Analytics, Artificial Intelligence (AI), Data Visualization, Microsoft Certification, PL-300, Power BI

Use Copilot to Suggest Content for a New Report Page (PL-300 Exam Prep)

 
This post is a part of the PL-300: Microsoft Power BI Data Analyst Exam Prep Hub; and this topic falls under these sections:
Visualize and analyze the data (25–30%)
   --> Create reports
      --> Use Copilot to Suggest Content for a New Report Page

Note that there are 10 practice questions (with answers and explanations) at the end of each topic. Also, there are 2 practice tests with 60 questions each available on the hub below all the exam topics.

Where This Topic Fits in the Exam

The PL-300: Microsoft Power BI Data Analyst exam tests your ability to design effective, insightful reports using both traditional and AI-assisted features. The skill “Use Copilot to suggest content for a new report page” appears under Create reports, highlighting Microsoft’s expectation that modern analysts understand how AI can assist—but not replace—human judgment in report design.

This topic is closely related to (but distinct from):

  • Use Copilot to create a new report page
  • Create a narrative visual with Copilot

For exam purposes, the key distinction is that Copilot is suggesting ideas, not automatically building a finalized page.

What Does “Suggest Content” Mean in Power BI Copilot?

When Copilot suggests content for a new report page, it:

  • Analyzes the existing semantic model (tables, relationships, measures)
  • Interprets a natural language request or business goal
  • Recommends:
    • Visual types (e.g., bar charts, KPIs, tables)
    • Relevant fields or measures
    • Possible analytical focus areas (trends, comparisons, summaries)

Unlike fully creating a page, Copilot may not automatically place all visuals on the canvas. Instead, it provides guidance and recommendations that the analyst can choose to implement.

Why This Matters for PL-300

Microsoft includes this topic to ensure candidates understand:

  • The assistive role of Copilot in report design
  • How AI can help analysts decide what to show, not just how to show it
  • That Copilot suggestions still require validation and refinement

On the exam, this topic is about decision support, not automation.

Typical Use Cases for Content Suggestions

Copilot is especially useful when:

  • You are unsure which visuals best represent a business question
  • You want guidance on common analytical patterns (e.g., trends, breakdowns, comparisons)
  • You need inspiration for structuring a new report page quickly
  • You are working with a well-modeled dataset but lack domain familiarity

Example scenarios:

  • Suggesting visuals for sales performance analysis
  • Recommending KPIs for executive summaries
  • Identifying common breakdowns such as region, product, or time

How Copilot Generates Suggestions

Copilot bases its suggestions on:

  • Table and column names
  • Defined measures and calculations
  • Relationships in the model
  • Metadata and semantic structure

Because of this, model quality directly impacts suggestion quality. Poor naming or unclear measures lead to weaker recommendations.

What Copilot Does Well

Copilot excels at:

  • Identifying commonly used measures
  • Recommending standard visual patterns
  • Highlighting trends, totals, and comparisons
  • Accelerating the “what should I show?” phase of report creation

This makes it ideal for early-stage report design.

What Copilot Does Not Do

Copilot does not:

  • Understand nuanced business definitions
  • Guarantee the most relevant KPIs
  • Validate measure logic or calculations
  • Decide final layout or storytelling flow
  • Replace analyst expertise

For the exam, it’s critical to recognize that Copilot suggestions are optional and advisory.

Copilot Suggestions vs Manual Design

AspectCopilot SuggestionsManual Design
PurposeGuidance and ideasFinal decisions
SpeedFastSlower
PrecisionGeneralizedExact
ResponsibilityAnalyst reviewsAnalyst defines

PL-300 scenarios often test whether you know when to accept Copilot guidance and when manual expertise is required.

Best Practices When Using Copilot Suggestions

From an exam and real-world perspective:

  • Treat suggestions as starting points
  • Validate relevance against business goals
  • Confirm measures and aggregations
  • Adjust visuals, filters, and layout manually
  • Ensure suggested content aligns with stakeholder needs

Copilot helps with ideation, not accountability.

Exam Focus — How This Topic Is Tested

PL-300 questions typically:

  • Ask when Copilot should be used to suggest content
  • Contrast suggesting content vs creating content
  • Test understanding of Copilot’s advisory role
  • Emphasize the importance of analyst judgment

Common exam phrasing:

  • “Which feature can recommend visuals for a new report page?”
  • “Which tool helps identify relevant content without automatically building the page?”

Correct answers often point to Copilot, with the understanding that the analyst still curates the final result.

Summary

For “Use Copilot to suggest content for a new report page”, you should understand:

  • Copilot provides recommendations, not finalized pages
  • Suggestions are based on the semantic model
  • Output quality depends on model design
  • Analyst review and decision-making remain essential
  • This feature accelerates ideation and planning in report creation

This topic reinforces Microsoft’s view of Copilot as an AI assistant for analysts, not a replacement—an important mindset for both the PL-300 exam and real-world Power BI development.

Practice Questions

Go to the practice questions for this topic.

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