 Salesforce Salesforce-Certified-Identity-and-Access-Management-Designer : Certified Identity and Access Management Designer (Spring 20) ExamExam Dumps Organized by Chu Hua
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Exam Number : Salesforce-Certified-Identity-and-Access-Management-Designer
Exam Name : Certified Identity and Access Management Designer (Spring 20)
Vendor Name : Salesforce
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Salesforce-Certified-Identity-and-Access-Management-Designer test
Format | Salesforce-Certified-Identity-and-Access-Management-Designer Course Contents | Salesforce-Certified-Identity-and-Access-Management-Designer Course Outline | Salesforce-Certified-Identity-and-Access-Management-Designer test
Syllabus | Salesforce-Certified-Identity-and-Access-Management-Designer test
Objectives
The Salesforce Identity and Access Management Designer test
measures a candidate�s knowledge and skills related to the following objectives.
Identity Management Concepts: 28%
Describe the role(s) an identity provider and service provider play in an access control solution.
Describe common methods for how trust connections are established between two systems and the methodologies used to describe trust between an identity provider and service provider.
Given a scenario, articulate whether it describes an authentication, authorization, or accounting scenario and what Salesforce feature should be used to accomplish the task.
Given a scenario, recommend the appropriate method for provisioning users in Salesforce and other third-party services (SOAP/REST API, SAML JIT, Identity Connect, User Provisioning for Connected Apps, etc.).
Describe the risks to enterprise security that federated Single Sign-on solutions aim to address.
Given a scenario, troubleshoot common points of failure that may be encountered in a Single Sign-on solution (SAML, OAuth, etc.).
Accepting Third-Party Identity in Salesforce: 22%
Describe the components of an identity management solution where Salesforce is accepting identity from a third party.
Given a scenario, recommend the appropriate authentication mechanism when Salesforce needs to accept Third-Party Identity (Enterprise Directory, Social, Community, etc.).
Given a scenario, recommend the appropriate method of SAML initiation to fulfill the requirements (SP-init, IdP-init.).
Describe the components of a Delegated Authentication solution.
Describe the risks of implementing delegated authentication.
Salesforce as an Identity Provider: 23%
Given a scenario, determine the most appropriate flow type to recommend when implementing an OAuth solution where Salesforce is providing identity to a third party (for example, User Agent, Web Server, JWT, etc.).
Describe the various implementation concepts of OAuth (for example; scopes, secrets, tokens, refresh tokens, token expiration, token revocation, etc.).
Describe the role(s) Connected Apps play when Salesforce needs to provide identity to a third-party system.
Given a scenario, recommend the Salesforce technologies that should be used to provide identity to the third-party system (Canvas, Connected Apps, App Launcher, etc.).
Access Management Best Practices: 15%
Describe the risks that Two-Factor Authentication mechanisms aim to mitigate.
Given a scenario, determine the most appropriate Two-Factor Authentication mechanism for an identity solution.
Given a scenario, identify the risks and mitigation strategies that session security and Two-Factor Authentication enable (for example; High Assurance Sessions, 2FA, etc.).
Salesforce Identity: 7%
Given a scenario, recommend the most appropriate Salesforce license type(s) to support the identity requirements.
Describe the role(s) Identity Connect plays in an Identity Management solution.
Community (Partner and Customer): 5%
Describe the capabilities for customizing the registration experience for external communities (for example; Branding options, self-registration, communications, etc.).
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Salesforce Designer certification
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© 2021 Bloomberg Finance LP
In September 2016, Salesforce founder and CEO Marc Benioff informed personnel, valued clientele, and traders that Salesforce could be an AI-pushed company. prior that year, Microsoft launched its Tay research chatbot venture via a Twitter Account. Microsoft shut down Tay after handiest sixteen hours because it all started to mimic the intentionally offensive behavior of different Twitter clients, and Microsoft had not given the bot an understanding of such inappropriate behavior.
With chatbots as one in all Salesforce’s most promising client provider-related technologies, Kathy Baxter, in her function at that time as major person Researcher, changed into curious about understanding what went incorrect with Tay. She additionally wanted to know how that class of AI-enabled equipment behavior could be averted at Salesforce. Baxter dove deeper into the nascent field of AI ethics, including how to teach fellow personnel about moral issues linked to AI, and ebook product engineering groups about how to design expertise in ethical methods.
In April 2018, Baxter met Richard Socher, then Salesforce’s chief scientist. both begun discussing the move-purposeful function moral AI could play with Einstein (Salesforce’s AI expertise across its sales, carrier, advertising and commerce choices). by using August 2018, she grew to be Salesforce’s architect of moral AI.
An “Architect” for ethical AI
The role of an ethical AI architect is nascent, however more and more essential in nowadays’s put up-pandemic ‘success from anywhere’ world. Many businesses are in the early levels of their AI and automation journeys, not to mention hiring somebody to internally evangelize the significance of moral AI practices. although, an organizational chief with a committed focus is required to create a sustainable practice that may scale throughout a corporation.
With an architect of ethical AI on the helm, Salesforce right away set out to set up a framework for ethical AI, which ended in the advent of its 5 relied on AI concepts. Baxter worked with leaders all over the company to put up a constitution that unique a way to turn those ideas into observe.
It’s critical to hyper-contextualize what ethical AI ability within the environment of a selected product, a selected category of prediction, or a specific utilization utility state of affairs. To handle this, Baxter and teammate Yoav Schlesinger gave employees particular context for selected work situations. Baxter commented:
“With specific contextualization, americans greater conveniently remember how ethical AI works in observe, and the function they can play in creating ethical and liable know-how from the beginning. It’s that this may still now not be an afterthought, and in its place be infused into the genesis of a product, characteristic, or group from day one.”
nowadays, Salesforce’s moral AI follow not handiest advises internal working businesses, however advises customers of all sizes with counsel about how to create moral AI practices within their personal groups. for example, the chief suggestions Officer of a large company requested for insights about a way to create and pitch the want for an moral AI group to her C-suite. They helped the CIO codify how the inability of moral AI practices would damage and influence the enterprise’s brand. They also helped aspect the type of ability units indispensable to try this type of labor, and the way to locate and interview the few people with journey in this enviornment.
“today, ethical AI ideas and practices are corresponding to the stage of realizing that industry had about cybersecurity within the 1980’s, before cybersecurity practices developed to where they are now,” pointed out Baxter.
Scaling the affect of the ethical AI Effort
The Salesforce website for AI Ethics summarizes the enterprise’s effort in this enviornment as follows: “We deliver tools to our employees, purchasers and partners for constructing and the use of AI responsibly, precisely and ethically.”
Salesforce’s ethical AI group essential a strategy to make bigger their efforts and propagate their impacts internally and across the exterior customer base, and scales its efforts through the company’s workplace of moral and Humane Use—a firm inside Salesforce that works throughout product, legislation, coverage, and ethics to strengthen and enforce a strategic framework for the moral and humane use of know-how across the business.
The method is one that other corporations can emulate. Scaling an ethical AI observe will also be finished through three mechanisms:
have interaction: Systematic outreach to all employees, including new hires.
recommend: serve as advisors to product and facts science teams on functional how to identify and address ethical concerns linked to their initiatives.
adopt: establish methods and practices to use internally to guide moral AI practices, and power their adoption throughout groups and personnel.
Baxter argues:
“everybody in an organization needs to have an moral mindset. each worker has to have a sense of ‘what is my accountability for ethical AI practices’. moral AI groups have to propagate a sense of accountability for this to everybody in the business and to their customer base.”
New appoint orientations, Baxter believes, may still encompass periods committed to the theme of ethical and humane use of technology, together with AI, automation and its practices. Salesforce even offers bite-sized training modules on in charge advent of AI (four modules) and Ethics by way of Design (three modules), accessible internally and without charge externally through the business’s Trailhead learning platform. For inside employees, further working towards modules can be found to make stronger premier practices for moral and human use of know-how, and the enterprise’s depended on AI constitution.
In extra to those internal and exterior substances, Baxter, Schlesinger, and colleagues share articles about connected issues to further contextualize the nascent box. These encompass AI in advertising, in charge chatbot design, and moral concerns for AI in Covid-related back-to-work solutions and vaccine management, amongst others
ethical and responsible expertise: An Organizational crucial
ethical AI teams need to serve as ongoing advisors to product and data science teams. These teams interact in positive speak through questions like: “How will we assess the degree of bias in the working towards facts we are using, and within the mannequin itself?” a lot of these questions are deliberately wide, which makes for difficult solutions that yield additional inquiry to assess the some ways in which an ethics-first design method could come to fruition.
Salesforce helps groups better take note the character and degree of bias linked to the datasets they are using and the models informed on these datasets. It’s elementary that ethical AI teams facilitate questions about the way to make AI fashions greater explainable, clear, or auditable.
“readability and actionability stems from organising smartly described, externally validated methods and practices for helping resolution making,” stated Baxter. “It’s important to keep a watch on the first-rate work different groups and companies are doing – it’s a small community and significant that we study and share most excellent practices.”
a way to Use “mannequin cards” for clear and moral Reporting
As a part of their company dedication to make AI fashions as clear as feasible, Salesforce employs the use of “mannequin cards'' to doc the performance traits of machine researching fashions and associated working towards statistics sets to inspire transparent mannequin reporting.
In a Salesforce blog post list all the model cards published at Salesforce, Schlesinger explains:
“mannequin playing cards are looking for to standardize documentation approaches to speak the efficiency qualities of educated laptop learning (ML) and artificial intelligence (AI) fashions. consider of them as a kind of food label, designed to provide critical information about how our fashions work — including inputs, outputs, the conditions below which models work foremost, and ethical concerns of their use.”
The starting to be observe of publishing model cards at Salesforce performed a crucial position with Einstein Discovery, a product used to convey relied on and clear predictions and suggestions to any person, from records scientists to company users. The product team even launched a mannequin card generator in the product to enable consumers to create model cards for his or her own models with the click of a button so our valued clientele can also be clear to their shoppers.
Baxter and Schlesinger aren’t alone, however they’re early examples of how businesses can construct groups of americans to force moral AI at scale inside corporations, governments, and non-income companies.
“in keeping with the variety of students that have utilized for internships on our crew the ultimate couple of years, I trust we're going to look a lot of people entering into this box. As AI law and customer demand for responsible expertise grows, we will see many greater businesses building teams like ours,” referred to Baxter.
to fulfill the demand, companies will should appear internally and externally, and dangle themselves to better specifications to be certain the development of responsible know-how. The costs of creating, selling and imposing expertise with no holistic understanding of close- and lengthy-time period implications are a long way too extremely good to ignore.
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