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| Topic | Details |
|---|---|
Prepare the Data (15-20%) | |
| Get data from different data sources | - identify and connect to a data source - change data source settings - select a shared dataset or create a local dataset - select a storage mode - use Microsoft Dataverse - change the value in a parameter - connect to a data flow |
| Clean, transform, and load the data | - profile the data - resolve inconsistencies, unexpected or null values, and data quality issues - identify and create appropriate keys for joins - evaluate and transform column data types - shape and transform tables - combine queries - apply user-friendly naming conventions to columns and queries - configure data loading - resolve data import errors |
Model the Data (30-35%) | |
| Design a data model | - define the tables - configure table and column properties - design and implement role-playing dimensions - define a relationship's cardinality and cross-filter direction - design a data model that uses a star schema - create a common date table |
| Develop a data model | - create calculated tables - create hierarchies - create calculated columns - implement row-level security roles - use the Q&A feature |
| Create model calculations by using DAX | - create basic measures by using DAX - use CALCULATE to manipulate filters - implement Time Intelligence using DAX - replace implicit measures with explicit measures - use basic statistical functions - create semi-additive measures - use quick measures |
| Optimize model performance | - remove unnecessary rows and columns - identify poorly performing measures, relationships, and visuals - reduce cardinality levels to improve performance |
Visualize and Analyze the Data (25-30%) | |
| Create reports | - add visualization items to reports - choose an appropriate visualization type - format and configure visualizations - use a custom visual - apply and customize a theme - configure conditional formatting - apply slicing and filtering - configure the report page - use the Analyze in Excel feature - choose when to use a paginated report |
| Create dashboards | - manage tiles on a dashboard - configure mobile view - use the Q&A feature - add a Quick Insights result to a dashboard - apply a dashboard theme - pin a live report page to a dashboard |
| Enhance reports for usability and storytelling | - configure bookmarks - create custom tooltips - edit and configure interactions between visuals - configure navigation for a report - apply sorting - configure Sync Slicers - group and layer visuals by using the selection pane - drilldown into data using interactive visuals - export report data - design reports for mobile devices |
| Identify patterns and trends | - use the Analyze feature in Power BI - identify outliers - choose between continuous and categorical axes - use groupings, binnings, and clustering - use AI visuals - use the Forecast feature - create reference lines by using the Analytics pane |
Deploy and Maintain Assets (20-25%) | |
| Manage files and datasets | - identify when a gateway is required - configure a dataset scheduled refresh - configure row-level security group membership - provide access to datasets - manage global options for files |
| Manage workspaces | - create and configure a workspace - assign workspace roles - configure and update a workspace app - publish, import, or update assets in a workspace - apply sensitivity labels to workspace content - configure subscriptions and data alerts - promote or certify Power BI content |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
Microsoft Power BI Data Analyst Certification Exam Reference
The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:
Understanding business context, including organizational strategy and objectives
Identifying sources of data that can contribute to achieving business goals
Developing dashboards that provide actionable insights into business performance
Creating custom data models that support analysis and reporting requirements
The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Power BI Data Analyst |
| Exam Number: | PL-300 |
| Certificate Validity Period: | 1 year (renewable annually via Microsoft Learn assessment) |
| Available Languages: | Chinese (Simplified), Spanish, English, Korean, German, Italian, French, Portuguese (Brazil), Japanese |
| Exam Price: | USD $165 (varies by country/region) |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40-60 (approx.) |
| Related Certifications: | Microsoft Certified: Power Platform Fundamentals (PL-900) Microsoft Certified: Data Analyst Associate |
| Exam Duration: | 100-120 |
| Exam Format: | Case studies, Multiple response, Multiple choice, Drag and drop, Lab simulations |
| Recommended Training: | Power BI Guided Learning Microsoft Learn PL-300 Learning Path |
| Exam Registration: | Pearson VUE Registration Microsoft Certification Portal |
| Sample Questions: | Microsoft PL-300日本語 Sample Questions |
| Exam Way: | Online proctored exam or onsite test center via Pearson VUE |
| Pre Condition: | No mandatory prerequisites, but recommended: 1+ year experience with Power BI and data analysis. |
| Official Syllabus URL: | https://learn.microsoft.com/credentials/certifications/power-bi-data-analyst-associate/ |
ユーザーの苦情を含む CSV ファイルがあります。このファイルには、Logged という名前の列が含まれています。Logged には、各準拠が発生した日時が含まれます。Logged のデータは次の形式です: 2018-12-31 at 08:59。
ログに記録された日付で苦情を分析し、組み込みの日付階層を使用できる必要があります。
あなたは何をするべきか?
Correct Answer: C 🗳️
Explanation: Only visible for Pass4SureQuiz members. You can sign-up / login (it's free).
注:この問題は、同じシナリオを提示する一連の問題の一部です。このシリーズの各問題には、提示された目標を満たす可能性のある独自の解答が含まれています。問題セットによっては、複数の正解がある場合もあれば、正解がない場合もあります。
このセクションの質問に回答すると、後から戻って回答することはできません。そのため、これらの質問は復習画面には表示されません。
Azure SQLデータベースのデータソースから日付テーブルと売上テーブルをインポートするPower BIレポートがあります。売上テーブルには、次の日付外部キーがあります。
; 期日
注文日
; 配送日
3つの日付すべてに基づいて、時系列での売上分析を同時にサポートする必要があります。
解決策:USERELATIONSHIP DAX関数を使用して、売上テーブルと日付テーブル間の非アクティブなリレーションシップに基づいて売上をフィルタリングするメジャーを作成します。
これは目標を達成していると言えるでしょうか?
Correct Answer: A 🗳️
Explanation: Only visible for Pass4SureQuiz members. You can sign-up / login (it's free).
次の表に示すテーブルを含む Microsoft Power BI データ モデルを作成します。
Productsテーブルは、ProductCategoryID列を介してProductCategoryテーブルと関連付けられています。
製品カテゴリー別に売上を分析できることを確認する必要があります。
製品から製品カテゴリへの関係はどのように設定すればよいですか?回答するには、回答欄で適切なオプションを選択してください。
注:正解ごとに1ポイントが加算されます。
Correct Answer:

Explanation:
Cardinality: One-to-many; Cross-filter direction: Single
Cardinality
One-to-many
Cross-filter direction
Single
The scenario is asking for a way to analyze Sales by Product Category through an unambiguous relationship path. Use this configuration: Cardinality: One-to-many; Cross-filter direction: Single. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. 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 current skills outline describes this competency as " 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
注:この問題は、同じシナリオを提示する一連の問題の一部です。このシリーズの各問題には、提示された目標を満たす可能性のある独自の解答が含まれています。問題セットによっては、複数の正解がある場合もあれば、正解がない場合もあります。
このセクションの質問に回答すると、後から戻って回答することはできません。そのため、これらの質問は復習画面には表示されません。
Power Query エディターから、次の図に示すデータのプロファイリングを行います。
IoT GUID列とIoT ID列は、クエリ内の各行に固有のものです。
IoTイベントを時間別、日付別に分析する必要があります。ソリューションはセマンティックモデルのパフォーマンスを向上させるものでなければなりません。
解決策:IoT GUID列を削除し、IoT ID列を残します。
これは目標を達成していると言えるでしょうか?
Correct Answer: B 🗳️
Explanation: Only visible for Pass4SureQuiz members. You can sign-up / login (it's free).
次の表に示すテーブルを含むデータベースから、顧客のトランザクションを分析するためのレポートを作成します。
テーブルをインポートします。
テーブルをリンクするには、どの関係を使用する必要がありますか?
Correct Answer: A 🗳️
Explanation: Only visible for Pass4SureQuiz members. You can sign-up / login (it's free).
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