- A
It supports data transformation during transfer.
Why wrong: It does not transform data; it only loads data as-is.
- B
It can transfer data from Cloud SQL to BigQuery directly.
Why wrong: No direct transfer; you need to export from Cloud SQL first.
- C
It is only available in the US and EU regions.
Why wrong: It is available in many regions globally.
Question 287 of 1,000
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.
Which TWO statements are true about BigQuery Data Transfer Service? (Choose 2)
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
✓
It supports scheduled transfers from Amazon S3 and Redshift.
Option D is correct because BigQuery Data Transfer Service supports scheduled, fully managed transfers from Amazon S3 and Amazon Redshift, enabling automated data ingestion into BigQuery for cross-cloud analytics. Option E is correct because the service natively integrates with Google Ads, YouTube, and Google Ad Manager to pull advertising and performance data directly into BigQuery on a recurring schedule.
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.
- ✗
It supports data transformation during transfer.
Why it's wrong here
It does not transform data; it only loads data as-is.
- ✗
It can transfer data from Cloud SQL to BigQuery directly.
Why it's wrong here
No direct transfer; you need to export from Cloud SQL first.
- ✗
It is only available in the US and EU regions.
Why it's wrong here
It is available in many regions globally.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that BigQuery Data Transfer Service can perform ETL transformations during transfer, but it is strictly an EL (Extract and Load) service without built-in transformation capabilities.
Detailed technical explanation
How to think about this question
Under the hood, BigQuery Data Transfer Service uses a managed agent model for Amazon S3 and Redshift transfers, requiring you to grant cross-cloud access via IAM roles and a VPC peering or public endpoint. For Google Ads, it leverages the Google Ads API to pull reports like campaign performance and click metrics, automatically handling schema mapping and incremental loads. A subtle behavior is that transfers from Amazon Redshift use UNLOAD to export data to S3 first, then the service ingests from S3, adding latency and cost considerations.
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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: It supports scheduled transfers from Amazon S3 and Redshift. — Option D is correct because BigQuery Data Transfer Service supports scheduled, fully managed transfers from Amazon S3 and Amazon Redshift, enabling automated data ingestion into BigQuery for cross-cloud analytics. Option E is correct because the service natively integrates with Google Ads, YouTube, and Google Ad Manager to pull advertising and performance data directly into BigQuery on a recurring schedule.
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.
About these practice questions
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Last reviewed: Jul 4, 2026
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.
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