- A
Cloud Data Fusion
Why wrong: Data Fusion is for ETL/ELT pipelines, not for live federated querying.
- B
BigQuery federated queries
Why wrong: Federated queries only support GCP sources, not AWS S3 or Azure.
- C
BigQuery Omni
BigQuery Omni enables querying data across multi-cloud storage (AWS S3, Azure Blob) directly from BigQuery.
- D
Cloud Dataproc with Spark SQL
Why wrong: Dataproc requires moving data or mounting filesystems; it is not a federated query solution.
Question 749 of 980
PCD Practice Question: Manage a Solution that Can Span Multiple Database Systems
This PCD practice question tests your understanding of manage a solution that can span multiple database systems. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
A company wants to analyse data across Google Cloud and Amazon Web Services without moving the data. They need to query live data in Amazon S3 and Google Cloud Storage from BigQuery. Which feature should they 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 Omni
BigQuery Omni allows you to query data across Google Cloud, AWS, and Azure without moving the data. It uses BigQuery's federated query engine to run queries directly on data stored in Amazon S3 and Google Cloud Storage, leveraging BigQuery's standard SQL interface. This meets the requirement of querying live data across both clouds without data movement.
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.
- ✗
Cloud Data Fusion
Why it's wrong here
Data Fusion is for ETL/ELT pipelines, not for live federated querying.
- ✗
BigQuery federated queries
Why it's wrong here
Federated queries only support GCP sources, not AWS S3 or Azure.
- ✓
BigQuery Omni
Why this is correct
BigQuery Omni enables querying data across multi-cloud storage (AWS S3, Azure Blob) directly from BigQuery.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Dataproc with Spark SQL
Why it's wrong here
Dataproc requires moving data or mounting filesystems; it is not a federated query solution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between BigQuery federated queries (limited to Google Cloud sources) and BigQuery Omni (multi-cloud), so candidates mistakenly choose federated queries thinking it covers S3, but it does not.
Detailed technical explanation
How to think about this question
BigQuery Omni uses a multi-cloud architecture where compute nodes run in the customer's AWS or Azure region, reading data directly from S3 or Azure Blob Storage via BigQuery's distributed query engine. It supports the BigQuery Storage API for efficient columnar reads and uses standard SQL, but note that it does not support all BigQuery features (e.g., user-defined functions, materialized views) and incurs cross-cloud data transfer costs. A real-world scenario is a company with data lakes in both AWS and GCP needing to join sales data from S3 with customer data in BigQuery for unified analytics.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Manage a Solution that Can Span Multiple Database Systems — study guide chapter
Learn the concepts, then practise the questions
- →
Manage a Solution that Can Span Multiple Database Systems practice questions
Targeted practice on this topic area only
- →
All PCD questions
980 questions across all exam domains
- →
Google Professional Cloud Developer study guide
Full concept coverage aligned to exam objectives
- →
PCD practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related PCD practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Manage a Solution that Can Span Multiple Database Systems practice questions
Practise PCD questions linked to Manage a Solution that Can Span Multiple Database Systems.
Deploy Scalable and Highly Available Databases in Google Cloud practice questions
Practise PCD questions linked to Deploy Scalable and Highly Available Databases in Google Cloud.
Design Scalable and Highly Available Cloud Database Solutions practice questions
Practise PCD questions linked to Design Scalable and Highly Available Cloud Database Solutions.
Migrate Data Solutions practice questions
Practise PCD questions linked to Migrate Data Solutions.
Designing highly scalable, available, and reliable cloud-native applications practice questions
Practise PCD questions linked to Designing highly scalable, available, and reliable cloud-native applications.
Building and testing applications practice questions
Practise PCD questions linked to Building and testing applications.
Deploying applications practice questions
Practise PCD questions linked to Deploying applications.
Integrating Google Cloud services practice questions
Practise PCD questions linked to Integrating Google Cloud services.
Managing application performance monitoring practice questions
Practise PCD questions linked to Managing application performance monitoring.
PCD fundamentals practice questions
Practise PCD questions linked to PCD fundamentals.
PCD scenario practice questions
Practise PCD questions linked to PCD scenario.
PCD troubleshooting practice questions
Practise PCD questions linked to PCD troubleshooting.
Practice this exam
Start a free PCD practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this PCD question test?
Manage a Solution that Can Span Multiple Database Systems — This question tests Manage a Solution that Can Span Multiple Database Systems — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: BigQuery Omni — BigQuery Omni allows you to query data across Google Cloud, AWS, and Azure without moving the data. It uses BigQuery's federated query engine to run queries directly on data stored in Amazon S3 and Google Cloud Storage, leveraging BigQuery's standard SQL interface. This meets the requirement of querying live data across both clouds without data movement.
What should I do if I get this PCD 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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
This PCD 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 PCD exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.