Modeling, DAX, measures, visualizations, Power Query, publishing, row-level security.
Before starting, we run a 1-minute tech check — microphone, ambient noise, connection. If your setup isn't good enough, the test is fully refunded.
Show recruiters you actually know Power BI — star schemas, DAX context functions, VertiPaq tuning and all — with a 15-minute AI oral that goes way beyond a self-declared LinkedIn skill.
The Plume Power BI badge is a 15-minute oral exam conducted by an AI examiner (OpenAI Realtime) that tests your real ability to design, optimize and ship BI solutions with Microsoft Power BI. You'll be asked about concrete topics: star-schema modeling vs uncontrolled snowflakes, writing DAX measures using CALCULATE, SUMX, and context-manipulation functions like ALL, REMOVEFILTERS and KEEPFILTERS, VertiPaq optimization through DAX Studio and column cardinality management, row-level security setup, and report distribution via the Power BI Service. No multiple-choice, no copy-paste: you explain your reasoning, justify your design choices, and defend your trade-offs.
What makes this badge credible is the evaluation mechanism. After your session, Claude Opus reads the full transcript and generates a score from 0 to 100 plus a level (Novice, Proficient, Advanced, Expert) across five weighted dimensions. Unlike Microsoft's PL-300 exam, which rewards memorization, Plume scores your judgment on real scenarios: why you used a bidirectional relationship in one model but avoided it in another, why you steered a client away from Power BI toward plain SQL, how you rescued a slow and broken inherited model. That kind of nuance doesn't fit in a checkbox.
This badge is built for data analysts, BI developers, Power Platform consultants, and data leads who want to signal their Power BI depth on a CV, a LinkedIn profile, or a client proposal. It's also valuable for freelancers pitching competitive projects or for data teams that want an internal benchmark to map skill levels and plan training budgets. If you've shipped Power BI reports to production, worked with Power Query and the Power BI Service, and written more than a handful of CALCULATE measures, you're ready to take the badge.
Here are the concrete dimensions the AI examines during the 15-minute oral.
Designing clean star schemas, structuring fact and dimension tables, avoiding uncontrolled snowflakes, and tuning VertiPaq compression through smart column data types, cardinality reduction, and relationship design choices.
Writing measures with CALCULATE, SUMX, AVERAGEX, and other iterators; understanding filter context vs row context; and using context-modification functions like ALL, REMOVEFILTERS, KEEPFILTERS, and USERELATIONSHIP to get the right numbers.
Cleaning, reshaping and enriching data through the Power Query editor (M language), building reusable dataflows, handling load errors, and leveraging query folding to push work back to the source database.
Configuring static and dynamic RLS roles using USERNAME() or USERPRINCIPALNAME(), testing roles inside Power BI Desktop, and managing access permissions in the Power BI Service workspace.
Choosing the right visual for each use case (matrix vs table, waterfall, decomposition tree), using bookmarks and drillthrough, building custom tooltips, and applying UX best practices that make production reports actually usable.
Deploying to Power BI Service workspaces, managing deployment pipelines, integrating with Teams and SharePoint, connecting to Azure Synapse or Microsoft Fabric upstream, and configuring scheduled refreshes through on-premises data gateways.
Using Performance Analyzer and DAX Studio to identify slow queries, reading VertiPaq storage metrics and execution plans, and refactoring measures or model structure to cut report rendering times.
Knowing when to recommend Power BI and when to steer toward Excel, Tableau, Looker or plain SQL based on actual requirements, and staying current on Microsoft Fabric, Direct Lake, shared semantic models and Copilot in Power BI.
Final scoring is performed by Claude (Anthropic), which reads back the full transcript and applies this weighted criteria grid.
Precision and depth of explanations on DAX measures (CALCULATE, iterators, context functions) and data model design (star schema, relationships, VertiPaq tuning). This is the core of Power BI expertise and the heaviest dimension in your score.
Knowledge of Power Query (M language, query folding, dataflows), row-level security (static and dynamic RLS), connection modes (Import, DirectQuery, Direct Lake) and performance optimization using DAX Studio and Performance Analyzer.
Ability to ground every answer in concrete projects: data volume, business context, architectural decisions made, mistakes encountered and lessons learned. Vague or generic examples pull the score down significantly.
Quality of recommendations: knowing when not to use Power BI, how to position it against Excel, Tableau or Looker, and how to fit Power BI into a broader data stack involving Fabric, Synapse, or other enterprise tools.
Ability to explain complex Power BI concepts (filter context, VertiPaq internals, dynamic RLS) clearly and logically, calibrating the level of detail to whether the question frames a technical or business audience.
A Plume session takes about 20 minutes, from tech check to badge delivery.
Microphone and connection test before starting. The AI confirms your audio is clean. No Power BI account to connect, no .pbix file to share: the entire exam is conversational and browser-based.
The AI examiner asks you to briefly introduce yourself and walk through your most recent or most complex Power BI project: business context, data volume, model structure and what you learned from building it.
The core phase: targeted questions on DAX (CALCULATE, SUMX, ALL, KEEPFILTERS), data modeling (star schema, bidirectional relationships, VertiPaq), Power Query, row-level security, Power BI Service publishing, and integration with Fabric or Azure Synapse. The AI follows up on your answers to probe how deep your understanding really goes.
The examiner probes your judgment: scenarios where you recommended against Power BI, comparisons with Tableau or Looker, and your take on Microsoft Fabric, Direct Lake, semantic models and Copilot inside Power BI.
Claude Opus analyzes the transcript and produces a 0-100 score, a level (Novice to Expert), a detailed per-dimension written report, a private audio recording of your session, and a shareable badge URL.
Your score out of 100 translates into a level a recruiter can grasp at a glance.
You can build basic reports in Power BI Desktop using standard visuals (bar charts, pie charts, cards). You rely on implicit measures and load data from Excel or CSV files, but data modeling, DAX and Power Query are still unfamiliar territory for you.
You design clean star schemas, write DAX measures using CALCULATE and SUM, use Power Query to clean and transform data, and publish reports to the Power BI Service with scheduled refreshes. You're comfortable with static RLS and solid report UX principles.
You're fluent in DAX context functions (ALL, REMOVEFILTERS, KEEPFILTERS, USERELATIONSHIP), you optimize performance using DAX Studio and Performance Analyzer, you implement dynamic RLS, and you connect Power BI to Fabric, Synapse or reusable dataflows. You've shipped multiple business-critical reports to production.
You architect end-to-end BI solutions on Microsoft Fabric with Direct Lake and shared semantic models, tune VertiPaq at the column-type and cardinality level, train teams on advanced DAX, and make informed recommendations on when to use Power BI versus Tableau, Looker or other tools based on technical and organizational constraints.
No degree or years of experience required to take the badge. Here are the profiles it makes the most sense for.
You build Power BI dashboards for finance, marketing or operations teams and want an objective signal of your level on your CV or before interviewing for a senior analyst role.
You deliver Power BI projects at client sites and need a credible proof point to stand out in competitive proposals and on your LinkedIn or freelance profile.
You build complex models, write advanced DAX, and connect Power BI to Azure Synapse or Fabric. The badge validates the technical depth that your job title alone doesn't communicate.
You've learned Power BI through online courses or a bootcamp and want to prove you're job-ready on the features that actually matter in the workplace, beyond a pretty dashboard.
You're hiring or managing a BI team and want to use the badge as an internal benchmark to map real skill levels, structure technical interviews, or identify training gaps across the team.
Where and how your Power BI badge will help you day to day.
You're applying for a Power BI data analyst role at a fast-growing company. Your Plume badge showing 78/100 Advanced level catches the recruiter's attention before the first interview and sets you apart from the ten other applicants who just ticked 'Power BI' on LinkedIn.
A client needs a consultant to rebuild a messy Power BI model. You share your badge URL in your proposal, the client sees you're solid on star-schema design, DAX context functions and Fabric integration, and you land the project without an extra technical test.
You're gunning for a move from junior data analyst to BI lead. The badge gives your manager a concrete, multi-dimensional score — DAX, modeling, Power Query, RLS, technology judgment — that structures the conversation about your growth and readiness.
Your firm is bidding on a Microsoft BI project. You attach your Power BI badge to your skills dossier to certify your level without waiting for a PL-300 certification you haven't sat yet.
You just finished an intensive Power BI training and want to know what you actually retained before hitting the job market. The 15-minute oral surfaces your real gaps in DAX or RLS, and the detailed report hands you a concrete study plan.
A head of data runs the badge across the whole BI team to map actual levels on DAX, modeling and Fabric integration, then uses the results to prioritize training spend and assign projects to the right people.
A few minutes to check you have everything you need.
At the end of your session you don't just get a score — here's everything that awaits you.
You get a precise score out of 100 and an official level (Novice, Proficient, Advanced, Expert) for your Power BI skills, evaluated by Claude Opus across five weighted dimensions including DAX mastery, data modeling and technology judgment.
A written report breaks down exactly what was strong and what can improve: the quality of your DAX measures, the rigor of your data model design, your Power Query usage, RLS setup, and the relevance of your technology trade-off decisions.
The full 15-minute audio of your session is stored securely and accessible only to you. Re-listen to how you explained DAX context, VertiPaq tuning or Fabric integration to sharpen your answers for future interviews.
A unique public link showcases your Power BI score and level in a clean, professional format. Add it to your LinkedIn profile, CV, client proposal or skills portfolio in one click.
Discover related skills you can validate with Plume.
A 15-min oral exam with an AI, a shareable badge for your recruiters.
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