8 real PL-300 flashcards, sampled across every domain the exam tests. Each concept card is paired with the misconception card built from the tempting wrong answer - the trap most decks skip. No account, no card.
The full deck has 585 flashcards. For a domain-by-domain breakdown and a study plan, read the PL-300 study guide.
schoolConceptModel the Data
What is Microsoft's recommended pattern for relating two dimensions that have a many-to-many association?
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Use a bridging (factless fact) table that holds the keys of both dimensions, with duplicates allowed in each column, and relate each dimension to the bridge. Star-schema guidance documents this as best practice because it preserves clearer filter propagation and lets authors filter by either dimension with correctly aggregated facts.
errorMisconceptionModel the Data
A direct many-to-many relationship with single cross-filter direction is Microsoft's recommended way to relate two dimensions like Salesperson and Region.
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Direct many-to-many is supported, but the guidance recommends a bridging (factless fact) table when relating two dimensions because it preserves clearer filter propagation and is documented as the best practice.
schoolConceptPrepare the Data
How comparable are the Power Query Online and Power Query Desktop experiences?
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Although two Power Query experiences exist, Online and Desktop, both provide almost the same user experience for shaping data in every scenario. A few features differ, such as fuzzy grouping being Online-only, but the ribbon-driven shaping experience is parity-matched.
errorMisconceptionPrepare the Data
Power Query Online and Power Query for Desktop have completely separate, mismatched user experiences for shaping data.
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Wrong. Although two Power Query experiences exist (Online and Desktop), both provide almost the same ribbon-driven shaping experience in every scenario. They differ only in a few features, such as fuzzy grouping and the Percentile and Count distinct values aggregations being Online-only.
schoolConceptVisualize and Analyze the Data
Which Power BI visual reveals correlation and clusters between two numerical measures?
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A scatter chart is the documented choice for surfacing correlation between two numerical measures. It plots points at the intersection of two numerical values, revealing correlations and clusters, which suits comparing price against volume across many SKUs.
errorMisconceptionVisualize and Analyze the Data
A stacked column chart with unit price as the legend is a good way to reveal correlation between unit price and units sold across many SKUs.
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Stacked columns compare category totals, not the intersection of two numerical measures across hundreds of points. To reveal correlation and clusters between unit price and units sold, use a scatter chart that plots each SKU at the intersection of the two values.
schoolConceptDeploy and Maintain Assets
What is the least-privileged workspace role that can publish a new app?
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Member is the least-privileged role that can publish, unpublish, or change permissions for an app for the first time. Only Admin and Member can publish a new app; Contributors can update an app only when explicitly delegated.
errorMisconceptionDeploy and Maintain Assets
A workspace Contributor can publish a brand-new app from the workspace for the first time.
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Publishing the first version of an app is a Yes only for Admin and Member roles. Contributors can update an existing app when a workspace Admin explicitly delegates update rights, but they cannot create or publish an app for the first time. Member is the least-privileged role that can publish.
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