Practice Test Geeks(CTE) Certified Telecommunications Executive Practice Test
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Data Analytics Flashcards

7 cards from real CTE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Data Analytics flashcards as text

  1. Which visualization type is most effective for showing the distribution of call duration across millions of CDRs (Call Detail Records)?

    Answer: Histogram with logarithmic y-axis

    A histogram reveals the full shape of the distribution (skew, outliers, modes) across large datasets, which is critical for CDR analysis.

  2. A telecom executive wants to reduce customer churn. Which predictive modeling output is most operationally useful?

    Answer: A ranked propensity-to-churn score per customer with associated confidence intervals

    Individual propensity scores allow retention teams to prioritize outreach to the highest-risk customers before they churn.

  3. What does a Lorenz curve reveal when applied to telecom revenue data?

    Answer: The degree of revenue concentration among the top percentage of customers

    The Lorenz curve illustrates how much of total revenue is attributable to what share of the customer base, revealing revenue concentration (Gini coefficient).

  4. When building a telecom customer lifetime value (CLV) model, which input variable is typically the strongest predictor?

    Answer: Historical payment behavior and plan tenure

    Consistent payment history and long tenure directly indicate future revenue reliability and the customer's value horizon.

  5. A/B testing in telecom marketing requires which of the following to ensure valid results?

    Answer: Random assignment of customers to control and treatment groups with sufficient sample size

    Random assignment eliminates selection bias, and adequate sample size ensures the test has sufficient statistical power to detect real differences.

  6. In network analytics, what is 'mean time to detect' (MTTD) a measure of?

    Answer: The average time elapsed from a fault occurring to it being identified by monitoring systems

    MTTD quantifies monitoring effectiveness; a lower MTTD means faults are caught faster, reducing the window for customer impact.

  7. Which data governance practice is most critical when combining telecom subscriber data with third-party demographic datasets for analytics?

    Answer: Ensuring data lineage is documented and consent frameworks are verified before joining datasets

    Documented lineage and verified consent protect against regulatory violations (e.g., CCPA, GDPR) when enriching subscriber data with external sources.