The answer is to use a composite model with a DirectQuery connection to the source for detail data. This approach is correct because a composite model allows you to import the aggregated sales table for fast, high-level queries while keeping a DirectQuery connection to the SQL Server source for the full transaction table, enabling drill-down without sacrificing the performance benefit of aggregation. On the PL-300 exam, this scenario tests your understanding of hybrid table storage modes within a single model, a common trap being the temptation to import everything or rely solely on DirectQuery, which would either bloat the model or slow down summary queries. Remember the memory tip: “Aggregate for speed, DirectQuery for detail” — think of the composite model as having a fast lane for totals and a direct line to the source for granular data.
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.
Exhibit
Refer to the exhibit. The following is a Power Query M code snippet:
let
Source = Sql.Database("server", "database"),
Sales = Source{[Schema="dbo",Item="Sales"]}[Data],
FilteredRows = Table.SelectRows(Sales, each [OrderDate] >= #date(2023,1,1)),
Grouped = Table.Group(FilteredRows, {"CustomerID"}, {{"TotalAmount", each List.Sum([Amount]), type number}})
in
Grouped
You are loading data into Power BI. The above Power Query script connects to a SQL Server database and loads aggregated sales by customer. However, the report requires the ability to drill down to individual transactions for a selected customer. What is the best approach to meet this requirement without losing the performance benefit of aggregation?
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.
Refer to the exhibit. The following is a Power Query M code snippet:
let
Source = Sql.Database("server", "database"),
Sales = Source{[Schema="dbo",Item="Sales"]}[Data],
FilteredRows = Table.SelectRows(Sales, each [OrderDate] >= #date(2023,1,1)),
Grouped = Table.Group(FilteredRows, {"CustomerID"}, {{"TotalAmount", each List.Sum([Amount]), type number}})
in
Grouped
A
Remove the Grouped step and add a measure to aggregate at query time
Why wrong: Still requires full transaction data.
B
Modify the filter date to include all years
Why wrong: Does not solve the drill-down issue.
C
Remove the Grouped step and import all transactions
Why wrong: This would lose performance benefits.
D
Use a composite model with a DirectQuery connection to the source for detail data
Allows drill-through to details while keeping aggregation for performance.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a composite model with a DirectQuery connection to the source for detail data
Use a composite model: import the aggregated table for high-level queries and use DirectQuery for the full detail table when drilling down. Option D is correct. Option A is wrong because it loses performance. Option B is wrong because the script filters out data before 2023. Option C is wrong because the script groups data, removing transaction details.
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.
✗
Remove the Grouped step and add a measure to aggregate at query time
Why it's wrong here
Still requires full transaction data.
✗
Modify the filter date to include all years
Why it's wrong here
Does not solve the drill-down issue.
✗
Remove the Grouped step and import all transactions
Why it's wrong here
This would lose performance benefits.
✓
Use a composite model with a DirectQuery connection to the source for detail data
Why this is correct
Allows drill-through to details while keeping aggregation for performance.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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.
Identify which PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Model the data — This question tests Model the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a composite model with a DirectQuery connection to the source for detail data — Use a composite model: import the aggregated table for high-level queries and use DirectQuery for the full detail table when drilling down. Option D is correct. Option A is wrong because it loses performance. Option B is wrong because the script filters out data before 2023. Option C is wrong because the script groups data, removing transaction details.
What should I do if I get this PL-300 question wrong?
Identify which PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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