Question 594 of 1,000
Ingesting and Processing the DataeasyMultiple ChoiceObjective-mapped

PDE Ingesting and Processing the Data Practice Question

This PDE practice question tests your understanding of ingesting and processing the data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

You need to ingest Google Ads performance data into BigQuery on a daily basis for reporting. Which service should you use?

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.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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

    This service is specifically designed to import data from Google Ads into BigQuery on a scheduled basis.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Cloud Scheduler to call Google Ads API and load to BigQuery

    Why it's wrong here

    You could use this, but it is more complex and not a managed service; BigQuery Data Transfer Service is the correct managed solution.

  • Pub/Sub with a Google Ads subscriber

    Why it's wrong here

    Google Ads does not natively publish to Pub/Sub.

  • Storage Transfer Service for Google Ads

    Why it's wrong here

    Storage Transfer Service is for cloud storage (GCS, S3, Azure Blob), not for Google Ads.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco 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.

Detailed technical explanation

How to think about this question

The BigQuery Data Transfer Service for Google Ads uses OAuth 2.0 for authentication and automatically maps Google Ads fields (e.g., impressions, clicks, cost) to BigQuery tables with predefined schemas. It supports incremental backfills and can be configured to run at a specific time daily, handling rate limits and retries transparently. In a real-world scenario, if you need to combine Google Ads data with other marketing sources, this service simplifies the ETL pipeline by landing data directly into BigQuery for immediate querying.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this PDE question test?

Ingesting and Processing the Data — This question tests Ingesting and Processing the Data — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: 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.

What should I do if I get this PDE question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This PDE 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 PDE exam.