01. An analyst is using three years of monthly sales data to identify a trend for next year's forecast. One month in the second year includes a single bulk order from a government contract that is not expected to recur.
How should the analyst treat that month?
a) Remove the whole second year, including the month of the bulk order
b) Keep the month unchanged, because the bulk order is real data recording a sale that actually happened
c) Adjust for the one-time order, document the adjustment, then estimate the trend and seasonality
d) Use only the most recent three months, because they reflect current prices, products and conditions best
02. Six months after integrating its CRM system with customer service, a company wants evidence that the integration is helping customers.
Which two measures provide that evidence?
(Choose two.)
a) The rate of issues resolved on the first contact, compared with the rate before integration
b) The number of new leads created by marketing campaigns in the same six-month period
c) The total number of customer records held in the CRM system since the integration went live
d) Customer satisfaction scores after service contacts, compared with scores before integration
03. After a CRM system and a customer service platform are connected, many customers appear twice. The service platform identified customers by phone number, and the CRM system identified them by account number.
What is the best way to resolve the duplicates?
a) Use phone number as the key in both systems, since every service record already carries one
b) Choose one master customer identifier, then match and merge existing records to it
c) Delete the service records that lack an account number, since the CRM system is the master source
d) Sync only new records from now on, and clean up the existing duplicates later if they cause problems
04. Which statement best distinguishes the purpose of a CRM system from the purpose of an ERP system?
a) CRM records completed sales for the accounts team, while ERP tracks open sales opportunities for the sales team
b) CRM serves the marketing department alone, while ERP serves every other department in the organization
c) CRM stores records about customers, while ERP stores records about suppliers and the goods bought from them
d) CRM manages relationships with customers and prospects, while ERP integrates internal processes
05. A retail bank is choosing CRM components. It needs to track each mortgage application's stage, owner and expected completion date, and it needs to log, assign and follow up customer complaints.
Which two CRM components meet these needs?
(Choose two.)
a) Reporting and analytics, for summarizing complaint volumes across branches
b) Sales force automation, for managing the pipeline of mortgage applications
c) Service case management, for logging and routing customer complaints
d) Marketing automation, for running campaigns that generate new mortgage leads
06. Each month, an analyst exports sales data to a spreadsheet, builds the tables and charts there, and then retypes the figures into a word-processor report. Errors keep appearing in the report.
What is the best way to prevent them?
a) Link the report's tables and charts to the spreadsheet so they update from the source
b) Add a checklist so that the analyst rechecks every retyped figure against the spreadsheet before sending
c) Paste screenshots of the spreadsheet's finished tables and charts into the report instead
d) Send managers the spreadsheet itself and stop producing the written report
07. A magazine publisher is deciding whether to stop its print edition. Subscription transactions show print subscriptions declining by 8% a year, web analytics show digital readership rising, and a survey of print subscribers shows strong attachment to print among the highest-paying segment.
How should the analyst use these sources to support the decision?
a) Score the subscription, web and survey sources equally, and follow the outcome most of them favor
b) Recommend stopping print, since rising digital readership shows readers are already moving online
c) Model the revenue effect by segment, combining subscription value, digital adoption and survey preferences
d) Recommend keeping print, since the survey shows the highest-paying subscribers are attached to it
08. The CRM system reports 1,200 active customers, while the billing system reports 1,050 paying customers. A director needs one figure to set next year's support staffing.
What should the analyst do before giving a figure?
a) Use the CRM figure, since it is the larger number and so avoids understaffing the team
b) Use the billing figure, since financial data is audited and more likely to be accurate
c) Average the two figures, since the true number of customers probably lies between them
d) Find out how each system defines its figure, then pick the one that fits staffing
09. A retailer reconciles its daily transaction totals with the payment settlement totals from its payment provider, and the settled payments are consistently lower than the recorded sales.
Which two explanations should the analyst investigate first?
(Choose two.)
a) Refunds and chargebacks are deducted in the payment data but never reversed in the transaction data
b) Sales are recorded as transactions for orders whose payment was later declined or never captured
c) Seasonal demand has fallen, so fewer customers are buying than in earlier months
d) Stock is lost to theft and damage, so inventory counts are lower than the system expects
10. An analyst receives messy CSV exports with inconsistent spellings and date formats. The analyst must test whether average order value differs between two regions and then publish an interactive chart of the result on the company's public open-data page.
Which sequence of tools fits these tasks?
a) OpenRefine to clean the data, R to run the test, then Tableau Public to publish the chart
b) OpenRefine to clean the data, Tableau Public to run the test, then R to publish the chart
c) R to clean the data, Tableau Public to run the test, then OpenRefine to publish the chart
d) Tableau Public to clean the data, OpenRefine to run the test, then R to publish the chart