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The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:
You have at least one year of experience using Power BI Desktop.
You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.
You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.
You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.
Microsoft Power BI Data Analyst Certification Exam is one of the most popular certification exams in the market. However, most candidates don't pass it on their first attempt. The reasons for this are many, but the most common ones are not having enough time to prepare, not knowing where to start and what to study, or not having access to quality learning materials. To help you overcome these obstacles and pass Microsoft Power BI Data Analyst Certification Exam easily, our experts have created a comprehensive Microsoft PL-300 Dumps that will give you everything you need to know to pass Microsoft Power BI Data Analyst Certification Exam quickly and efficiently.
This study guide contains everything you will need to have a deep understanding of this certification and take it with confidence. Our experts have taken great care in creating this study guide by using only high-quality resources available on the internet. Our goal is to help you understand each concept so that when taking the exam, there will be no surprises that throw off your momentum or cause you any stress during your preparation or while taking the exam itself.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Power BI Data Analyst |
| Exam Number: | PL-300 |
| Passing Score: | 700 (out of 1000) |
| Exam Price: | USD 165 |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Data Analyst Associate Microsoft Certified: Power Platform Associate |
| Certificate Validity Period: | 12 months |
| Available Languages: | Italian, French, Chinese (Simplified), Spanish, German, Russian, Indonesian, Chinese (Traditional), Arabic (Saudi Arabia), English, Korean, Japanese, Portuguese (Brazil) |
| Exam Duration: | 180 minutes |
| Exam Format: | Simulation, Case studies, Multiple choice (single/multiple response), Performance-based, Drag and drop |
| Recommended Training: | Microsoft Official Course: PL-300T00 Microsoft Learn - PL-300 Learning Path |
| Exam Registration: | Microsoft Learn - Schedule Exam Pearson VUE Registration |
| Sample Questions: | Microsoft PL-300日本語 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300 |
| Section | Weight | Objectives |
|---|---|---|
| Prepare the data | 25-30% | - Get or connect to data
|
| Manage and secure Power BI | 15-20% | - Deploy and distribute content
|
| Visualize and analyze data | 25-30% | - Create reports and dashboards
|
| Model the data | 25-30% | - Optimize model performance
|
次の表に示すセマンティックモデルをホストするPower BIテナントをお持ちです。
あなたには以下の要件があります。
個人識別情報(PII)を含むレポートのエクスポートは防止されなければならない。
財務上の意思決定に使用されるデータは、使用前に審査および承認を受ける必要があります。
以下の各記述について、正しい場合は「はい」を選択してください。そうでない場合は「いいえ」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:
The scenario establishes that you have the following requirements:; The export of reports that contain Personally Identifiable Information (PII) must be prevented.; Data used for financial decisions must be reviewed and approved before use. The selections in the retained answer exhibit are the verified configuration. Sensitivity labels and related classifications communicate handling requirements on Power BI items with minimal visual redesign. They are intended for identifying and governing sensitive business information. Visual formatting or RLS can limit views but does not attach the information-classification and downstream handling signal supplied by a sensitivity label. The current PL-300 study guide places this under the objective " Apply sensitivity labels " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/enterprise/service-security-sensitivity- label-overview | PL-300 objective: " Apply sensitivity labels " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300
Power BI のデータモデルがあり、製品の売上を毎回分析しています。このデータモデルには、次のテーブルが含まれています。
これらのテーブル間には、一対多の関係が存在する。
データモデルの自動日付/時刻オプションが有効になっています。
データモデルのサイズを縮小しつつ、月別および四半期別の製品売上分析機能を維持する必要があります。
どの2つの行動をとるべきですか?
Correct Answer: B,D 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
Power BIのセマンティックモデルには、「Dim Location」と「Fact Deliveryes」という2つのテーブルが含まれています。これらのテーブル間の関係は、次の表に示すように構成されています。
このモデルには、以下の式で表される指標が1つ含まれています。
配達件数 = COUNTROWS( ' fact 配達件数 ' )
Correct Answer:

Explanation:
The completed mapping shown in the answer area is correct. The case is framed around this condition: you have a power bi semantic model that contains two tables named dim location and fact deliveries. the relationships between the tables are configured as shown in the following table. Cardinality describes uniqueness on each side of a relationship; cross-filter direction controls how filters travel. Both settings must match the model grain or totals and security filtering can become unreliable. This directly matches the current study-guide objective " Define a relationship ' s cardinality and cross-filter direction " . The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path.
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
Table1 という名前のテーブルを含む Power BI セマンティック モデルがあります。Table1 には次の列が含まれています。
ウェブサイト名
* URL
表形式のビジュアルを含むレポート「Report1」を作成する必要があります。ソリューションは以下の要件を満たす必要があります。
* ウェブサイト名を表示する
* ユーザーがウェブサイト名を選択することで、ウェブサイトのURLに移動できるようにします。
何を使うべきでしょうか?
Correct Answer: A 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
Power Query エディターを使用して、「最大気温」という名前の列のデータをプレビューしています。列の統計情報と値の分布は、次の図に示されています。
図に示された情報に基づいて、各記述を完成させる選択肢をドロップダウンメニューを使用して選択してください。
注:正解ごとに1ポイントが加算されます。
Correct Answer:

Explanation:
Suggested answer:
The retained answer-area mapping contains the correct selections. The required outcome is to interpret the Column statistics and Value distribution shown for Max Temp. A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. Column profile and column distribution expose value frequency, distinct and unique counts, errors, empty values, and statistics for the selected field. Those diagnostics answer a data-quality question without changing the source values. In Microsoft ' s current exam outline, the corresponding objective is " Evaluate data, including data statistics and column properties " . This keeps the query output reproducible at refresh and leaves the semantic model with the grain and schema required by the report.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/data-profiling-tools | PL-300 objective: " Evaluate data, including data statistics and column properties " | Study guide: https://learn.
microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
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