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Salesforce PDI certification exam is a 105-minute exam consisting of 60 multiple-choice questions. PDI exam is administered by Salesforce and is available in English, Japanese, and Spanish. PDI exam is computer-based and can be taken at one of the many testing centers located around the world. PDI Exam covers a range of topics such as Apex programming, Visualforce development, data modeling, and database design, among others.
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Salesforce PDI Certification Exam is a comprehensive test that assesses an individual's ability to develop and customize Salesforce applications. PDI exam covers a broad range of topics, including Apex programming language, Visualforce pages, data modeling, and security. It requires a solid understanding of the Salesforce platform and the ability to apply that knowledge to real-world scenarios. Those who pass the exam will have demonstrated their ability to design and develop custom applications that meet the unique needs of their organization.
NEW QUESTION # 95
Assuming that naze is 8 String obtained by an <apex:inpotText> tag on 8 Visualforce page, which two SOQL queries performed are safe from SOQL injection?
'Choose 2 answers
Answer: A,D
NEW QUESTION # 96
In terms of the MVC paradigm, what are two advantages of implementing the view layer of a Salesforce application using Lightning Web Component-based development over Visualforce?
Choose 2 answers
Answer: A,C
NEW QUESTION # 97
Given the following code snippet, that is part of a custom controller for a Visualforce page:
In which two ways can the try/catch be enclosed to enforce object and field-level permissions and prevent the DML statement from being executed if the current logged-in user does not have the appropriate level of access? Choose 2 answers
Answer: A,D
NEW QUESTION # 98
A developer created a trigger on the Account object. While testing the trigger, the developer sees the error message ' Maximum trigger depth exceeded ' .
What could be the possible causes?
Answer: C
Explanation:
Answer A 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 # 99
Which two actions may cause triggers to fire?
Answer: A,C
Explanation:
Answers A, D are correct. Apex triggers run as part of the Salesforce save transaction and must be designed around the order of execution, valid context variables, recursion risk, and bulk processing. Correct trigger design keeps logic in handlers, avoids SOQL and DML inside record loops, uses addError() when validation must block the transaction, and expects declarative automation to participate in the same transaction. 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, SOQL and SOSL Reference, Flow Builder Help, and Apex Reference Guide. 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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