Salesforce PDI : Platform Developer I Exam Dumps

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Latest 2023 Updated Salesforce Platform Developer I Syllabus
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Exam Number : PDI
Exam Name : Platform Developer I
Vendor Name : Salesforce
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PDI Exam Format | PDI Course Contents | PDI Course Outline | PDI Exam Syllabus | PDI Exam Objectives

EXAM CODE: PDI
EXAM NAME: Platform Developer I

Content: 60 multiple-choice/multiple-select questions
Time allotted to complete the exam: 110 minutes
Passing Score: 65%
Registration fee: USD 200, plus applicable taxes as required per local law
Retake fee: USD 100, plus applicable taxes as required per local law

SALESFORCE FUNDAMENTALS
 Describe the considerations when developing in a multi-tenant environment.
 Describe how the Salesforce platform features map to the MVC pattern.
 Describe the capabilities of the core CRM objects in the Salesforce schema.
 Identify the common scenarios for extending an application's capabilities using the AppExchange.
 Identify common use cases for declarative customization of the Lightning
Platform, and customization and features of the Heroku platform.
DATA MODELING AND MANAGEMENT
 Given a set of requirements, determine the appropriate data model.
 Describe the capabilities of the various relationship types and the implications
of each on record access, user interface (UI), and object-oriented
programming.
 Describe the impact of schema design and modifications on Apex
Development.
 Describe how to visualize and create entity relationships.
 Describe the options for and considerations when importing and exporting
data into development environments.
LOGIC AND PROCESS AUTOMATION
 Describe how to programmatically access and utilize the object schema.
 Describe the capabilities and use cases for formula fields.
 Describe the capabilities and use cases for roll-up summary fields.
 Describe the capabilities of the declarative process automation features.
 Describe when to use declarative automation features vs. Apex classes and
triggers.
 Describe how to declare variables and constants in Apex and how to assign
values using expressions.
 Describe the primitive and complex Apex data types and when to use them.
 Describe how to use and apply Apex control flow statements.
Weighting
46%
Weighting
10%
Weighting
12%
SALESFORCE CERTIFIED PLATFORM DEVELOPER I
©Copyright 2018 Salesforce.com, inc. All rights reserved. 7
 Describe how to write and when to use Apex classes and interfaces.
 Describe how to use basic SOSL, SOQL, and DML statements when working
with objects in Apex.
 Describe the basic patterns used in triggers and classes to process data
efficiently.
 Describe when to use and how to write triggers.
 Describe the implications of governor limits on Apex transactions.
 Describe the relationship between Apex transactions, the save order of
execution, and the potential for recursion and/or cascading.
 Describe how to implement exception handling in Apex.
 Describe how to write Visualforce controllers.
 Describe when and how to use standard Visualforce controllers vs. Apex
custom controllers and controller extensions.
 Describe the programmatic techniques to prevent security vulnerabilities in
Apex and Visualforce.
 Describe how Apex impacts the ability to make declarative changes.
USER INTERFACE
 Describe how to display Salesforce data using a Visualforce page.
 Describe the types of web content that can be incorporated into Visualforce
pages.
 Describe how to incorporate Visualforce pages into Lightning Platform
applications.
 Describe the benefits of the Lightning Component framework.
 Describe the resources that can be contained in a Lightning Component.
TESTING
 Describe the testing framework and requirements for deployment.
 Describe how to write unit tests for triggers, controllers, and classes.
 Describe when and how to use various sources of test data.
 Describe how to execute one or multiple test classes.
 Describe the differences between invoking Apex in execute anonymous vs. unit
tests.

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Salesforce Developer information hunger

Salesforce (CRM) Expands Generative AI Tools With AI Cloud

Salesforce CRM has elevated the set of its generative artificial intelligence (AI) tools with the launch of the AI Cloud service. With this, the company claims to offer one-stop AI-powered solutions for enterprises looking to enhance productivity.

Generative AI is a type of AI technology that can produce various types of content, including text, imagery, audio and synthetic data. It is driven by a large language model, which means it uses a lot of data to understand and generate conversations.

Salesforce stated that its AI Cloud is a suite of services that delivers enterprise-ready real-time, open and secure generative experiences across all applications and workflows. The suite will power new capabilities across Salesforce’s products, including Einstein service, data analysis software Tableau and workplace-messaging app, Slack.

The inclusion of AI Cloud across CRM’s product suites will enable sales representatives to quickly auto-craft personalized emails, while marketers can auto-create personalized contents. An organization’s service team can auto-generate personalized agent chat replies and case summaries, while the commerce team can auto-create insights and recommendations. Moreover, software developers can auto-generate codes and predict potential bugs and provide suggestions to fix them.

Salesforce Inc. Price and Consensus

Salesforce Inc. price-consensus-chart | Salesforce Inc. Quote

Salesforce Dives Deeper Into Generative AI

The launch of AI Cloud demonstrates Salesforce’s strategy of incorporating generative AI tools across its products as it looks to keep its business ahead of rivals. The company forayed into the generative AI space with the launch of Einstein GPT in March 2023.

Einstein GPT is the world’s first generative AI CRM (Customer Relationship Management) technology, which delivers AI-created content across every sales, service, marketing, commerce and IT interaction at hyperscale. With Einstein GPT, the company will transform customer experience with generative AI.

With Einstein GPT, customers can connect real-time data from Salesforce Data Cloud to OpenAI’s advanced AI models or choose their own external model. Using large language prompts within Salesforce CRM, these customers will be able to generate content that adapts to changing customer information and needs in real-time.

Along with the launch of AI Cloud, the company also raised its venture capital fund for generative AI to $500 million from $250 million announced in March 2023. With this enhanced fund, Salesforce Ventures, the company’s global investment arm, will support the generative AI ecosystem and promote the development of responsible and trusted technology.

Other Companies Integrating Generative AI

Generative AI technology is finding applications in marketing, advertising, drug development, legal contracts, video gaming, customer support and digital art. This has sparked AI competition among the world’s biggest tech players, including Intuit INTU, ServiceNow NOW and Adobe ADBE.

Earlier this month, Intuit expanded its platform architecture with the introduction of a proprietary generative AI operating system — GenOS. This will enable the company to design, build and deploy breakthrough generative AI experiences for millions of customers, including small businesses. It will also help customers solve their financial challenges.

Intuit GenOS features custom-trained financial large language models (LLMs) that specialize in solving tax, accounting, marketing, cash flow and personal finance challenges. The LLMs, combined with the company’s network of domain experts and data protection controls, intend to provide actionable insights and invoke actions like contacting human experts.

ServiceNow recently launched generative AI capabilities — ServiceNow Generative AI Controller and Now Assist for Search — for the Now platform that helps deliver faster and more intelligent workflow automation.

The digital media solutions provider, Adobe, aggressively expanded its footprint in the generative AI space through partnerships and new solutions. Adobe has unveiled a family of generative AI models, Firefly, focused on the generation of texts and images. Per the company, Firefly will offer more precision, speed, power and ease in content creation. It will let users of various experience levels create high-quality images and stunning text effects.

At present, ServiceNow sports a Zacks Rank #1 (Strong Buy), while Adobe has a Zacks Rank #2 (Buy). Salesforce and Intuit each carry a Zacks Rank #3 (Hold). Shares of NOW, ADBE, CRM and INTU have rallied 40.7%, 41%, 61.1% and 14.6%, respectively, year to date. You can see the complete list of today's Zacks #1 Rank stocks here.

To read this article on Zacks.com click here.

Salesforce Management

MicroScope: Dealing with rising prices

With prices rising, many are looking at what costs to cut – yet in the channel, the opposite might prove for better business. In this issue, read about how to navigate the cost issue, learn about the growing area of security, and learn about how to create a more appealing employment experience to attract talent Continue Reading

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