Plat-Dev-301 Dumps Guide: Salesforce Certified Platform Developer II - Multiple Choice & Plat-Dev-301 Actual Test & Plat-Dev-301 Exam Torrent

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Salesforce Plat-Dev-301 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Modeling	12%	- External objects and data sources - Large data volumes considerations - Advanced object relationships and data modeling
Topic 2: Testing, Debugging, and Deployment	15%	- Debugging and performance profiling - Test data strategies and mocking - Deployment tools (SFDX, Metadata API) - Apex unit testing best practices
Topic 3: Logic and Process Automation	22%	- Dynamic Apex and SOQL/SOSL - Advanced Apex programming - Invocable Actions and Platform Events - Asynchronous Apex (Batch, Queueable, Future, Scheduled)
Topic 4: Architecture	18%	- Namespace and package management - Design patterns and Apex trigger frameworks - Governor limits and bulkification - Apex Enterprise Patterns
Topic 5: Integration	15%	- Named Credentials and authentication - REST and SOAP web services (Apex callouts) - External Services and Connect REST API - Platform Events and Change Data Capture
Topic 6: User Interface	18%	- Visualforce advanced controllers - Lightning Data Service - Aura Components - Lightning Web Components (LWC) advanced features

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The Salesforce Certified Platform Developer II - Multiple Choice (Plat-Dev-301) certification exam is one of the top-rated career advancement certifications in the market. This Plat-Dev-301 exam dumps have been inspiring beginners and experienced professionals since its beginning. There are several personal and professional benefits that you can gain after passing the Plat-Dev-301 Exam. The validation of expertise, more career opportunities, salary enhancement, instant promotion, and membership of Salesforce certified professional community.

Salesforce Certified Platform Developer II - Multiple Choice Sample Questions (Q21-Q26):

NEW QUESTION # 21
The use of the transient keyword in Visualforce page controllers helps with which common performance issue?

A. Improves query performance
B. Improves page transfers
C. Reduces load times
D. Reduces view state

Answer: D

Explanation:
The transient keyword in Visualforce page controllers marks variables that should not be part of the view state, which can significantly reduce the size of the view state. This can help avoid view state limit errors and improve page performance because a smaller view state requires less time to send to the client.

NEW QUESTION # 22
A developer wants to write a generic Apex method that will compare the Salesforce Name field between any two object records. For example, to compare the Name field of an Account and an Opportunity; or the Name of an Account and a Contact.
Assuming the Name field exists, how should the developer do this?

A. Use a string. Replace () method to parse the contents of each Name field and then compare the results.
B. describe) function to compare the values of each Name field.
C. Cast each object into an sObject and use sObject.get to compare the Name fields.
D. Use the Salesforce Metadata API to extract the value of each object and compare the Name fields.

Answer: C

Explanation:
Casting each object to an sObject and using the get method to compare the Name fields is the correct approach. This is because sObjects are generic object representations that can be used to access the fields of any Salesforce object dynamically. Reference:
sObject Class

NEW QUESTION # 23
A developer is asked to build a solution that will automatically send an email to the customer when an Opportunity stage changes. The solution must scale to allow for 10,000 emails per day. The criteria to send the email should be evaluated after certain conditions are met.
What is the optimal way to accomplish this?

A. Use an Email Alert with Flow Builder.
B. Use a Workflow Email Alert.
C. Use MassEmailMEssage () With an Apex trigger.
D. Use SingleEmailMessage() with an Apex trigger.

Answer: A

Explanation:
Using an Email Alert with Flow Builder allows for scalable solutions that can handle large volumes of emails, and it offloads the processing from Apex to Salesforce's declarative automation tools. This approach is also bulk-safe, as it does not rely on Apex code that could hit governor limits.

NEW QUESTION # 24
A Visualforce page needs to make a callout to get billing information and tax information from two different REST endpoints. The information needs to be displayed to the user at the same time and the return value of the billing information contains the input for the tax information callout. Each endpoint might take up to two minutes to process.
How should a developer implement the callouts?

A. A Continuation for both the billing callout and the tax callout
B. An HTTP REST callout for both the billing callout and the tax callout
C. An HTTP REST callout for the billing callout and a Continuation for the tax callout
D. A Continuation for the billing callout and an HTTP REST callout for the tax callout

Answer: A

Explanation:
Using Continuation for both callouts is the optimal solution when you have long-running callouts in a Visualforce page, as it allows the page to wait for a long-running process without tying up server resources. The Continuation pattern is specifically designed for scenarios where the request-response cycle could exceed the timeout limits.

NEW QUESTION # 25
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. Break down the query into two individual queries and join the two result sets.
C. Create a formula field to combine the createdDate and RecordType value, then filter based on the formula.
D. Use the Database queryLocator method to retrieve the accounts.

Answer: D

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 # 26
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