- A
Use Power Query in Power BI Desktop to combine the data and publish with scheduled refresh
Power Query can combine both sources and scheduled refresh updates the report.
- B
Export the SQL data to Excel and combine with the CSV in Power BI
Why wrong: Manual Excel export is not automated or scalable.
- C
Use Azure Data Factory to merge the data into a single SQL table
Why wrong: Data Factory is unnecessary for a simple combination of two sources.
- D
Use DirectQuery mode from Power BI for both sources
Why wrong: DirectQuery cannot easily combine a CSV file.
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. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 analyst needs to create a Power BI report that combines sales data from Azure SQL Database and marketing data from a CSV file stored in Azure Blob Storage. The report should refresh automatically. What is the recommended approach?
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
Use Power Query in Power BI Desktop to combine the data and publish with scheduled refresh
Using Power Query in Power BI Desktop to combine both sources and then publishing to the Power BI service with scheduled refresh is the standard approach. Option A (Azure Data Factory) is overkill for this simple combination. Option B (DirectQuery) cannot combine a CSV file easily. Option D (Excel) is not recommended for automation.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Power Query in Power BI Desktop to combine the data and publish with scheduled refresh
Why this is correct
Power Query can combine both sources and scheduled refresh updates the report.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Export the SQL data to Excel and combine with the CSV in Power BI
Why it's wrong here
Manual Excel export is not automated or scalable.
- ✗
Use Azure Data Factory to merge the data into a single SQL table
Why it's wrong here
Data Factory is unnecessary for a simple combination of two sources.
- ✗
Use DirectQuery mode from Power BI for both sources
Why it's wrong here
DirectQuery cannot easily combine a CSV file.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-900 NAT questions on configuration and troubleshooting.
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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 — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Use Power Query in Power BI Desktop to combine the data and publish with scheduled refresh — Using Power Query in Power BI Desktop to combine both sources and then publishing to the Power BI service with scheduled refresh is the standard approach. Option A (Azure Data Factory) is overkill for this simple combination. Option B (DirectQuery) cannot combine a CSV file easily. Option D (Excel) is not recommended for automation.
What should I do if I get this DP-900 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-900 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 21, 2026
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