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Ingesting and Processing the DatamediumMultiple ChoiceObjective-mapped

PDE Ingesting and Processing the Data Practice Question

A company uses Google Ads and wants to automatically load their advertising data into BigQuery daily. They also need to transform the data with SQL and schedule a recurring query. Which combination of services meets these requirements with minimal operational overhead?

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

BigQuery Data Transfer Service for Google Ads and scheduled queries

BigQuery Data Transfer Service can automatically load Google Ads data; scheduled queries handle transformation.

Answer analysis

Option-by-option breakdown

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

  • Cloud Functions triggered by Cloud Scheduler to call Google Ads API and load into BigQuery

    Why it's wrong here

    This option introduces substantial operational overhead by requiring custom code within Cloud Functions to manage Google Ads API interaction, authentication, pagination, and data loading into BigQuery. This contradicts the requirement for minimal operational overhead. While Cloud Functions are excellent for scheduled, serverless execution of custom logic, they are best suited for bespoke integrations, real-time event processing, or when pre-built connectors lack specific functionality needed for complex data manipulation before ingestion.

  • Cloud Composer to extract Google Ads API and Dataflow to transform

    Why it's wrong here

    Higher operational overhead; unnecessary for simple scheduled loads.

  • Storage Transfer Service to move CSV files to GCS, then load into BigQuery

    Why it's wrong here

    Storage Transfer Service is for cloud storage transfers, not Google Ads data.

  • BigQuery Data Transfer Service for Google Ads and scheduled queries

    Why this is correct

    Direct integration with scheduled queries for transformation.

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