AI-ASSOCIATE practice questions 61–70

1. Question 61 · 78 in bank

   Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM. What should the company do first to prepare its data for use with AI?

   • ADetermine data availability.
   • BDetermine data outcomes.
   • CRemove biased data.

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   Answer: A

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2. Question 62 · 78 in bank

   Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history. Which type of bias is most likely to be encountered in this scenario?

   • ASurvivorship
   • BSocietal
   • CConfirmation

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   Answer: C

   Explanation

   Confirmation bias labels data based on preconceived ideas. The recommendations you see when you shop online reflect your purchasing habits, but the data influencing those purchases already reflect what people see and choose to buy in the first place. You can see how recommendation systems reinforce stereotypes. If superheroes don’t appear on a website’s ‘toys for girls” section, a shopper is unlikely to know they’re elsewhere on the site, much less purchase them.

   Source: Adapted from community discussion — csew

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3. Question 63 · 78 in bank

   What is a key characteristic of machine learning in the context of AI capabilities?

   • AUses algorithms to learn from data and make decisions
   • BRelies on preprogrammed rules to make decisions
   • CCan perfectly mimic human intelligence and decision-making

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   Answer: A

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4. Question 64 · 78 in bank

   How is natural language processing (NLP) used in the context of AI capabilities?

   • ATo understand and generate human language
   • BTo interpret and understand programming language
   • CTo cleanse and prepare data for AI implementations

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   Answer: A

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5. Question 65 · 78 in bank

   What are the three commonly used examples of AI in CRM?

   • APredictive scoring, forecasting, recommendations
   • BEinstein Bots, face recognition, recommendations
   • CPredictive scoring, reporting, image classification

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   Answer: A

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6. Question 66 · 78 in bank

   Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity?

   • ARely on a development team with uniform backgrounds to assess the potential societal implications of the model.
   • BTest with diverse and representative datasets appropriate for how the model will be used.
   • CTest only with data from a specific region or demographic to limit the risk of data leaks.

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   Answer: B

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7. Question 67 · 78 in bank

   A business analyst (BA) wants to improve business by enhancing their sales processes and customer support. Which AI applications should the BA use to meet their needs?

   • ASales data cleansing and customer support data governance
   • BMachine learning models and chatbot predictions
   • CLead scoring, opportunity forecasting, and case classification

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   Answer: C

   References

   • trailhead.salesforce.com documentation
   • trailhead.salesforce.com documentation

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8. Question 68 · 78 in bank

   Cloud Kicks relies on data analysis to optimize its product recommendations; however, CK encounters a recurring issue of incomplete customer records, with missing contact information and incomplete purchase histories. How will this incomplete data quality impact the company's operations?

   • AThe diversity of product recommendations is improved.
   • BThe response time for product recommendations is stalled.
   • CThe accuracy of product recommendations is hindered.

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   Answer: C

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9. Question 69 · 78 in bank

   Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern. How can data quality be assessed quickly?

   • ABuild a Data Management Strategy.
   • BRun reports to explore the data quality.
   • CLeverage data quality apps from AppExchange.

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   Answer: B

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10. Question 70 · 78 in bank

    Which type of AI can enhance customer service agents' email responses by analyzing the written content of previous emails?

    • ADeep learning
    • BNatural language processing
    • CMachine learning

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    Answer: B

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AI-ASSOCIATE practice, question 61. 78 questions available.