CTE Data Analytics 2

Question 1

A telecom operator notices its average revenue per user (ARPU) is declining. Which analytics approach best identifies the root cause?

Accepted Answer

Segment-level cohort analysis comparing spend patterns over time

Answer

Cohort analysis isolates trends within customer segments, revealing whether ARPU decline stems from churn, plan downgrades, or mix shifts.

Question 2

In telecom network analytics, what does a high packet loss ratio combined with low latency most likely indicate?

Accepted Answer

Congestion at a specific node causing drops before queuing pressure builds

Answer

Packet loss with low latency often signals a node-level issue (e.g., hardware fault or misconfigured QoS) rather than broad network saturation.

Question 3

Which statistical technique is most appropriate for forecasting telecom subscriber growth when seasonality is present?

Accepted Answer

ARIMA with seasonal components (SARIMA)

Answer

SARIMA explicitly models both trend and seasonal patterns, making it well-suited for subscriber forecasting with cyclical demand.

Question 4

A CTE candidate reviews a dashboard showing NPS scores segmented by geographic region. What additional dimension would most improve actionability?

Accepted Answer

Customer service interaction history and resolution rates by region

Answer

Linking NPS to service interaction data reveals whether detractors are driven by specific touchpoint failures that can be operationally addressed.

Question 5

What is 'data normalization' in the context of preparing telecom usage datasets for machine learning?

Accepted Answer

Scaling numeric features to a common range so no single feature dominates model training

Answer

Normalization rescales features (e.g., call minutes and data usage in different units) so algorithms treat them with equal weight.

(CTE) Certified Telecommunications Executive Practice Test