Question 936 of 966

Manage and secure Power BI →mediumMultiple 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. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 a Power BI administrator for a large enterprise. The company has a Premium capacity (P3) that hosts over 200 datasets and 500 reports. Recently, users have reported that some reports take a long time to load, and the capacity metrics show high CPU usage during business hours. You need to optimize the capacity performance without adding additional capacity. The business requires that all reports remain available during business hours (9 AM to 5 PM). You have the following options:

A. Enable 'Autoscale' on the Premium capacity to automatically add additional v-cores during peak times. B. Implement a 'Query caching' policy for frequently used datasets. C. Move all datasets to shared capacity to reduce Premium load. D. Schedule dataset refreshes to occur only during business hours.

Which option should you choose?

A
Move all datasets to shared capacity to reduce Premium load.
Why wrong: Incorrect. Enabling Autoscale adds additional v-cores during peak times, which increases cost and does not meet the requirement to optimize without adding capacity.
B
Schedule dataset refreshes to occur only during business hours.
Why wrong: Incorrect. Scheduling dataset refreshes during business hours would increase CPU usage during peak times, making performance worse.
C
Enable 'Autoscale' on the Premium capacity to automatically add additional v-cores during peak times.
Why wrong: Incorrect. Moving datasets to shared capacity would likely degrade performance because shared capacity has lower performance limits and may not handle the workload.
D
Implement a 'Query caching' policy for frequently used datasets.
Correct. Implementing a query caching policy reduces CPU usage and improves report load times by caching query results for frequently used datasets, optimizing capacity without additional resources.

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

✓

Implement a 'Query caching' policy for frequently used datasets.

Option D is correct. Implementing a 'Query caching' policy for frequently used datasets can significantly improve report load times by storing query results in cache, reducing CPU usage and improving responsiveness. This aligns with the requirement to optimize performance without adding capacity. Option A is wrong because Autoscale adds additional v-cores during peak times, which increases cost, contrary to the requirement of optimizing without adding capacity. Option B is wrong because scheduling refreshes during business hours would increase CPU usage during peak times, worsening performance. Option C is wrong because moving datasets to shared capacity would degrade performance, as shared capacity has lower limits and may not support the workload.

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.

✗
Move all datasets to shared capacity to reduce Premium load.
Why it's wrong here
Incorrect. Enabling Autoscale adds additional v-cores during peak times, which increases cost and does not meet the requirement to optimize without adding capacity.
✗
Schedule dataset refreshes to occur only during business hours.
Why it's wrong here
Incorrect. Scheduling dataset refreshes during business hours would increase CPU usage during peak times, making performance worse.
✗
Enable 'Autoscale' on the Premium capacity to automatically add additional v-cores during peak times.
Why it's wrong here
Incorrect. Moving datasets to shared capacity would likely degrade performance because shared capacity has lower performance limits and may not handle the workload.
✓
Implement a 'Query caching' policy for frequently used datasets.
Why this is correct
Correct. Implementing a query caching policy reduces CPU usage and improves report load times by caching query results for frequently used datasets, optimizing capacity without additional resources.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

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.

Related PL-300 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

Prepare the data practice questions

Practise PL-300 questions linked to Prepare the data.

Deploy and maintain assets practice questions

Practise PL-300 questions linked to Deploy and maintain assets.

Model the data practice questions

Practise PL-300 questions linked to Model the data.

Visualize and analyze the data practice questions

Practise PL-300 questions linked to Visualize and analyze the data.

Manage and secure Power BI practice questions

Practise PL-300 questions linked to Manage and secure Power BI.

PL-300 fundamentals practice questions

Practise PL-300 questions linked to PL-300 fundamentals.

PL-300 scenario practice questions

Practise PL-300 questions linked to PL-300 scenario.

PL-300 troubleshooting practice questions

Practise PL-300 questions linked to PL-300 troubleshooting.

Practice this exam

Start a free PL-300 practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

10 questions 20 questions 30 questions 50 questions Timed 30

PL-300 practice-test guide →Study guide →Browse all practice tests

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 — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Implement a 'Query caching' policy for frequently used datasets. — Option D is correct. Implementing a 'Query caching' policy for frequently used datasets can significantly improve report load times by storing query results in cache, reducing CPU usage and improving responsiveness. This aligns with the requirement to optimize performance without adding capacity. Option A is wrong because Autoscale adds additional v-cores during peak times, which increases cost, contrary to the requirement of optimizing without adding capacity. Option B is wrong because scheduling refreshes during business hours would increase CPU usage during peak times, worsening performance. Option C is wrong because moving datasets to shared capacity would degrade performance, as shared capacity has lower limits and may not support the workload.

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

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 →

How Courseiva writes practice questions · Editorial policy

Keep practising

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.

Loading comments…

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.