Design, build, and deploy production-grade Power BI solutions while mastering every exam domain and scenario tested on the Microsoft PL-300 Data Analyst certification.
Skills and outcomes
12 chapters
Establishes the complete landscape of the PL-300 certification by mapping each exam domain to the Power BI product family. Anchors your mental model of how Desktop, Service, Mobile, and Embedded relate to the four scored skill areas so every subsequent chapter is studied with exam intent.
Read ChapterCovers every connector category tested on the exam and the architectural trade-offs between Import, DirectQuery, Live Connection, and Composite models. Learn to select the right storage mode for latency, freshness, and scale requirements that appear as scenario questions on the exam.
Read ChapterSystematic walkthrough of the Power Query Editor and the M formula language as they appear in PL-300 scenarios. Emphasis on query folding, reusable custom functions, and data-quality profiling — the three transformation areas most frequently tested.
Read ChapterBuilds mastery of the star-schema and snowflake-schema patterns that underpin every high-scoring Power BI solution. Addresses relationship cardinality, filter propagation, and date-table requirements that generate the largest cluster of PL-300 modeling questions.
Read ChapterEstablishes the conceptual foundation of DAX every PL-300 candidate must own: the difference between row context and filter context, and how CALCULATE transitions between them. Core aggregation, logical, and text functions are taught through exam-style scenarios.
Read ChapterCovers the advanced DAX patterns that distinguish high scorers on the PL-300 exam: the complete time intelligence function family, ranking, and iterator-based aggregations. Each pattern is paired with the exact business question it answers and the date-table prerequisite it requires.
Read ChapterTranslates Power BI visual capabilities into the design decisions the PL-300 exam tests: choosing the right chart type, configuring slicer interactions, and building navigable multi-page reports. Mobile layout and accessibility requirements round out this heavily weighted domain.
Read ChapterCovers the AI-powered and statistical features in Power BI that account for a growing share of PL-300 questions: Key Influencers, Decomposition Tree, anomaly detection, and Q&A natural language. Learn when each visual answers a business question and how to configure its inputs correctly.
Read ChapterMaps the Power BI Service collaboration model heavily tested on the PL-300 exam: workspace roles, dataset endorsement, app packaging, and dashboard tile configuration. Covers how datasets published to the Service become shared analytical assets consumed by multiple reports across the organisation.
Read ChapterAddresses the security domain of PL-300: static RLS roles, dynamic RLS with USERNAME and USERPRINCIPALNAME, and Object-Level Security for column and table hiding. Microsoft Information Protection sensitivity labels and their effect on downstream consumption complete this chapter.
Read ChapterCovers the end-to-end release management workflow for Power BI solutions using Deployment Pipelines, dataset rules, and XMLA endpoint access. Incremental refresh policy configuration is treated as a required complement to pipeline-managed datasets in the Deploying and Maintaining Assets domain.
Read ChapterCloses the book with the operational and governance skills tested in the final PL-300 domain: diagnosing slow reports, designing aggregations, and monitoring usage across the tenant. Capacity planning, the Activity Log, and data lineage view are treated as production readiness requirements every certified analyst must master.
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