PDE Ingesting and Processing the Data Practice Question
You need to ingest Google Ads performance data into BigQuery on a daily basis for reporting. Which service should you use?
⚠ Common exam trap
Google often tests the distinction between fully managed services (like BigQuery Data Transfer Service) and generic infrastructure components (like Cloud Scheduler or Pub/Sub) that require custom development, leading candidates to overcomplicate the solution by choosing a more flexible but less appropriate option.
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
The BigQuery Data Transfer Service for Google Ads is the correct choice because it provides a fully managed, scheduled connector that automatically ingests Google Ads performance data into BigQuery on a daily basis without requiring any custom code. It handles authentication, schema mapping, and incremental loads, making it the simplest and most reliable solution for this specific use case.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
BigQuery Data Transfer Service for Google Ads
Why this is correct
BigQuery Data Transfer Service provides a managed, scheduled connector that pulls Google Ads performance data directly into BigQuery daily without custom extraction code. This satisfies the stem's daily ingestion requirement, handling authentication, incremental transfers and backfill automatically.
- ✗
Cloud Scheduler to call Google Ads API and load to BigQuery
Why it's wrong here
Cloud Scheduler alone cannot authenticate to the Google Ads API or handle the OAuth2 token refresh required for programmatic data extraction; it merely triggers HTTP endpoints or Pub/Sub messages, lacking built-in integration with Google Ads. This option is tempting because Cloud Scheduler is commonly used to orchestrate periodic data loads into BigQuery via scheduled queries or Cloud Functions, and it would be correct if the data source exposed a simple REST endpoint without requiring custom authentication logic.
- ✗
Pub/Sub with a Google Ads subscriber
Why it's wrong here
Pub/Sub is a messaging transport; it has no Google Ads subscriber that retrieves campaign metrics, so nothing would publish the performance data. Pub/Sub suits decoupling application events between services, not scheduled ingestion from the Google Ads API into BigQuery.
- ✗
Storage Transfer Service for Google Ads
Why it's wrong here
Storage Transfer Service moves objects between storage systems such as S3, Azure Blob or HTTP sources into Cloud Storage; it has no Google Ads connector and cannot pull campaign metrics. It is correct for bulk file transfers, not for ingesting advertising performance data into BigQuery.
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