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Google PCA Practice Question: Analysing and Optimising Technical and Business Processes

An engineer is designing a Bigtable schema for time-series data consisting of sensor readings. Each sensor emits a reading every second. The access pattern is to retrieve all readings for a specific sensor within a time range. Which row key design will provide the best performance?

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

Use row key: [sensor_id]#[reverse_timestamp]

Bigtable stores rows sorted by key. A row key structured as [sensor_id]#[reverse_timestamp] ensures that all data for a sensor is contiguous, and sorting by reverse timestamp allows recent data to be retrieved first. A single row key per sensor with column qualifiers would cause hotspots and limit scalability.

Answer analysis

Option-by-option breakdown

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

  • Use row key: [sensor_id]#[reverse_timestamp]

    Why this is correct

    This ensures all readings for a sensor are close together and sorted by timestamp, optimizing range scans.

  • Use a single row per sensor with column qualifiers as timestamps

    Why it's wrong here

    This would create a wide row that can exceed limits and cause hotspots on the sensor node.

  • Use timestamp as the row key and sensor ID as column qualifier

    Why it's wrong here

    This would spread each sensor's data across many tablets, hurting scan performance.

  • Use a random prefix to distribute writes evenly

    Why it's wrong here

    Random prefix distributes writes but scatters sensor data across tablets, making range reads inefficient.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PCA practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCA exam.