- A
Cloud Storage
Storage is the landing zone for raw data.
- B
Dataproc
Dataproc runs Spark/ Hadoop jobs for processing.
- C
Cloud Composer
Composer schedules and orchestrates the daily pipeline with retries.
- D
Dataflow
Why wrong: Dataflow is unnecessary; Dataproc is already used.
- E
Pub/Sub
Why wrong: Pub/Sub is for event-driven ingestion, not needed for daily scheduling.
Question 815 of 1,000
PDE Maintaining and Automating Data Workloads Practice Question
This PDE practice question tests your understanding of maintaining and automating data workloads. 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 are building a data pipeline that ingests data from on-premises into Cloud Storage, then processes it with Dataproc, and finally loads into BigQuery. You need to schedule the pipeline to run daily. The pipeline must handle occasional failures gracefully. Which THREE Google Cloud services should you use together to achieve this? (Choose 3)
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 Storage
Cloud Composer orchestrates the whole pipeline. Cloud Storage is the staging area. Dataproc processes data. BigQuery is the destination. Dataflow is not needed. Pub/Sub is for messaging, not scheduling.
Key principle: OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
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 Storage
Why this is correct
Storage is the landing zone for raw data.
Related concept
OSPF neighbours must agree on key parameters.
- ✓
Dataproc
Why this is correct
Dataproc runs Spark/ Hadoop jobs for processing.
Related concept
OSPF neighbours must agree on key parameters.
- ✓
Cloud Composer
Why this is correct
Composer schedules and orchestrates the daily pipeline with retries.
Related concept
OSPF neighbours must agree on key parameters.
- ✗
Dataflow
Why it's wrong here
Dataflow is unnecessary; Dataproc is already used.
- ✗
Pub/Sub
Why it's wrong here
Pub/Sub is for event-driven ingestion, not needed for daily scheduling.
Common exam traps
Common exam trap: OSPF can fail even when IP connectivity looks correct
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Detailed technical explanation
How to think about this question
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
KKey Concepts to Remember
- OSPF neighbours must agree on key parameters.
- Router ID selection can affect neighbour relationships and LSDB output.
- OSPF cost influences the preferred path.
- A route can appear in OSPF information but not become the installed route.
TExam Day Tips
- Check area mismatch first when OSPF adjacency fails.
- Review passive interfaces when a network is advertised but no neighbour forms.
- Use show ip ospf neighbor and show ip route clues carefully.
Key takeaway
OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
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.
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related PDE OSPF questions on adjacency and route selection.
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Maintaining and Automating Data Workloads — study guide chapter
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FAQ
Questions learners often ask
What does this PDE question test?
Maintaining and Automating Data Workloads — This question tests Maintaining and Automating Data Workloads — OSPF neighbours must agree on key parameters..
What is the correct answer to this question?
The correct answer is: Cloud Storage — Cloud Composer orchestrates the whole pipeline. Cloud Storage is the staging area. Dataproc processes data. BigQuery is the destination. Dataflow is not needed. Pub/Sub is for messaging, not scheduling.
What should I do if I get this PDE question wrong?
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related PDE OSPF questions on adjacency and route selection.
What is the key concept behind this question?
OSPF neighbours must agree on key parameters.
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Last reviewed: Jul 4, 2026
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