A startup is building an AI-powered chatbot for customer support. They have a small team, a tight budget, and need to launch within three months. The chatbot must integrate with their existing CRM and handle a moderate volume of conversations. Which tool selection decision is most aligned with these requirements?

Select a platform that offers the most advanced AI features, even if it requires extensive customization.

Use a free open-source chatbot framework and plan to handle CRM integration manually through custom code.

Build a custom chatbot from scratch using an open-source NLP library to have full control and avoid recurring costs.

Choose a commercial chatbot platform with pre-built CRM integrations and a pay-as-you-go pricing model.

A marketing agency wants to build a customer churn prediction model. The team has no ML engineers and a tight deadline. They have access to a cloud platform with AutoML capabilities and a small labeled dataset. Which tool selection strategy is most appropriate?

Use an open-source library and train the model on a local laptop.

Outsource the entire project to an external consultancy.

Use a cloud AutoML service to train the model and deploy it via a managed endpoint.

Build a custom model using a deep learning framework from scratch.

A large enterprise is selecting a tool for a computer vision project. The team is split: one group prefers an open-source framework with a large community, while another group prefers a commercial platform with vendor support. The project has a strict deadline and the team has mixed experience levels. Which decision-making approach is most effective?

Choose the open-source framework because it is free and has a large community.

Run a structured evaluation comparing both tools against the project's requirements, including team skills, deadline, and support needs.

Choose the commercial platform because it offers vendor support and a shorter learning curve.

Let each team member use their preferred tool and merge the results later.

A team is selecting a tool for a project that requires heavy GPU-accelerated model training, but the team has limited coding experience and prefers a visual interface. Which type of tool would best meet these requirements?

A command-line deep learning framework

A low-code machine learning platform with GPU support

During the requirements analysis phase of an AI project, a team identifies that the solution must process customer data in real time, integrate with an existing CRM, and reduce response time by 20%. Which requirement categories do these three items respectively represent?

Business, functional, and technical

Technical, functional, and business

Functional, technical, and business

Technical, business, and functional

EC-CouncilArtificial Intelligence Essentials

Domain 3Objective 6

Tool Selection Based on AI Project Requirements AIE Practice Questions (Page 4)

Part of the Building Blocks of AI domain, which makes up ~25% of our current practice bank.

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Questions 16–20

16application · medium
A startup is building an AI-powered chatbot for customer support. They have a small team, a tight budget, and need to launch within three months. The chatbot must integrate with their existing CRM and handle a moderate volume of conversations. Which tool selection decision is most aligned with these requirements?
Select an answer first
17application · medium
A marketing agency wants to build a customer churn prediction model. The team has no ML engineers and a tight deadline. They have access to a cloud platform with AutoML capabilities and a small labeled dataset. Which tool selection strategy is most appropriate?
Select an answer first
18expert · hard
A large enterprise is selecting a tool for a computer vision project. The team is split: one group prefers an open-source framework with a large community, while another group prefers a commercial platform with vendor support. The project has a strict deadline and the team has mixed experience levels. Which decision-making approach is most effective?
Select an answer first
19foundation · easy
A team is selecting a tool for a project that requires heavy GPU-accelerated model training, but the team has limited coding experience and prefers a visual interface. Which type of tool would best meet these requirements?
Select an answer first
20foundation · easy
During the requirements analysis phase of an AI project, a team identifies that the solution must process customer data in real time, integrate with an existing CRM, and reduce response time by 20%. Which requirement categories do these three items respectively represent?
Select an answer first

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Tool Selection Based on AI Project Requirements AIE Practice Questions (Page 4)

Questions 16–20

A marketing agency wants to build a customer churn prediction model. The team has no ML engineers and a tight deadline. They have access to a cloud platform with AutoML capabilities and a small labeled dataset. Which tool selection strategy is most appropriate?

A team is selecting a tool for a project that requires heavy GPU-accelerated model training, but the team has limited coding experience and prefers a visual interface. Which type of tool would best meet these requirements?

During the requirements analysis phase of an AI project, a team identifies that the solution must process customer data in real time, integrate with an existing CRM, and reduce response time by 20%. Which requirement categories do these three items respectively represent?

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