Question 393 of 966

Manage and secure Power BI →hardMultiple ChoiceObjective-mapped

PL-300 Manage and secure Power BI Practice Question

This PL-300 practice question tests your understanding of manage and secure power bi. 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 Power BI dataset uses DirectQuery to a Snowflake data warehouse. Users report that the report takes more than 5 minutes to load. The dataset has complex DAX measures. The admin wants to improve performance without changing the data source. Which action is most effective?

A
Create aggregations in the dataset.
Why wrong: Aggregations require additional design and may not be effective if measures are complex.
B
Switch the dataset to Import mode and schedule refresh.
Why wrong: This changes the data source architecture and is not allowed per the constraint.
C
Reduce the number of visuals and simplify measures.
Fewer visuals and simpler DAX reduce the number of queries sent to Snowflake.
D
Increase the Power BI Premium capacity size.
Why wrong: Capacity size affects concurrent users, not query performance.

Full breakdown with real-world context →

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

✓

Reduce the number of visuals and simplify measures.

Reducing the number of visuals and simplifying measures (Option C) directly reduces the number of queries sent to the Snowflake data source and the complexity of each DAX calculation. This is the most effective action without changing the data source. Option A (creating aggregations) would require changes to the dataset, which is not allowed per the constraint. Option B (switching to Import mode) changes the data storage mode, which is not permitted. Option D (increasing capacity) does not optimize the query performance of the existing DirectQuery setup.

Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Create aggregations in the dataset.
Why it's wrong here
Aggregations require additional design and may not be effective if measures are complex.
✗
Switch the dataset to Import mode and schedule refresh.
Why it's wrong here
This changes the data source architecture and is not allowed per the constraint.
✓
Reduce the number of visuals and simplify measures.
Why this is correct
Fewer visuals and simpler DAX reduce the number of queries sent to Snowflake.
Related concept
Standard ACLs match source addresses.
✗
Increase the Power BI Premium capacity size.
Why it's wrong here
Capacity size affects concurrent users, not query performance.

Common exam traps

Common exam trap: ACLs stop at the first match

ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.

Detailed technical explanation

How to think about this question

ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.

KKey Concepts to Remember

Standard ACLs match source addresses.
Extended ACLs can match source, destination, protocol and ports.
The first matching ACL entry is used.
There is usually an implicit deny at the end.

TExam Day Tips

Check inbound versus outbound direction.
Read the ACL from top to bottom.
Look for a broader permit or deny above the intended line.

Key takeaway

ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.

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 ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PL-300 ACL questions on filtering logic and placement.

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FAQ

Questions learners often ask

What does this PL-300 question test?

Manage and secure Power BI — This question tests Manage and secure Power BI — Standard ACLs match source addresses..

What is the correct answer to this question?

The correct answer is: Reduce the number of visuals and simplify measures. — Reducing the number of visuals and simplifying measures (Option C) directly reduces the number of queries sent to the Snowflake data source and the complexity of each DAX calculation. This is the most effective action without changing the data source. Option A (creating aggregations) would require changes to the dataset, which is not allowed per the constraint. Option B (switching to Import mode) changes the data storage mode, which is not permitted. Option D (increasing capacity) does not optimize the query performance of the existing DirectQuery setup.

What should I do if I get this PL-300 question wrong?

What is the key concept behind this question?

Standard ACLs match source addresses.

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