Salesforce Updated Slack-Dev-201 Exam Questions and Answers by walter

The official Slack Developer documentation provides a dedicated Agent quickstart specifically for developers beginning an AI-powered Slack agent project. The quickstart covers the essential starting workflow: installing Slack CLI, logging into a development workspace, creating the support-agent sample project, selecting an AI agent framework, configuring required credentials, and running the application locally with `slack run`. Slack's general application quickstart also directs developers who want to explore agent development to the Agent quickstart as the next starting point. The pricing, legal, and Marketplace pages do not provide the implementation sequence needed to build an agent. Accordingly, the developer documentation path identified in option A is the appropriate first technical resource. The PDF's supplied answer is therefore verified as correct against Slack's current documentation.

Public channels are the only conversation type among these choices for which Slack provides an explicit permission enabling an app to post without first becoming a member. The relevant permission is the chat:write.public scope, used together with chat:write. Slack describes chat:write.public as permitting a Slack app to send messages to public channels in which the application is not a member. Without that additional scope, an app normally must join the public channel or be invited before posting. Private channels require appropriate membership and authorization because allowing an app to post into a private conversation without membership would violate Slack's privacy model. Likewise, ordinary direct messages and multi-person direct messages have different membership and conversation-opening semantics and are not equivalent to posting freely into a public channel. The wording “by default” in the source is somewhat imprecise because granular-permission Slack apps do not automatically receive access to all public channels. They must request chat:write.public. Nevertheless, among the four conversation types, D represents the intended and technically supported capability. This question aligns with Design Your Workflows: Spotlight on Slack's APIs, particularly chat.postMessage, conversation membership, and OAuth scope behavior.

A is the current technically correct answer, replacing the uploaded bank's marked C. Slack's current token taxonomy does not define an “Admin” token type. Slack officially distinguishes token types such as bot tokens, user tokens, workflow tokens, and configuration tokens. Administrative authority is expressed through admin.* OAuth scopes attached to a user token, rather than through a separate token type called “Admin.” For example, Slack's official documentation for admin.conversations:read, admin.apps:read, and related Admin API scopes explicitly lists the supported token type as User. To obtain a user token imbued with Admin API scopes, the application must be installed at the entire Enterprise organization level by an authorized Org Admin or Org Owner. The resulting user access token can then call the applicable admin.* methods. Creating, inviting members to, and archiving channels require the appropriate administrative conversation scopes, particularly admin.conversations:*, subject to the installer having the corresponding Channel Management permissions. Therefore, under current Slack documentation, User is the correct token type. “Admin token” is outdated/imprecise terminology because admin describes the permission scope, not a distinct token class. This maps directly to APIs for Managing Your Slack.

Slack AI agents are built on the core Slack application platform rather than an entirely isolated development system. Slack's agent documentation describes Slack as particularly suitable for agent experiences because it already provides a conversational environment, Block Kit interaction model, multiple application surfaces, identity, permissions, and contextual information. The official Agent quickstart demonstrates an agent using familiar Slack application mechanisms such as Bolt, App Home, modals, direct messages, app mentions, reactions, and threaded messaging. Developers can therefore combine AI reasoning and external model frameworks with established Slack primitives for events, messages, interfaces, authentication, and Web API actions. Agent functionality may introduce specialized capabilities and scopes, but it does not replace the underlying Slack platform. Agents can also post and stream responses. Consequently, B is the technically correct answer.