Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5
mediumDrag & DropObjective-mapped
DP-203 Practice Question: Drag and drop the steps to set up Azure Data…
Drag and drop the steps to set up Azure Data Factory pipeline with parameterization and dynamic expressions into the correct order.
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
✓
Step 1: Create the pipeline. Step 2: Define parameters. Step 3: Use parameters in activities and linked services. Step 4: Trigger pipeline with parameter values.
Create the pipeline, define parameters, use them in activities and linked services, then trigger with values.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Step 1: Create the pipeline. Step 2: Define parameters. Step 3: Use parameters in activities and linked services. Step 4: Trigger pipeline with parameter values.
Why this is correct
This is the correct order because you must first create the pipeline, then define parameters so they are available, then reference them in activities and linked services, and finally trigger the pipeline with specific values.
- ✗
Step 1: Define parameters. Step 2: Create the pipeline. Step 3: Use parameters in activities and linked services. Step 4: Trigger pipeline with parameter values.
Why it's wrong here
This is incorrect because parameters cannot be defined before the pipeline exists; they are part of the pipeline definition. The pipeline must be created first.
- ✗
Step 1: Create the pipeline. Step 2: Use parameters in activities and linked services. Step 3: Define parameters. Step 4: Trigger pipeline with parameter values.
Why it's wrong here
This is incorrect because parameters must be defined before they can be used in activities and linked services. Using them before definition would cause errors.
- ✗
Step 1: Trigger pipeline with parameter values. Step 2: Create the pipeline. Step 3: Define parameters. Step 4: Use parameters in activities and linked services.
Why it's wrong here
This is incorrect because the pipeline must be created and configured before it can be triggered. Triggering is the final step after all setup is complete.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Data Factory
Azure Data Factory is a cloud-based data integration service that lets you create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations.
Key term
Data Transformation Pipelines
Data transformation pipelines are automated sequences of steps that take raw data from a source, clean and reshape it into a usable format, and then load it into a destination for analysis or storage.
About these practice questions
This DP-203 question is part of Courseiva's 760-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-203 practice question is part of Courseiva's free Microsoft 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 DP-203 exam.