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Salesforce PDII Exam Syllabus Topics:

Section	Objectives
Testing, Debugging, and Deployment	- Deployment and debugging 1. Debug logs and performance tuning 2. Change sets and CI/CD tools - Test-driven development 1. Writing advanced Apex test classes 2. Test data factory patterns
Asynchronous Apex	- Scheduled and future methods 1. Use cases for @future methods 2. Scheduling Apex jobs - Batch Apex and Queueable Apex 1. Chaining Queueable jobs 2. Batch processing strategies and governor limits
Advanced Apex Programming	- Complex Apex logic implementation 1. Dynamic Apex and reflection concepts 2. Advanced exception handling strategies - Advanced Apex design patterns 1. Separation of concerns in Apex applications 2. Enterprise patterns (service, domain, selector layers)
Integration and APIs	- Salesforce integration patterns 1. Callout patterns and limits 2. REST and SOAP API usage - External system integration 1. Named Credentials and authentication 2. Platform Events and Change Data Capture

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Salesforce Platform Developer II Sample Questions (Q96-Q101):

NEW QUESTION # 96
A developer needs to implement a system audit feature that allows users, assigned to a custom profile named
"Auditors", to perform searches against the historical records in the Account object. The developer must ensure the search is able to return history records that are between 6 and 12 months old.
Given the code below, which select statement should be inserted below as a valid way to retrieve the Account History records ranging from 6 to 12 months old?

Answer: C

Explanation:
Given the code snippet, the correct query to retrieve Account History records between 6 and 12 months old would be the one that includes a WHERE clause filtering records where the CreatedDate is greater than or equal to initialDate and less than or equal to endDate. Option B's statement does this correctly by using the >
= and <= operators to define the range between initialDate (which is set to today's date minus 12 months) and endDate (set to today's date minus 6 months). Options A, C, and D either use incorrect comparison operators or compare against the wrong variables, resulting in an incorrect data set being returned.
References
SOQL Date Formats and Date Literals: SOQL and SOSL Reference Guide

NEW QUESTION # 97
Consider the following code snippet:

Choose 2 answers

A. import { LightningElement, wire ) from 'lwc';
B. import getOrders from ,@salesforce/apex/OrderController.getAvailableOrders';
C. import getOrders from @salesforc/apex/c.OrderController.getAvailablOrders';
D. import ( LightningElement-apt ) from 'lwc*.-

Answer: A,B

NEW QUESTION # 98
Consider the queries in the options below and the following Information:
* For these queries, assume that there are more than 200,000 Account records.
* These records Include soft-deleted records; that is, deleted records that are still in the Recycle Bin.
* There are two fields that are marked as External Id on the
Account. These fields are customer_Number_c and ERR_Key_ s.
Which two queries are optimized for large data volumes?
Choose 2 answers

A. SELECT Id FROM Account WHERE Name !- NULL
B. SELECT ID FROM Account WHRE id IN :aListVariable
C. SELECT 1d FROM Accounts WHERE Name != '
AND Customer_Number_c- "ValueA'
D. SELECT Id FROM Account WHERE Name != ' 'AND IsDeleted = false

Answer: C,D

Explanation:
For optimizing queries, especially on large data volumes, it's recommended to use indexed fields such as External ID fields, which will make the queries selective. Among the options given:
* B) is optimized because it is using the Customer_Number__c field, which is an External ID and hence indexed.
* D) is also optimized because it filters out deleted records with IsDeleted = false and uses Name != ' ', which is likely to be selective.
Using indexed fields and filtering out unnecessary records helps in faster query execution on large data volumes.
References:
Make SOQL Query Selective
Working with Very Large SOQL Queries

NEW QUESTION # 99
A managed package uses a list of country ISO codes and country names as reference data in many different places from within the managed package Apex code.
What is the optimal way to store and retrieve the list?

A. Store the information in Custom Metadata and query it with SOQL
B. Store the information in a List Custom Setting and query it with SOQL
C. Store the information in Custom Metadata and access it with the getAll() method
D. Store the information in a List Custom Setting and access it with the getAll() method

Answer: D

Explanation:
Explanation/Reference: https://developer.salesforce.com/docs/atlas.en-us.apexcode.meta/apexcode/ apex_customsettings.htm

NEW QUESTION # 100
A developer notices the execution of all the test methods in a class takes a long time to run, due to the initial setup of all the test data that is needed to perform the tests. What should the developer do to speed up test execution?

A. Reduce the amount of test methods in the class.12
B. Ensure proper usage of test data factory in all test methods.34
C. Define a method that creates test data and annotate with @testSetup.
D. Define a method that creates test data and annotate with @createData.

Answer: C

Explanation:
Comprehens7ive and Detailed 150 8to 250 words of Explanation:
In Salesforce Apex testing, the @testSetup annotation is a powerful tool designed to improve test performance and reduce code redundancy. When a method is marked with @testSetup, it executes once before any of the individual test methods in the class run. The data created in this method is then persisted for the entire class.
The primary performance benefit comes from how Salesforce handles this data: the platform creates a
"snapshot" of the database state after the setup method finishes. For every subsequent test method in the class, the system simply rolls back the database to this snapshot rather than re-executing the data creation logic. This significantly reduces the time spent on DML operations, which are often the most time-consuming part of a test suite.
Option D (Data Factories) is a best practice for code reuse, but if called inside every test method, it still results in redundant DML operations. Options A and B are incorrect; @createData is not a valid Salesforce annotation, and reducing the number of tests sacrifices code coverage and quality. By using @testSetup, a developer ensures that heavy data initialization happens only once, leading to faster execution cycles and more efficient resource usage during deployments.

NEW QUESTION # 101
......

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