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.
Which THREE components are part of a typical modern data warehouse architecture on Azure?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Data Factory
Azure Data Factory is a cloud-based ETL and data integration service that orchestrates and automates the movement and transformation of data. In a modern data warehouse architecture, it is used to ingest data from various sources, perform transformations, and load the data into the data warehouse or data lake. This makes it a core component for the 'ingest' and 'prepare' stages of the architecture.
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 this is correct
Data Factory provides ETL/ELT capabilities to move and transform data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Cosmos DB
Why it's wrong here
Cosmos DB is a NoSQL transactional database, not typically part of a data warehouse architecture.
✗
Azure Analysis Services
Why it's wrong here
Analysis Services is an optional semantic layer, not a core component of the modern data warehouse.
✓
Azure Synapse Analytics
Why this is correct
Synapse Analytics is the data warehouse for analytics and reporting.
Related concept
Read the scenario before looking for a memorised answer.
✓
Azure Data Lake Storage Gen2
Why this is correct
ADLS Gen2 serves as the data lake for storing raw and curated data.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Cosmos DB (a transactional NoSQL database) with an analytical store, or mistakenly think Azure Analysis Services is a required part of the data warehouse architecture when it is actually an optional semantic layer.
Detailed technical explanation
How to think about this question
A modern data warehouse on Azure typically follows a 'medallion' architecture (bronze, silver, gold layers) within Azure Data Lake Storage Gen2, where raw data is ingested, cleaned, and aggregated. Azure Synapse Analytics provides the SQL-based analytical engine (dedicated SQL pool or serverless SQL) to query the gold layer, while Azure Data Factory orchestrates the pipelines that move data between these layers. This separation of compute and storage allows for scalable, cost-effective analytics.
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 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 Data Factory — Azure Data Factory is a cloud-based ETL and data integration service that orchestrates and automates the movement and transformation of data. In a modern data warehouse architecture, it is used to ingest data from various sources, perform transformations, and load the data into the data warehouse or data lake. This makes it a core component for the 'ingest' and 'prepare' stages of the architecture.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.