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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Copado Functions | 30% | - Development & Deployment
|
| Topic 2: Copado Extensions | 20% | - Lifecycle & Customization
|
| Topic 3: Copado Platform Fundamentals | 50% | - Platform Architecture & Core Components
|
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NEW QUESTION # 68
When you click create extension button, Copado generates a JSON file with the selected records that you can include in your package afterward.
Answer: B
Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From Copado Extension builder topics:
The statement is true. When using the Copado Extensions tool, selecting the Create Extension button generates a JSON file containing the selected supported records. This JSON file is important because Copado Function and Job Template records are data records, and data records cannot be packaged directly like standard Salesforce metadata. The generated JSON becomes the transportable representation of those records.
It can then be included in the package structure, commonly through a static resource and related custom metadata configuration. After the extension is installed in another Copado org, the packaged data can be used to generate the corresponding Function or Job Template records. This process allows Copado automation assets to be reused and distributed through managed or unlocked packages.
NEW QUESTION # 69
Why do you need to create Custom Metadata Types?
Answer: B
Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From Copado Extension builder topics:
Custom Metadata Types are needed in the Copado Extension creation process to create the configuration record that links the extension package to its static resource. Option B is correct, although the option appears to contain a wording issue and should be understood as creating the required static resource-related configuration. In Copado Extensions, selected Function or Job Template records are generated into a JSON file and stored in a static resource. A custom metadata record then points to that static resource so Copado knows which packaged extension data should be processed after installation. Option A describes the JSON generation step, but that is performed by the Copado Extensions tool rather than the reason for creating Custom Metadata Types. Options C and D are not the correct purpose.
NEW QUESTION # 70
Which of the following Function Image enables you to deploy to Heroku?
Answer: D
Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From Copado Extension builder topics:
The DPL Function Image enables deployment to Heroku. In Copado Functions, a Function Image is the containerized runtime environment that contains the tools, libraries, and applications needed to execute a function. Different Function Images support different automation scenarios. DPL is used for deployment tasks, including Heroku deployment, so option A is correct. Core is a general-purpose image, Git Utils is used for Git-related operations, and Metadata Image is used for metadata-related tasks. Since the question specifically asks about deploying to Heroku, DPL is the correct image. This is important in multi-cloud DevOps because Copado Functions allow Salesforce release processes to coordinate automation beyond Salesforce, including platforms such as Heroku and other cloud systems.
NEW QUESTION # 71
Identify the correct statement regarding Job Engine from the given options.(Select all that apply)
Answer: A,C
Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From Copado Extension builder topics:
Copado Job Engine is used to run reusable automation through Job Templates and Job Steps. A key capability is that failed executions can be restarted, either by running the whole execution again or by executing only outstanding or failed steps, depending on the execution scenario. This makes option A correct because it reflects recovery behavior during failed automation. Option B is also correct because Job Engine works with Functions and Salesforce Flows, and Dynamic Expressions allow those steps to access contextual values during execution. Option C is inaccurate because the usual execution unit is a Job Template, not "executing a Job Engine." Option D is incorrect because Job Engine is not simply a dashboard or recalculation feature.
NEW QUESTION # 72
Which programming languages are supported by Copado Functions?You have reached the max number of allowed answers
Answer: A,B,C
Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From Copado Extension builder topics:
Copado Functions support Bash, JavaScript using Node, and Python. These languages are commonly used for DevOps automation because they are flexible, widely adopted, and suitable for scripting integrations, validations, and deployment tasks. Bash is useful for command-line automation and shell scripts. JavaScript with Node is useful for API-driven automation and modern cloud tooling. Python is commonly used for scripting, data processing, testing, and integration scenarios. Java is not listed as a supported Copado Functions programming language in this question. In Extension Builder, this distinction matters because the function script must match the supported runtime and selected Function Image. Choosing the correct language ensures that the function can execute successfully in Copado-managed infrastructure.
NEW QUESTION # 73
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