- A
Batch processing
Batch processing handles data in discrete, scheduled batches, which matches the daily collection and reporting cycle.
- B
Real-time processing
Why wrong: Real-time processing handles data immediately as it is generated, which is not the case here as data is collected only at end of day.
- C
Stream processing
Why wrong: Stream processes a continuous data stream, not periodic file exports.
- D
Interactive query
Why wrong: Interactive query allows ad-hoc analysis on demand; this scenario is a scheduled, automated process.
Quick Answer
The answer is batch processing. This is correct because the retail chain collects sales data from each store at the end of the business day, exports it as CSV files, and then combines and analyzes it in a scheduled, non-continuous manner—exactly how batch processing works, processing large volumes of data at periodic intervals rather than in real time. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your ability to distinguish batch from stream processing; a common trap is confusing scheduled nightly jobs with real-time analytics, but remember that batch processing lacks the immediate, continuous data flow of streaming. A useful memory tip: if the data waits for a scheduled time to be processed, like a daily sales report, it’s batch—think “batch of bread baked at the end of the day.”
DP-900 Describe core data concepts Practice Question
This DP-900 practice question tests your understanding of describe core data concepts. 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.
A retail chain collects sales data from all its stores at the end of each business day by exporting CSV files from each store's database. The data is then combined and analyzed to generate daily sales reports. Which type of data processing does this describe?
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
Batch processing
This describes batch processing because sales data is collected from each store at the end of the business day, exported as CSV files, and then combined and analyzed in a scheduled, non-continuous manner. Batch processing is ideal for large volumes of data that are processed at periodic intervals, such as daily sales reports, rather than requiring immediate action.
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
Batch processing handles data in discrete, scheduled batches, which matches the daily collection and reporting cycle.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Real-time processing
Why it's wrong here
Real-time processing handles data immediately as it is generated, which is not the case here as data is collected only at end of day.
- ✗
Stream processing
Why it's wrong here
Stream processes a continuous data stream, not periodic file exports.
- ✗
Interactive query
Why it's wrong here
Interactive query allows ad-hoc analysis on demand; this scenario is a scheduled, automated process.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'daily export' with 'real-time' because they think 'daily' implies frequent updates, but batch processing is defined by the scheduled, non-continuous nature of the data collection and processing, not the frequency.
Trap categories for this question
Scenario analysis trap
Interactive query allows ad-hoc analysis on demand; this scenario is a scheduled, automated process.
Detailed technical explanation
How to think about this question
Batch processing typically uses technologies like Azure Data Factory or Apache Hadoop MapReduce to orchestrate and execute jobs on large datasets at rest. Under the hood, batch jobs often involve Extract, Transform, Load (ETL) pipelines where data is read from sources (e.g., CSV files), transformed (e.g., aggregated by store), and written to a target (e.g., a SQL database or data lake) in a single, scheduled run. A real-world scenario is a retail chain using Azure Synapse Analytics to run nightly batch jobs that combine CSV exports from hundreds of stores into a unified sales dashboard.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DP-900 question test?
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 describes batch processing because sales data is collected from each store at the end of the business day, exported as CSV files, and then combined and analyzed in a scheduled, non-continuous manner. Batch processing is ideal for large volumes of data that are processed at periodic intervals, such as daily sales reports, rather than requiring immediate action.
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.
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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