A fintech startup has deployed a fraud detection model behind a REST API. The API currently accepts JSON input and returns a single fraud probability. The mobile app team needs to send multiple transactions in one request to reduce network overhead. What is the most appropriate change to the API?

Change the API to accept a CSV file upload

Create a separate batch endpoint that runs nightly

Keep the API as-is and have the mobile app make multiple parallel requests

Modify the API to accept an array of transactions and return an array of predictions

A multinational company is deploying a model that processes personal data of EU citizens. The model will be hosted in a public cloud. To comply with GDPR, what is the most important consideration?

Encrypt all data in transit and at rest

Obtain explicit consent from every data subject

Use a private cloud to ensure full control over data

Ensure the cloud region is located within the EU

Which of the following is a security measure to protect a deployed model's API endpoint?

Requiring authentication tokens for access

Disabling logging to hide sensitive data

Storing the model in a public repository

Increasing the model's learning rate

A team deploys a new version of a credit scoring model. After a few hours, they notice that the approval rate has dropped significantly compared to the previous version. What is the most appropriate immediate action?

Retrain the model with more data and redeploy

Ignore the drop and continue monitoring

Adjust the approval threshold in the new model

Roll back to the previous model version

A healthcare company is deploying a model that predicts patient readmission risk. The model API will be accessed by hospital staff via a web application. Which security measure is most important to implement?

Use a VPN for all network traffic

Log all prediction requests without any access control

Require authentication and authorization for API access

Certified Artificial Intelligence Practitioner (CAIP)

Domain 4Objective 1

Objective 4.1 Deploy a Model AIP-210 Practice Questions (Page 3)

Part of the 4.0 Operationalizing ML Models domain, which accounts for 30% of the AIP-210 exam.

39questions here

8free pages

10concepts

30%of the exam

Questions 11–15

11application · medium
A fintech startup has deployed a fraud detection model behind a REST API. The API currently accepts JSON input and returns a single fraud probability. The mobile app team needs to send multiple transactions in one request to reduce network overhead. What is the most appropriate change to the API?
Select an answer first
12expert · hard
A multinational company is deploying a model that processes personal data of EU citizens. The model will be hosted in a public cloud. To comply with GDPR, what is the most important consideration?
Select an answer first
13foundation · easy
Which of the following is a security measure to protect a deployed model's API endpoint?
Select an answer first
14application · medium
A team deploys a new version of a credit scoring model. After a few hours, they notice that the approval rate has dropped significantly compared to the previous version. What is the most appropriate immediate action?
Select an answer first
15application · medium
A healthcare company is deploying a model that predicts patient readmission risk. The model API will be accessed by hospital staff via a web application. Which security measure is most important to implement?
Select an answer first

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