The answer is batch processing because the retail company’s workflow collects daily sales data into Azure Blob Storage over a full day and then processes that entire dataset as a group at a scheduled 2:00 AM trigger using Azure Data Factory. This pattern is defined by periodic, high-volume data loads where the transformation job runs on a complete batch of records rather than streaming individual records in real time. On the DP-900 exam, this scenario tests your ability to distinguish batch processing from streaming or transactional processing—a common trap is confusing scheduled triggers with real-time ingestion, but remember that batch processing always involves a delay between data arrival and processing. A useful memory tip: think of batch as “baking a full tray of cookies at once” rather than baking one cookie every minute.
DP-900 Describe core data concepts Practice Question
This DP-900 practice question tests your understanding of describe core data concepts. 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 retail company uploads daily sales data from all stores to Azure Blob Storage at midnight. They then run a series of data transformations using Azure Data Factory on a scheduled trigger at 2:00 AM. This processing pattern is best described as:
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 the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Batch processing
This pattern is batch processing because the sales data is collected in Azure Blob Storage over a period (daily) and then processed as a group at a scheduled time (2:00 AM) using Azure Data Factory. Batch processing is designed for high-volume, periodic data loads where latency is acceptable, and the transformation job runs on a complete dataset rather than individual records.
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.
✓
Batch processing
Why this is correct
Correct. Data is collected over time and processed in bulk on a schedule, which is the definition of batch processing.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Stream processing
Why it's wrong here
Incorrect. Stream processes data in real time as it arrives, not on a scheduled batch.
✗
Transactional processing
Why it's wrong here
Incorrect. Transactional processing handles individual row-level operations with ACID guarantees, not scheduled bulk transforms.
✗
Interactive query
Why it's wrong here
Incorrect. Interactive query allows users to run queries on demand, not scheduled batch jobs.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse scheduled data movement with stream processing, but the key differentiator is the time delay and the processing of a complete dataset in one job rather than individual events as they occur.
Detailed technical explanation
How to think about this question
Azure Data Factory uses a tumbling window trigger to schedule pipeline execution at fixed intervals, and the underlying data movement leverages PolyBase or Copy Activity for efficient bulk transfers. In batch processing, the data is typically staged in Blob Storage as Parquet or CSV files, and transformations are executed using Mapping Data Flows or Databricks notebooks, which operate on the entire dataset at once. A real-world scenario where this matters is when the company needs to aggregate sales by region and product category after all store data is available, ensuring consistency across the batch.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Batch processing — This pattern is batch processing because the sales data is collected in Azure Blob Storage over a period (daily) and then processed as a group at a scheduled time (2:00 AM) using Azure Data Factory. Batch processing is designed for high-volume, periodic data loads where latency is acceptable, and the transformation job runs on a complete dataset rather than individual records.
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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