- A
Dataflow
Dataflow can perform complex transformations between databases.
- B
Cloud Scheduler
Why wrong: Scheduler is for cron jobs, not data transformations.
- C
Dataproc
Dataproc can run Spark jobs for data transformation.
- D
Memorystore
Why wrong: Memorystore is a cache, not a data pipeline service.
- E
Cloud SQL Proxy
Why wrong: Proxy is for connecting to Cloud SQL, not data pipelines.
Question 241 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. 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 Google Cloud services can be used to build a data pipeline that transforms and moves data between different databases? (Select 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
✓
Dataflow
Dataflow is a serverless, fully managed service for executing Apache Beam pipelines, which can read from and write to various databases (e.g., Cloud Spanner, BigQuery, Cloud SQL) while performing transformations in a unified streaming or batch model. It is specifically designed for data movement and transformation between different data sources and sinks, making it a correct choice for building a data pipeline that transforms and moves data between databases.
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.
- ✓
Dataflow
Why this is correct
Dataflow can perform complex transformations between databases.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Scheduler
Why it's wrong here
Scheduler is for cron jobs, not data transformations.
- ✓
Dataproc
Why this is correct
Dataproc can run Spark jobs for data transformation.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Memorystore
Why it's wrong here
Memorystore is a cache, not a data pipeline service.
- ✗
Cloud SQL Proxy
Why it's wrong here
Proxy is for connecting to Cloud SQL, not data pipelines.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between services that are purely for connectivity or scheduling (Cloud Scheduler, Cloud SQL Proxy) versus actual data processing engines (Dataflow, Dataproc), and candidates mistakenly select Cloud SQL Proxy thinking it moves data because it 'connects' databases.
Detailed technical explanation
How to think about this question
Dataflow uses the Apache Beam SDK, which provides a unified programming model for both batch and streaming pipelines; it supports connectors for many databases via the Beam I/O connectors (e.g., JdbcIO for relational databases). Dataproc is a managed Hadoop/Spark service that can run Spark jobs for ETL, but it requires cluster management and is more suited for large-scale data processing with frameworks like Apache Spark or Hive, whereas Dataflow is serverless and auto-scales. In a real-world scenario, you might use Dataflow to continuously stream changes from Cloud SQL to BigQuery, while Dataproc could be used for periodic batch transformations on large datasets stored in Cloud Storage.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
What to study next
Got this wrong? Here's your next step.
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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: Dataflow — Dataflow is a serverless, fully managed service for executing Apache Beam pipelines, which can read from and write to various databases (e.g., Cloud Spanner, BigQuery, Cloud SQL) while performing transformations in a unified streaming or batch model. It is specifically designed for data movement and transformation between different data sources and sinks, making it a correct choice for building a data pipeline that transforms and moves data between databases.
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.
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