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Describe Dynamics 365 Customer InsightshardMultiple ChoiceObjective-mapped

MB-910 Describe Dynamics 365 Customer Insights Practice Question

Exhibit

Refer to the exhibit.

{
  "measures": [
    {
      "name": "Customer Lifetime Value",
      "aggregation": "sum",
      "field": "transaction_amount",
      "filters": [
        {"field": "transaction_date", "operator": ">=", "value": "2025-01-01"}
      ]
    }
  ]
}

Refer to the exhibit. A Customer Insights analyst defines a measure for Customer Lifetime Value. What is the result of this measure definition?

⚠ Common exam trap

Many candidates confuse the Sum aggregation with Count or Average, especially when the measure is named 'Customer Lifetime Value,' which often implies a cumulative total, but the filter date can mislead test-takers into thinking it's a count or average.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

The total transaction amount since 2025

The measure definition is configured to sum the Transaction Amount field, which calculates the total monetary value of all transactions. The filter restricts the calculation to transactions occurring on or after January 1, 2025, so the result is the total transaction amount since 2025. This aligns with the standard Customer Insights measure behavior where aggregation functions like Sum are applied to numeric attributes.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The total transaction amount since 2025

    Why this is correct

    The sum of transaction_amount filtered for dates >= 2025-01-01.

  • The maximum transaction amount

    Why it's wrong here

    Aggregation is sum, not max.

  • The count of transactions after 2025

    Why it's wrong here

    The aggregation is sum, not count.

  • The average transaction amount

    Why it's wrong here

    Aggregation is sum, not average.

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