- A
Cloud Pub/Sub
Pub/Sub is a scalable messaging service for ingesting streaming data from IoT devices.
- B
Cloud Storage
Why wrong: Cloud Storage is object storage, not a real-time processing engine.
- C
Cloud Dataflow
Dataflow (Apache Beam) processes streaming data in real-time with exactly-once semantics.
- D
Cloud Functions
Why wrong: Cloud Functions is for event-driven functions, not for long-running streaming pipelines.
- E
BigQuery
Why wrong: BigQuery is for analytics queries but not for low-latency streaming processing.
Question 561 of 1,000
Cloud Digital Leader Google Cloud Products and Services Practice Question
This GCDL practice question tests your understanding of google cloud products and services. 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.
A company is building a real-time analytics pipeline on Google Cloud. They need to ingest streaming data from IoT devices, process it with low latency, and then store the results for real-time querying. Which TWO services should they use? (Choose TWO.)
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
✓
Cloud Pub/Sub
Pub/Sub ingests streaming data reliably, and Dataflow processes it with low latency. Other options are not suitable for real-time streaming analytics.
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 Pub/Sub
Why this is correct
Pub/Sub is a scalable messaging service for ingesting streaming data from IoT devices.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Storage
Why it's wrong here
Cloud Storage is object storage, not a real-time processing engine.
- ✓
Cloud Dataflow
Why this is correct
Dataflow (Apache Beam) processes streaming data in real-time with exactly-once semantics.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Functions
Why it's wrong here
Cloud Functions is for event-driven functions, not for long-running streaming pipelines.
- ✗
BigQuery
Why it's wrong here
BigQuery is for analytics queries but not for low-latency streaming processing.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
Identify which GCDL exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this GCDL question test?
Google Cloud Products and Services — This question tests Google Cloud Products and Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Pub/Sub — Pub/Sub ingests streaming data reliably, and Dataflow processes it with low latency. Other options are not suitable for real-time streaming analytics.
What should I do if I get this GCDL question wrong?
Identify which GCDL exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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 GCDL 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 GCDL exam.
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