- A
Azure Data Factory
Why wrong: Azure Data Factory is primarily an orchestration and data movement service. It supports limited transformation through Mapping Data Flows but is not the best for complex Python and Spark code.
- B
Azure Synapse Pipelines
Why wrong: Synapse Pipelines are similar to Data Factory and are not optimized for running custom Python/Spark code. They are used for orchestration.
- C
Azure Databricks
Correct. Azure Databricks is a Spark-based analytics platform that allows complex transformations using Python, Scala, or SQL, and integrates well with Data Lake Storage.
- D
Azure Analysis Services
Why wrong: Azure Analysis Services is a semantic modeling and reporting layer, not a data transformation engine. It is used to create tabular models from prepared data.
Quick Answer
The answer is Azure Databricks, the best choice for executing complex Python and Spark transformations on streaming IoT data. This service is built on Apache Spark, providing a unified analytics platform that can handle large-scale, real-time data streams and seamlessly write transformed results to Azure Data Lake Storage Gen2 for downstream analysis. On the DP-900 exam, this question tests your understanding of which Azure service specializes in big data and advanced analytics, often contrasting Azure Databricks with simpler services like Azure Stream Analytics or Azure Synapse Analytics. A common trap is choosing Stream Analytics because it handles streaming, but remember that Stream Analytics uses a SQL-like language and is not designed for complex Python or Spark code. For the exam, keep this memory tip in mind: if the transformation requires custom Python or Spark logic, think "Databricks for data bricks of code."
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 data engineer needs to build an analytics solution to transform large volumes of streaming data from IoT devices. The transformations involve complex Python and Spark code, and the results will be stored in Azure Data Lake Storage Gen2 for further analysis. Which Azure service is best suited for executing these transformations?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Azure Databricks
Azure Databricks is best suited because it provides an Apache Spark-based analytics platform that can execute complex Python and Spark code on large-scale streaming data. It integrates natively with Azure Data Lake Storage Gen2 for reading streaming IoT data and writing transformed results, offering optimized performance for big data transformations.
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.
- ✗
Azure Data Factory
Why it's wrong here
Azure Data Factory is primarily an orchestration and data movement service. It supports limited transformation through Mapping Data Flows but is not the best for complex Python and Spark code.
- ✗
Azure Synapse Pipelines
Why it's wrong here
Synapse Pipelines are similar to Data Factory and are not optimized for running custom Python/Spark code. They are used for orchestration.
- ✓
Azure Databricks
Why this is correct
Correct. Azure Databricks is a Spark-based analytics platform that allows complex transformations using Python, Scala, or SQL, and integrates well with Data Lake Storage.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Analysis Services
Why it's wrong here
Azure Analysis Services is a semantic modeling and reporting layer, not a data transformation engine. It is used to create tabular models from prepared data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Azure Data Factory or Synapse Pipelines with compute engines for code-based transformations, when those services are primarily for orchestration and integration, not for executing complex Python/Spark code on streaming data.
Trap categories for this question
Similar concept trap
Synapse Pipelines are similar to Data Factory and are not optimized for running custom Python/Spark code. They are used for orchestration.
Detailed technical explanation
How to think about this question
Azure Databricks leverages Apache Spark's Structured Streaming for real-time processing, using micro-batch or continuous processing modes to handle IoT data streams. It also supports Delta Lake for ACID transactions on Data Lake Storage Gen2, ensuring data reliability during transformations. In real-world scenarios, engineers often use Databricks Auto Loader to incrementally ingest streaming data from cloud storage without manual schema inference.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Describe an analytics workload on Azure — study guide chapter
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FAQ
Questions learners often ask
What does this DP-900 question test?
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Databricks — Azure Databricks is best suited because it provides an Apache Spark-based analytics platform that can execute complex Python and Spark code on large-scale streaming data. It integrates natively with Azure Data Lake Storage Gen2 for reading streaming IoT data and writing transformed results, offering optimized performance for big data transformations.
What should I do if I get this DP-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This DP-900 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-900 exam.
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