AI Associate Practice Test 14 — 15 Questions

Question 1

Which TWO of the following are limitations of Einstein GPT? (Choose two.)

Accepted Answer

It requires structured prompts for best results. Einstein GPT relies on structured prompts to guide the generative AI model toward relevant and accurate outputs. Without clear, well-formed prompts, the model may produce vague or off-target responses, making prompt engineering a critical skill for users.

Answer

It can automatically generate account summaries from leads

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It supports all languages equally

Answer

It requires no training data

Question 2

A marketing manager wants to use Einstein to personalize email content for each customer. However, they are concerned about violating CCPA if they use certain data. Which data use would be MOST likely to raise a CCPA concern?

Accepted Answer

Customer location data from mobile devices. CCPA gives consumers the right to know what personal information is collected and used. Using purchase history and browsing behavior are typical for personalization, but using location data without explicit consent may be problematic.

Answer

Customer purchase history from the past year

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Customer email address

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Customer browsing behavior on the company website

Question 3

Under the Salesforce Data Processing Addendum (DPA), what is Salesforce's commitment regarding customer data used in AI services?

Accepted Answer

Customer data is not used to train or improve Salesforce's base AI models. Salesforce's DPA states that customer data will not be used to train or improve Salesforce's base AI models, ensuring customer data privacy.

Answer

Customer data may be used to improve Salesforce's AI models unless the customer opts out

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Customer data is anonymized and then used to train public AI models

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Customer data is only used to train models for that specific customer

Question 4

A company wants to use Einstein Sentiment Analysis to classify customer feedback. What is the FIRST step they should take to ensure ethical use of customer data?

Accepted Answer

Obtain proper consent from customers for using their data in AI. Ethical AI begins with data governance. Obtaining proper consent from customers to use their feedback for AI analysis is a fundamental requirement under privacy regulations like GDPR and CCPA. It also aligns with the Trusted AI principle of Empathy, respecting customer autonomy.

Answer

Set up an audit trail for all AI actions

Answer

Choose a pre-trained model to avoid using customer data

Answer

Anonymize all customer feedback before analysis

Question 5

A financial services company is deploying Einstein Prediction Builder to predict loan default risk. They are concerned about using sensitive attributes like race or gender in the model. Which data governance practice should they apply?

Accepted Answer

Exclude sensitive attributes from the model features unless they are essential and legally permitted, and ensure no proxies exist.. Data minimisation is a core principle: only use relevant features for the prediction. Sensitive attributes that could lead to discriminatory decisions should be excluded unless legally required and properly managed.

Answer

Use synthetic data to replace sensitive attributes with random values.

Answer

Include all available attributes to maximize model accuracy, then apply fairness constraints.

Answer

Mask the sensitive attributes but still include them in the model training.

Question 6

A company is deploying an AI model to automatically approve or reject small loan applications. To comply with the right to explanation under GDPR, what capability must the system provide?

Accepted Answer

The ability for the applicant to chat with a human agent and receive the specific reasons for the decision.. The right to explanation requires that individuals can obtain meaningful information about the logic of automated decisions, including the factors that led to the outcome.

Answer

A downloadable PDF report of the model's accuracy metrics.

Answer

A live video feed of the data center where the model runs.

Answer

A promise that the model was certified by an external auditor.

Question 7

A service manager wants AI to automatically generate a summary of a phone call recording and capture follow-up tasks. Which Einstein feature should they use?

Accepted Answer

Einstein Conversation Insights. Einstein Conversation Insights analyzes call recordings, provides summaries, and captures next steps.

Answer

Einstein Email Insights

Answer

Service GPT

Answer

Einstein Activity Capture

Question 8

What is the primary purpose of the Einstein Trust Layer's zero data retention setting?

Accepted Answer

To ensure that customer data is not used to train or improve Salesforce's base AI models.. Zero data retention ensures that customer data used in prompts or predictions is not stored by Salesforce to train or improve base models, protecting privacy.

Answer

To comply with Salesforce's internal data management policies only.

Answer

To improve model accuracy by preventing old data from influencing predictions.

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To reduce storage costs for the customer.

Question 9

A data governance officer wants to ensure that customer data used in Einstein Prediction Builder is not retained by Salesforce after the prediction is made. Which Einstein Trust Layer capability guarantees this?

Accepted Answer

Zero data retention. Zero data retention is the specific commitment that customer data used for predictions is not stored or used for training base models. This is a key component of the Einstein Trust Layer.

Answer

Grounding

Answer

Audit trail

Answer

PII masking

Question 10

A data scientist is building a custom AI model using Salesforce Data Cloud. They want to follow best practices for data minimisation and consent management. Which THREE steps should they take?

Accepted Answer

Obtain consent from customers before using their data in the model. Using only relevant fields reduces unnecessary data collection, obtaining consent ensures compliance with privacy laws, and documenting data sources supports transparency and auditability.

Answer

Include all available fields in the model to maximize accuracy

Answer

Use synthetic data instead of real customer data

Question 11

A financial services firm uses Einstein Discovery to predict loan default risk. To comply with data minimisation principles and avoid using sensitive PII unnecessarily, which TWO actions should the data science team take?

Accepted Answer

Remove demographic fields such as race and gender from the training dataset. Data minimisation means using only relevant fields. Removing unnecessary PII features and performing feature selection reduces risk. Auditing for bias and enabling toxicity detection are good practices but not directly about minimisation.

Answer

Include all available fields to maximize model accuracy

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Use feature engineering to derive synthetic attributes that correlate with protected attributes

Answer

Enable Einstein Trust Layer's toxicity detection on the model inputs

Question 12

A company uses Einstein Prediction Builder to forecast customer churn. The data science team discovers that the model is heavily influenced by a field containing the customer's income, which the company legally cannot use for automated decisions in certain jurisdictions. Which TWO steps should the team take to address this ethical and compliance issue?

Accepted Answer

Re-evaluate feature importance to ensure no other fields act as proxies for income. Removing the prohibited field and re-evaluating feature importance aligns with data minimisation and fairness. Auditing for bias is good but not sufficient if the field is still used. Retraining without removal does not address the legal issue.

Answer

Audit the model for bias against different income groups

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Ignore the issue because the model is used internally

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Retain the income field but add a note that it may not be used in certain regions

Question 13

A company wants to use Einstein to automatically log emails and events from their email system into Salesforce without manual user action. Which feature should be enabled?

Accepted Answer

Einstein Activity Capture. Einstein Activity Capture automatically logs emails and events to Salesforce based on sync settings.

Answer

Einstein Email Insights

Answer

Einstein Conversation Insights

Answer

Einstein Discovery

Question 14

A service manager wants to auto-classify incoming cases into Type, Priority, and Reason fields to streamline routing. Which Einstein feature should they use?

Accepted Answer

Einstein Case Classification. Einstein Case Classification is the correct feature because it uses machine learning to automatically predict and populate the Type, Priority, and Reason fields for incoming cases based on historical case data. This directly addresses the service manager's need to auto-classify cases for streamlined routing, without requiring manual rules or human intervention.

Answer

Einstein Next Best Action

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Einstein Article Recommendations

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Einstein Email Insights

Question 15

Which Salesforce AI feature provides audit logging of when AI recommendations are generated and acted upon?

Accepted Answer

Einstein Trust Layer audit trail. The Einstein Trust Layer includes an audit trail that logs when AI recommendations are generated and when users act on them. This audit trail is essential for compliance and governance, as it records the AI's decision-making process and user interactions, ensuring transparency and accountability in AI-driven recommendations.

Answer

Einstein Discovery

Answer

Einstein Copilot

Answer

Einstein Prediction Builder