Free PL-300 Korean Questions for Microsoft Power BI Data Analyst (PL-300 Korean Version) PL-300 Korean Exam as PDF & Practice Test Engine

Explanation:

The deciding requirement in this question is to configure the page to ensure that the card and the bar chart are unaffected when a user drills down in the matrix The card and the bar chart must change when. Each Power BI visual encodes a different relationship. The field wells, filters, and formatting must preserve the intended comparison, trend, hierarchy, or composition without implying a conclusion the data does not support. Use the selections preserved in the answer exhibit as the supported configuration. The other visual or configuration choices encode a different task, lose the required interaction, or fail one of the stated display constraints. Microsoft lists this skill in the current PL-300 outline as " Format and configure visuals " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualizations- overview | PL-300 objective: " Format and configure visuals " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

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Explanation:

The selections in the retained answer exhibit are the verified configuration. Performance Analyzer records how long each visual spends on its DAX query, display, and other processing. DAX query view can then run and inspect a copied query to isolate the measure responsible for slow execution. The scenario establishes that you have the performance analyzer results shown in the following exhibit. Guessing from total page time does not isolate the slow visual or measure; the diagnostic must separate DAX query, visual display, and other processing duration. For exam alignment, this is assessed under " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " in the current study guide.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/create-reports/performance-analyzer | PL-300 objective: " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

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Explanation:

What determines the answer is the need to optimize the data model. The retained answer area specifies 1) Hide; 2) Delete. A lookup-to-fact design normally uses one-to-many cardinality and single-direction filtering from the unique key to the repeating key. That creates predictable propagation and avoids an unnecessary ambiguous filter path. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. The current PL-300 study guide places this under the objective " Define a relationship ' s cardinality and cross-filter direction " . It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
| Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Explanation:

The completed mapping shown in the answer area is correct. The case is framed around this condition: you are using power bi desktop to connect to an azure sql database the connection is configured as shown in the following exhibit. use the drop-down menus to select the answer. Power Query should resolve this requirement before the data enters the semantic model. The chosen transformation preserves the required rows and grain while converting the source layout into an analysis-ready table. This directly matches the current study-guide objective " Create and transform columns " . A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

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Explanation:

The retained answer-area mapping contains the correct selections. The key constraint is to design the data model and the relationships for the Customer Details worksheet and the Orders table by using Power BI. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. The relationship must carry filters from the descriptive table to the transaction table through matching keys. Bidirectional filtering is reserved for a demonstrated need because it can introduce multiple active paths. In Microsoft ' s current exam outline, the corresponding objective is " Define a relationship ' s cardinality and cross-filter direction " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
| Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Explanation:
DAX calculations depend on evaluation context. Aggregators, iterators, and filter-modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. Use the selections preserved in the answer exhibit as the supported configuration. The deciding requirement in this question is to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers. An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. This rationale is anchored to the PL-300 objective " Create single aggregation measures " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create single aggregation measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
/study-guides/pl-300

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Explanation:

Row-level security restricts model rows for viewers by applying role filters through active relationships. Role membership belongs in the Power BI service after the role definition is created in the model. The scenario is asking for a way to configure row level security (RLS) to restrict data access for users that have the Viewer permissions. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Implement row-level security roles " . Report filters and hidden visuals are not security controls because users can still query rows available to the semantic model. This keeps service access and operational behavior within the scope requested instead of granting or changing unrelated capabilities.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/rls-guidance | PL-300 objective: " Implement row-level security roles " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300

Explanation:

This is a shaping operation in Power Query. Performing it in the applied steps produces correctly typed, named, and structured columns before loading, which keeps report and model logic focused on analysis. Use the selections preserved in the answer exhibit as the supported configuration. What determines the answer is the need to provide end users with access to the summary statistics about the SalesDetail data. The users require insights on the completeness of the data and the value distributions. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. This rationale is anchored to the PL-300 objective " Evaluate data, including data statistics and column properties " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Evaluate data, including data statistics and column properties " | Study guide: https://learn.microsoft.com/en- us/credentials/certifications/resources/study-guides/pl-300

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