queryLocator method to retrieve the accounts.
- C. Create a formula field to combine the createdDate and RecordType value, then filter based on the formula.
- D. Break down the query into two individual queries and join the two result sets.
Answer: B
Explanation:
When dealing with large data volumes in Salesforce and ensuring optimal performance for queries, it's important to choose an approach that both handles the data volume efficiently and retrieves the complete result set.
Option D is correct because using the Database.QueryLocator method is a best practice for handling large data volumes. It is typically used with batch Apex, which can process records in batches, thus reducing the likelihood of hitting governor limits. It's designed to handle very large data sets that would otherwise exceed normal SOQL query limits.
Option A is incorrect because creating a formula field doesn't improve the performance of the query. It simply creates a new field that combines existing data, but it does not inherently optimize the query execution.
Option B is incorrect because breaking down the query into two parts and joining them in Apex could potentially be less efficient and would require additional code to manage the combined result sets. This approach does not leverage the built-in Salesforce features designed to handle large data volumes.
Option C is incorrect because the @Future annotation makes the method execute asynchronously, but it does not help with query performance or large data volume management.
s:
Salesforce Documentation on Working with Very Large SOQL Queries: Working with Very Large SOQL Queries Salesforce Documentation on Using Batch Apex: Using Batch Apex
NEW QUESTION # 131
A developer has a test class that creates test data before making a mock callout but now receives a 'You have uncommitted work pending. Please commit or rollback before calling out' error.
Which step should be taken to resolve the error?
- A. Ensure both the Insertion and mock callout occur after the I==L. stoptest_().
- B. Ensure the records are inserted before the Test.startTess() statement and the mock callout occurs after the Test. Startest().
- C. Ensure both the insertion and mock callout occur after the Test.startTest().
- D. Ensure the records are Inserted before the Tezt.startTest() statement and the mock callout occurs within a method annotated with @testSetup.
Answer: B
Explanation:
When working with Apex tests that involve callouts, it's important to avoid the 'uncommitted work pending' error. This error typically occurs because DML operations (like inserts) are pending when a callout is attempted. Salesforce requires that all callouts are made before any DML operations in a transaction. To avoid this, the pattern is to insert the records before calling Test.startTest(), and then make the callout after this call. Test.startTest() marks the point where your actual test begins, and it resets the governor limits. By making the callout after this point, it ensures that the DML operations are committed and you are within a new execution context regarding governor limits.
Testing HTTP Callouts by Implementing the HttpCalloutMock Interface
Understanding Execution Contexts
NEW QUESTION # 132
Which two queries are selective SOQL queries and can be used for a large data set of 200,000 Account records?
Choose 2 answers
- A. SELECT Id FROM Account WHERE Name LIKE '!-NULL
- B. SELECT Id FROM Account WHERE II IK (List of Account Ida)
- C. SELECT Id FRCM Account WHERE Name != ' '
- D. SELECT Id FRCM Account WHEP Name IN (List of Names) AND Customer_Number_c= 'ValueA
Answer: C,D
Explanation:
Selective queries in SOQL are optimized for performance. Query B is selective because it filters out empty names, which are likely to be less in number. Query C is selective if the list of names is small, and 'Customer_Number_c' is indexed or can be used as an external ID field. Working with Very Large SOQL Queries
NEW QUESTION # 133
Refer to the markup below:

A Lightning web component displays the Account name and two custom fields out of 275 that exist on the abject. The custom fields are correctly declared and populated. However, the developer receives complaints that the component performs slowly. What can the developer do to improve the performance?
- A. Add density="compat" to the component.
- B. Replace layout-type =''1" with fields=(fields}.
- C. Add cache="true" to the component.
- D. Replace Layout-type =''Full1" with Layout-type="Partial".
Answer: B
Explanation:
To improve performance, the developer should specify only the fields needed by using the fields attribute in the lightning-record-form instead of loading all fields with layout-type="Full". This reduces the amount of data being retrieved and processed, thus improving the component's performance.
NEW QUESTION # 134
A developer is building a complex commission calculation engine in Apex that is called from an Opportunity trigger. During QA it was reported that the calculations are incorrect.
The developer has representative test data and passing test methods in their developer sandbox.
Which three tools or techniques could the developer use to execute the code and pause it at key lines to visually inspect values of various Apex variables?
Choose 3 answers
- A. Apex Replay Debugger
- B. Workbench
- C. Developer Console
- D. Apex Interactive Debugger
- E. Breakpoints
Answer: A,C,D
Explanation:
To debug and troubleshoot the commission calculation engine, a developer can use several tools provided by Salesforce to inspect and pause the execution of Apex code.
Apex Interactive Debugger: It allows real-time debugging of Apex code execution. With this tool, a developer can set breakpoints, step through code, inspect variables, and evaluate expressions.
Developer Console: Although the Developer Console does not allow interactive debugging, it does provide the ability to view logs that capture the execution of code. Debug logs can be inspected to understand the flow of execution and values of variables at different points in time.
Apex Replay Debugger: This tool is part of Salesforce Extensions for Visual Studio Code. It allows a developer to replay a debug log as if they are stepping through the code line by line, which can be very useful to inspect the state of variables at specific points in the execution.
Apex Interactive Debugger
Developer Console Debugging
Apex Replay Debugger
NEW QUESTION # 135
......
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