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CHEAT SHEET · PL-300

PL-300 Cheat Sheet.
The night-before summary, built like the exam.

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Weighted to the current exam outline·15-minute scanVerified against the official content outline
Written by Every Exam Prep Editorial TeamSource and review policyPublished August 19, 2026
Drill weak spots →
01

Quick facts

the numbers to know before exam day
1h 40m
Time limit
700 of 1000
Passing score
$165
Exam fee
Microsoft
Governing body
02

Full write-up

the complete guide, in prose

The exam at a glance

ItemValue
CredentialMicrosoft Certified: Power BI Data Analyst Associate
LevelIntermediate
Time allowed100 minutes
Question countNot published by Microsoft
Passing score700 or greater (scaled, not a percentage)
FeeTypically US$165, priced by country or region; tax may apply
DeliveryProctored via Pearson VUE; may include interactive components
Retake24 hours after the first attempt; longer for later attempts
Validity12 months, renewed free on Microsoft Learn

Skills measured (as of 20 April 2026)

AreaWeight
Prepare the data25-30%
Model the data25-30%
Visualize and analyze the data25-30%
Manage and secure Power BI15-20%

Storage modes

ModeUse whenTrade-off
ImportData fits in memory and a scheduled refresh is fresh enoughFastest queries; data only as current as the last refresh
DirectQuerySource is huge or must be current at report timeAlways current; query speed depends on the source
CompositeSmall dimensions imported, huge live fact table in DirectQueryBest balance; more design complexity
Live connectionReusing an existing published semantic modelOne source of truth; no local model changes

Power Query essentials

  • Query folding: steps translated into a native source query. Remove columns and filter rows EARLY to preserve it. A greyed-out View Native Query means folding stopped there and the rest runs locally.
  • Merge joins queries side by side on keys; append stacks rows from queries of the same shape.
  • Unpivot turns column-per-month into one row per month; pivot does the reverse; transpose flips the whole table.
  • Reference starts from another query's output so upstream edits flow through; duplicate copies the steps into an independent chain.
  • Parameters centralize values such as file paths. RangeStart and RangeEnd are the reserved names incremental refresh requires.
  • Column quality shows valid, error, and empty shares; column profile and column distribution give statistics.
  • Change Type With Locale fixes regionally formatted dates imported as text.
  • Privacy levels are set per data source and govern whether data may be folded across sources.

Modelling essentials

  • Star schema: narrow fact table, descriptive dimensions, one-to-many, single filter direction. Beats a flattened table on both size and speed.
  • Date table: contiguous dates, marked as the date table. Fact-table dates have gaps and break time intelligence.
  • Role-playing dimension: second relationship inactive, activated per measure with USERELATIONSHIP inside CALCULATE.
  • Measure vs calculated column: measure evaluates at query time in filter context and stores nothing; calculated column materializes per row at refresh and costs memory.
  • Why totals don't add up: a measure is recomputed in the total row's filter context, so a ratio total is total-over-total, not the sum of row ratios.
  • Semi-additive balances need LASTDATE or a closing-balance function — never a plain SUM across dates.
  • DIVIDE for safe division; DISTINCTCOUNT for unique counts; REMOVEFILTERS to clear, KEEPFILTERS to preserve.
  • Shrink a model by removing unused high-cardinality columns first; they compress worst.

Report features and what they are for

  • Drillthrough: navigate to a detail page carrying the selected row's context.
  • Bookmark: save and restore report state — filters, selection, visibility, sort — usually behind a button.
  • Edit interactions: per visual pair, choose filter, highlight, or none.
  • Sync slicers: keep a slicer selection aligned across pages.
  • Field parameters: let a slicer switch which measure or field a visual shows.
  • Visual calculations: written against the visual's result set, ideal for running totals and share of total.
  • Analytics pane: trend lines, forecasts, reference and error bars. Analyze: explain an increase or decrease.
  • Key influencers ranks factors behind an outcome; the decomposition tree drills, and high-value path auto-expands the biggest contributor.
  • Accessibility: set tab order, add alt text, never encode meaning in color alone.
  • Paginated report for fixed-layout printing; phone view for mobile layout; automatic page refresh for DirectQuery wall displays.

Manage and secure

  • Workspace roles: Viewer consumes; Contributor publishes and edits; Member also shares and adds lower roles; Admin manages everything including users.
  • Row-level security: DAX filter in a role, members assigned in the service. Defining a role in Desktop filters nobody until members are added.
  • Report filters hide, RLS restricts. If the requirement is security, it is RLS.
  • Gateway: required for the service to reach on-premises sources for refresh or DirectQuery.
  • App: the way to distribute curated content read-only to a large audience without granting edit rights.
  • Build permission: lets other authors create reports on a shared semantic model.
  • Endorsement (Promoted, Certified) signals quality; certification is restricted to designated reviewers. Sensitivity labels signal confidentiality and persist into exports.
  • Data alert fires on a dashboard card, gauge, or KPI tile at a threshold; subscription emails a snapshot on a schedule.
  • Lineage view maps upstream and downstream dependencies before a breaking change.
  • Shared capacity caps daily scheduled refreshes; dedicated capacity raises the ceiling.

Frequently asked questions

Which facts on this sheet matter most on exam day?

The four skill weights and the storage-mode table. Three quarters of the exam is preparing, modelling, and visualizing, and a large share of the scenario questions resolve to choosing Import, DirectQuery, or a composite model for a stated requirement. The 700 cut score and the 100-minute limit are worth knowing but do not change how you answer.

Why is there so much on managing and securing Power BI?

Because it is 15 to 20 percent of the exam and it is the section experienced report builders most often fail. Workspace roles, apps, build permission, gateways, endorsement, sensitivity labels, and row-level security are not hard, but almost none of them come up in day-to-day report work.

Is this sheet current with the latest exam version?

It reflects the skills measured that took effect on 20 April 2026. Microsoft refreshes exam objectives periodically and publishes a change log showing what moved, and localized versions of the exam follow the English version by about eight weeks, so verify against the official study guide close to your test date.

What is the most common avoidable mistake candidates make?

Registering with a work or school account. Microsoft warns that exam records tied to an organizational account are lost and unrecoverable if you leave that organization. The second is letting the credential lapse: it expires after 12 months, and renewal is a free assessment on Microsoft Learn, so a lapse converts something free into another US$165 exam.

Sources

  1. 1.Microsoft Certified: Power BI Data Analyst Associate — Exam PL-300Microsoft Learn (accessed Aug 19, 2026)
  2. 2.Study guide for Exam PL-300: Microsoft Power BI Data AnalystMicrosoft Learn (accessed Aug 19, 2026)
  3. 3.Microsoft Certifications — Exam frequently asked questionsMicrosoft Learn (accessed Aug 19, 2026)

Official sources

Primary documents used to verify the exam details shown on this page.

Last verified against the official exam content outline: