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| Section | Weight | Objectives |
|---|---|---|
| Design the Interactive Flow of Your App | 20% | - Slack app workflow design
|
| Apps in the Slack Platform | 7% | - Slack app fundamentals and workspace automation
|
| Slack APIs and Development | - API usage and integration
| |
| App Deployment and Infrastructure | - Deployment considerations
|
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NEW QUESTION # 61
In a Bolt listener function, which parameter is commonly used to send a reply?
Answer: B
Explanation:
The `say()` utility is commonly injected into Bolt listener functions to send a message back into a Slack conversation. In Bolt for Python, Slack demonstrates listener functions such as `def message_hello(message, say):`, where calling `say()` sends a message to the conversation in which the triggering event occurred. The helper abstracts the underlying `chat.postMessage` operation and automatically uses relevant conversation context, although developers can also explicitly specify a channel when required. `reply()` and `send()` are not standard injected Bolt listener utilities for this purpose, while `respond_to()` is not a documented Bolt listener parameter. Slack's Bolt framework intentionally provides context-aware utilities such as `say`, `ack`,
`respond`, and `client` to simplify common interaction patterns. Therefore, option C correctly identifies the standard reply helper used by Bolt listeners.
NEW QUESTION # 62
You are the developer of a simple internal app that posts server notification messages into your workspace.
You would like to extend this app so that it can read old and new messages from public and private channels that your app is part of.
What do you need to do in order for the app to read from these channels?
Answer: C
Explanation:
conversations.history is Slack's current unified Web API method for retrieving message history from conversations. With the relevant OAuth scopes, a bot token can retrieve message history from conversations in which the bot is a member. Public-channel history requires channels:history, while private-channel history requires groups:history. Therefore, the app must be present in the applicable channels and possess the corresponding history scopes. Option C relies on legacy methods. Slack consolidated historically separate channel APIs into the Conversations API, making conversations.history the supported method for both public and private conversation history. The Events API can deliver newly occurring message events, but it does not independently provide the historical messages already stored in the conversation. Therefore, A does not meet the requirement to read both existing and subsequent message history. The Discovery API is a specialized Enterprise security and compliance capability and is inappropriate for an ordinary internal application. The source question and marked answer are therefore consistent with current Slack behavior. This maps to Design Your Workflows: Spotlight on Slack's APIs, particularly conversation membership, history scopes, and the unified Conversations API.
NEW QUESTION # 63
Can AI agent apps use the same platform primitives (Block Kit, Events API) as traditional bots?
Answer: A
Explanation:
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.
NEW QUESTION # 64
What is a primary use case for the Slack Developer Tools (SDT)?
Answer: A
Explanation:
Using SDT to streamline the process of writing and testing custom event listeners for Slack bots One of the primary use cases for Slack Developer Tools is to streamline the writing and testing of custom event listeners for Slack bots. SDT provides an environment where developers can easily test and refine how their bots respond to various events and interactions within Slack, which is essential for effective bot functionality.
Why not the other options:
*SDT is not typically used for comprehensive analytics and reporting of user interactions.
*SDT does not provide a platform for real-time collaboration and code editing among multiple developers.
*SDT is not primarily used for enhancing security protocols or encryption mechanisms in Slack apps.
NEW QUESTION # 65
You are developing a Slack app that will post notifications in channels but will not interact with users directly.
What type of token should your app request to adhere to security best practices?
Answer: A
Explanation:
Bot User OAuth Token For an app that posts notifications in channels without direct user interaction, a Bot User OAuth Token is the most appropriate. This token type allows the app to perform channel-specific actions without the broader permissions associated with a User OAuth Token, adhering to the principle of least privilege.
Why not the other options:
*A User OAuth Token provides access with the permissions of a specific user, which is not necessary for simply posting notifications.
*Workspace Access Token is not a standard token type for Slack apps.
*Classic Bot Tokens are for legacy custom integrations and are generally not recommended for new Slack apps.
NEW QUESTION # 66
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