The correct DAX expression is NetAmount = Orders[Quantity] * Orders[UnitPrice] * (1 - Orders[Discount]). This is the right choice because it creates a calculated column that is physically stored in the model, which directly satisfies the requirement for high-performance filtering. A calculated column is evaluated row by row during data refresh and materializes its values, making it ideal for slicing and dicing in visuals. In contrast, a measure is evaluated at query time and does not persist in memory, which would fail the storage requirement. On the PL-300 exam, this question tests your ability to distinguish between calculated columns and measures, a common trap where candidates mistakenly use SUMX or other iterator functions that produce measures instead of stored columns. Remember the key distinction: if you need a row-level, pre-computed value for filtering, use a calculated column; if you need dynamic aggregation, use a measure. A simple memory tip is “Column for cut, measure for sum”—calculated columns are for slicing, measures are for summing.
PL-300 Model the data Practice Question
This PL-300 practice question tests your understanding of model the data. 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.
You are building a Power BI report for a multinational corporation. The data model includes a fact table named Orders with columns: OrderID, CustomerID, OrderDate, ProductID, Quantity, UnitPrice, and Discount. The Customer dimension contains columns: CustomerID, CustomerName, Country, and Segment. The Product dimension contains: ProductID, ProductName, Category, Subcategory, and Price. You need to create a calculated column in the Orders table that calculates the net amount after discount for each order line (Quantity * UnitPrice * (1 - Discount)). You also need to ensure that the column is stored in the model for high-performance filtering. Which DAX expression should you use?
Option A uses the correct syntax and creates a calculated column that will be materialized in the model. Option B is a measure, not a calculated column. Option C is a measure. Option D uses SUMX, which is for measures and would not create a stored column.
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.
This incorrectly subtracts the discount value instead of multiplying by (1-discount).
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 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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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.
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 PL-300 NAT questions on configuration and troubleshooting.
Model the data — This question tests Model the data — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: NetAmount = Orders[Quantity] * Orders[UnitPrice] * (1 - Orders[Discount]) — Option A uses the correct syntax and creates a calculated column that will be materialized in the model. Option B is a measure, not a calculated column. Option C is a measure. Option D uses SUMX, which is for measures and would not create a stored column.
What should I do if I get this PL-300 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 PL-300 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You are building a Power BI report for a sales team. You have a table named 'Sales' with columns: SalesDate, ProductID, Quantity, UnitPrice, Discount. You also have a 'Date' table with continuous date range. You create a relationship from Sales[SalesDate] to Date[Date]. You need to calculate the total sales amount (Quantity * UnitPrice - Discount). You write the following measure:
TotalSales = SUMX(Sales, Sales[Quantity] * Sales[UnitPrice] - Sales[Discount])
The measure returns the correct total. However, when you slice by month from the Date table, the total does not change. What is the most likely cause?
easy
A.The Discount column might have negative values causing the total to be incorrect.
B.The measure should use SUM instead of SUMX because there are no row-level calculations.
✓ C.The Date table is not marked as a date table, and the relationship is not set to filter in both directions.
D.The measure does not use the Date table; it references only the Sales table, so it ignores filters from other tables.
Why C: Option C is correct because when a Date table is not marked as a date table, Power BI does not automatically enable bidirectional cross-filtering between the Date and Sales tables. Without this, slicers on the Date table (e.g., month) do not propagate filters to the Sales table, so the measure, which iterates over Sales rows, remains unaffected. Marking the Date table as a date table ensures that date hierarchies and slicers correctly filter related fact tables.
Last reviewed: Jun 21, 2026
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This PL-300 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 PL-300 exam.
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