PDE Maintaining and Automating Data Workloads Practice Question
A streaming Dataflow pipeline needs to be updated without draining the existing pipeline. Which update strategy should be used?
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
✓
Replace the job with a new job using the same pipeline name
Dataflow Streaming Engine allows updates without draining by using the same pipeline name and enabling Streaming Engine.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Drain the pipeline first, then start a new one
Why it's wrong here
Draining causes data loss; the requirement is to update without draining.
- ✓
Replace the job with a new job using the same pipeline name
Why this is correct
Dataflow supports updating an existing streaming job if the pipeline name matches and the graph is compatible.
- ✗
Use a different pipeline name and cancel the old one
Why it's wrong here
This creates a new job, not an update.
- ✗
Stop the job, update the code, and restart
Why it's wrong here
Stopping loses state; update without stopping is possible.
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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.