← Professional catalogueMICROSOFT · Power BI Data Analyst Associate
PL-300 — Microsoft Power BI Data Analyst
DatalytIQs independent preparation pathway for Microsoft Exam PL-300, mapped to the current Microsoft study guide and certification requirements.
SYLLABUS
PL-300 skills measured as of April 20, 2026
Published preparation syllabus mapping.
01
PL300-01 · Prepare the data
Official skill area; weighting 25–30%.
02
PL300-02 · Model the data
Official skill area; weighting 25–30%.
03
PL300-03 · Visualize and analyze the data
Official skill area; weighting 25–30%.
04
PL300-04 · Manage and secure Power BI
Official skill area; weighting 15–20%.
PREPARATION PATH
Learn → Practise → Demonstrate → Review
Tutor LMS carries the theory layer. Analytics Lab carries practical activity, evidence and readiness. Python/R execution remains fail-closed until an isolated runner is available.
Academy Course
Course mapping pending; no duplicate course has been created.
Exam Workspace
4 practical activities mapped to the paper.
Evidence pending
Readiness appears only after reviewed practical evidence and competency evidence exist.
ANALYTICS LAB PRACTICALS
Evidence-generating activities
Each activity is DatalytIQs-developed preparation work mapped to the syllabus source. It is not an official KASNEB examination question.
01
PL300-01 · Prepare the data
PL300-LAB-01 · Power Query preparation evidence case
Using a supplied business dataset, document the Power Query steps required to profile, clean, transform and prepare the data. Where native Power BI is used, submit exported evidence; DatalytIQs does not claim to reproduce the Microsoft examination software.
Evidence: transformation log · data-quality evidence · prepared dataset evidence · method note
Mode: evidence onlyAssignment — Power Query preparation evidence case
Complete this DatalytIQs original evidence assignment against the verified PL-300 skill area. Use native Power BI where the task requires proprietary functionality; submit evidence and interpretation rather than treating DatalytIQs as an official Microsoft exam simulator.
Deliverables: transformation log · data-quality evidence · prepared dataset evidence · method note
Marking: technical accuracy 35% · evidence and reproducibility 25% · interpretation and decision value 25% · professional presentation 15%
120 minutes · Pass threshold 70% · contributes to readiness02
PL300-02 · Model the data
PL300-LAB-02 · Semantic model and DAX evidence case
Design an appropriate Power BI semantic model for the supplied scenario. Document relationships, dimensional structure and representative DAX measures, with evidence from native Power BI where used.
Evidence: model diagram · DAX measures · validation evidence · design rationale
Mode: evidence onlyAssignment — Semantic model and DAX evidence case
Complete this DatalytIQs original evidence assignment against the verified PL-300 skill area. Use native Power BI where the task requires proprietary functionality; submit evidence and interpretation rather than treating DatalytIQs as an official Microsoft exam simulator.
Deliverables: model diagram · DAX measures · validation evidence · design rationale
Marking: technical accuracy 35% · evidence and reproducibility 25% · interpretation and decision value 25% · professional presentation 15%
120 minutes · Pass threshold 70% · contributes to readiness03
PL300-03 · Visualize and analyze the data
PL300-LAB-03 · Analytical report and insight case
Produce an analytical report plan and evidence package that demonstrates appropriate visual selection, usability, filtering, analysis and actionable interpretation.
Evidence: report evidence · visual rationale · insight summary · recommendations
Mode: evidence onlyAssignment — Analytical report and insight case
Complete this DatalytIQs original evidence assignment against the verified PL-300 skill area. Use native Power BI where the task requires proprietary functionality; submit evidence and interpretation rather than treating DatalytIQs as an official Microsoft exam simulator.
Deliverables: report evidence · visual rationale · insight summary · recommendations
Marking: technical accuracy 35% · evidence and reproducibility 25% · interpretation and decision value 25% · professional presentation 15%
120 minutes · Pass threshold 70% · contributes to readiness04
PL300-04 · Manage and secure Power BI
PL300-LAB-04 · Workspace and security governance case
Analyse a Power BI governance scenario and specify workspace, semantic-model refresh, access and row-level security controls with justification.
Evidence: governance design · security matrix · RLS rationale · operational recommendations
Mode: evidence onlyAssignment — Workspace and security governance case
Complete this DatalytIQs original evidence assignment against the verified PL-300 skill area. Use native Power BI where the task requires proprietary functionality; submit evidence and interpretation rather than treating DatalytIQs as an official Microsoft exam simulator.
Deliverables: governance design · security matrix · RLS rationale · operational recommendations
Marking: technical accuracy 35% · evidence and reproducibility 25% · interpretation and decision value 25% · professional presentation 15%
120 minutes · Pass threshold 70% · contributes to readinessEVIDENCE & READINESS
Sign in to build an evidence profile
Readiness is evidence-derived, not a completion badge. Reviewed practical scores and competency evidence feed this dashboard.
Data preparation with Power Query
Acquire, inspect, clean and transform data into analysis-ready form.
No reviewed evidence yetPower BI data modelling and DAX
Design semantic models and create appropriate calculations and measures.
No reviewed evidence yetAnalytical reporting and visualization
Build usable analytical reports and derive defensible insights.
No reviewed evidence yetPower BI governance and security
Apply workspace, semantic-model and security controls appropriately.
No reviewed evidence yetAn active paper enrolment is required before learner evidence is recorded.
STATUS CONTROL
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Catalogue inclusion is not a claim of official endorsement or production readiness. DatalytIQs is an independent professional learning and examination-preparation platform.