Differences Between AI, Automation, and Analytics CAIPM Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   How do AI, automation, and analytics complement each other in a business process?

   • AAnalytics provides insights, AI uses those insights to make decisions, and automation executes the decisions
   • BAI provides insights, automation makes decisions, and analytics executes tasks
   • CAutomation provides insights, analytics makes decisions, and AI executes tasks
   • DThey are independent and do not interact in business processes
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2. 22foundation · easy

   Which of the following best defines automation in a business context?

   • AReplacing all human decision-making with intelligent systems
   • BUsing algorithms to learn from data and make predictions
   • CAnalyzing historical data to uncover trends and patterns
   • DUsing technology to perform tasks with minimal human intervention, typically based on predefined rules
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4. 23expert · medium

   A telecommunications company wants to reduce customer churn. They have a large dataset of customer interactions and account history. The data science team proposes building a machine learning model to predict churn, while the operations team wants to implement a rule-based system that flags customers with low usage. The company has limited budget and needs a solution that can be deployed quickly, but also wants to improve over time. Which approach should the company take?

   • AStart with a rule-based system for immediate deployment, and gradually introduce a machine learning model as more data and resources become available.
   • BDeploy the machine learning model immediately, even if it means delaying the launch by several months.
   • CUse analytics to identify churn patterns and then manually implement retention campaigns for each customer.
   • DImplement both the rule-based system and the machine learning model at the same time, doubling the cost.
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5. 24application · medium

   A logistics company wants to improve its delivery route planning. Currently, a team of analysts manually reviews delivery data and creates route plans, which is time-consuming and often suboptimal. The company wants a system that can automatically generate efficient routes based on traffic patterns and delivery priorities, while also providing managers with visibility into why certain routes are chosen. Which combination of technologies best achieves this?

   • AImplement a rule-based automation system that applies fixed routing rules and generates a report of the routes.
   • BDeploy an analytics platform that visualizes historical delivery data and lets analysts manually adjust routes.
   • CUse an AI-based route optimization engine that learns from traffic data and generates routes, with analytics dashboards to explain the factors influencing each route.
   • DUse a simple spreadsheet with formulas to calculate the shortest distance between points and share it with drivers.
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6. 25application · medium

   A company wants to reduce the time its employees spend on data entry. The data comes from various email formats, and the company wants to automatically extract key fields and enter them into a CRM system. The extraction must handle variations in email layout. Which technology should be used?

   • AA simple macro that copies the entire email text into the CRM without extracting specific fields.
   • BAn AI-based document extraction model that can identify and extract relevant fields from emails with varying formats.
   • CAn analytics tool that summarizes the content of emails and lets employees manually enter the data.
   • DA rule-based automation script that looks for specific keywords in fixed positions in the email.
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