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    PracticeGCP Professional Cloud ArchitectGCP Professional Cloud Architect Practice Exam 5Question 46
    Medium1 markMultiple Choice
    Subtask 1.2: Technical RequirementsBigQueryPerformanceCost Optimization

    GCP PCA · Question 46 · Technical Requirements

    Your data analytics team runs queries against a 100 TB BigQuery table containing 5 years of sales data. Most queries filter by the 'transaction_date' and group by 'store_id'. The queries are currently scanning the entire table, resulting in high costs and slow performance. Which TWO optimizations should you apply? (Select TWO)

    Answer options:

    A.

    Partition the table by 'transaction_date'

    B.

    Cluster the table by 'store_id'

    C.

    Export the data to Cloud Storage and query it using external tables

    D.

    Change the BigQuery pricing model to flat-rate

    E.

    Create a separate BigQuery dataset for each store

    How to approach this question

    Identify the two primary methods for optimizing BigQuery table structure.

    Full Answer

    Partition the table by 'transaction_date', Cluster the table by 'store_id'
    Partitioning and Clustering are the two most important performance and cost optimization techniques in BigQuery. Partitioning by date prevents the query engine from scanning data outside the requested time range. Clustering sorts that data, making aggregations (GROUP BY) much faster.

    Common mistakes

    Choosing flat-rate pricing (D) to solve a technical inefficiency.
    Question 45All questionsQuestion 47

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