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. 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 company runs a nightly process that reads all sales transactions from the previous day, aggregates them by product category and store location, and writes the summary results into a data warehouse for reporting. Which type of data processing workload best describes this nightly process?
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
The nightly process reads all sales transactions from the previous day, aggregates them, and writes summary results into a data warehouse. This is a classic batch processing workload because data is collected over a period (the entire previous day), processed in a single offline job, and the output is stored for later reporting. Batch processing is ideal for high-volume, non-real-time transformations like nightly ETL (Extract, Transform, Load) jobs.
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.
✗
Online Transaction Processing (OLTP)
Why it's wrong here
OLTP handles many small transactions (inserts, updates) in real-time, not large-scale aggregation jobs on historical data.
✓
Batch processing
Why this is correct
Batch processing is the correct classification because the job processes a large volume of accumulated data at a scheduled time (nightly).
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
Stream processing handles continuous data flows in near real-time, not daily snapshots of data.
✗
Data warehousing
Why it's wrong here
Data warehousing is a storage and querying paradigm, not a type of data processing workload. The nightly job is the processing workload.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the destination (data warehousing) with the processing workload, or mistake a scheduled nightly aggregation for stream processing because they see 'data' and 'processing' without recognizing the batch window.
Detailed technical explanation
How to think about this question
Under the hood, batch processing typically uses technologies like Azure Data Factory, Apache Spark (in batch mode), or SQL Server Integration Services (SSIS) to execute scheduled jobs. The process often involves reading from a staging area (e.g., Azure Blob Storage or a transactional database), applying transformations such as GROUP BY and SUM, and writing to a star-schema fact table in the data warehouse. A subtle behavior is that batch jobs must handle idempotency to avoid double-counting if the job fails mid-way and is retried.
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.
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 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: Batch processing — The nightly process reads all sales transactions from the previous day, aggregates them, and writes summary results into a data warehouse. This is a classic batch processing workload because data is collected over a period (the entire previous day), processed in a single offline job, and the output is stored for later reporting. Batch processing is ideal for high-volume, non-real-time transformations like nightly ETL (Extract, Transform, Load) jobs.
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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Question Discussion
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