$1.$ What is the main responsibility of a data scientist

$$ Collecting and cleaning data

$$ Building and deploying machine learning models

$$ Managing and maintaining databases

$$ All of the above

$2.$ What is the main responsibility of a data steward?

$$ Collecting and cleaning data

$$ Building and deploying machine learning models

$$ Managing and maintaining databases

$$ Ensuring the accuracy, completeness, and compliance of data

$3.$ What is the main responsibility of a data analyst?

$$ Collecting and cleaning data

$$ Building and deploying machine learning models

$$ Managing and maintaining databases

$$ Analyzing and interpreting data to inform business decisions

$4.$ What is the main responsibility of a machine learning engineer?

$$ Collecting and cleaning data

$$ Building and deploying machine learning models

$$ Managing and maintaining databases

$$ Analyzing and interpreting data to inform business decisions

$5.$ Who is responsible for understanding the business requirements, defining the project scope, and communicating with the stakeholders in an AI project?

$$ Data scientist

$$ Data engineer

$$ Data steward

$$ Business analyst

$6.$ Who is responsible for ensuring that data is used ethically and legally in an AI project?

$$ Data scientist

$$ Data engineer

$$ Data Gouvernance

$$ Business analyst

$7.$ What is the first step in the AI enterprise workflow methodology?

$$ Business Understanding

$$ Data Understanding

$$ Data Preparation

$$ Modeling

$8.$ What is the main goal of the "Data understanding $"$ phase in AI enterprise workflow methodology?

$$ To understand the problem from the perspective of the user

$$ To assess the quality and relevance of the data

$$ To test the feasibility of the solution

$$ To implement the solution

$9.$ In what stage of the AI enterprise workflow methodology would you select and apply the appropriate modeling techniques?

$$ Business Understanding

$$ Data Understanding

$$ Data Preparation

$$ Modeling

$10.$ How do you ensure that your data science solution is meeting the needs of the stakeholders in the AI enterprise workflow methodology?

$$ By conducting user research

$$ By relying on data analysis

$$ By consulting with stakeholders

$$ All of the above

$11.$ How do you evaluate the performance of the model during the "Evaluation" phase in the AI enterprise workflow methodology?

$$ By comparing it to other models

$$ By evaluating its accuracy and precision

$$ By assessing its ability to meet the business objectives

$$ By assessing the trustworthiness of the model

$$ All of the above