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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of semi-structured data
  • 2. Describe features of structured data
  • 3. Describe features of unstructured data
- Identify options for data storage
  • 1. Describe common formats for data files
  • 2. Describe types of databases
Topic 2: Describe an analytics workload on Azure25-30%- Describe Azure data analytics services
  • 1. Describe Azure Databricks
  • 2. Describe Microsoft Fabric
  • 3. Describe Azure HDInsight
  • 4. Describe Azure Synapse Analytics
  • 5. Describe Azure Data Factory
  • 6. Describe Azure Stream Analytics
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI tools and workflow
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI
- Describe analytics concepts
  • 1. Describe data warehousing
  • 2. Describe transactional workloads
  • 3. Describe ETL and ELT processes
  • 4. Describe analytical workloads
Topic 3: Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
- Describe relational Azure data services
  • 1. Describe Azure SQL family of products
  • 2. Describe SQL Server on Azure Virtual Machines
  • 3. Describe Azure Database for PostgreSQL
  • 4. Describe Azure Database for MariaDB
  • 5. Describe Azure SQL Managed Instance
  • 6. Describe Azure Database for MySQL
  • 7. Describe Azure SQL Database
Topic 4: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
- Describe non-relational Azure data services
  • 1. Describe Azure File storage
  • 2. Describe Azure Blob storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure Table storage

Microsoft Azure Data Fundamentals (DP-900日本語版) Sample Questions:

柔軟なスキーマをサポートし、データを JSON ファイルとして保存し、エンティティのすべてのデータを同じドキュメントに保存する非リレーショナル データ ストアのタイプはどれですか?

  • A. 円柱状
  • B. 時系列
  • C. グラフ
  • D. ドキュメント
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

口座への入金や口座からの出金を行う銀行アプリケーションがあります。
これはどのタイプのソリューションの例ですか?

  • A. オンライン分析処理 (OLAP)
  • B. 抽出、変換、ロード (ETL)
  • C. オンライントランザクション処理 (OLTP)
  • D. データウェアハウス
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

診断分析を実行するときに使用される3つのアクションはどれですか?

  • A. *データの異常を特定する
    *異常関連データを収集する
    *異常を説明する関係と傾向を発見します。
  • B. *データの異常を特定する
    *異常が再発する可能性が高い時期を予測する
    *デシジョンツリーや回帰などの分析ツールを使用します。
  • C. *異常から推論を引き出すために農奴学習ループを適用します。
    *異常が再発する可能性が高い時期を予測する
    *デシジョンツリーや回帰などの分析ツールを使用します。
  • D. *データの異常を特定する
    *機械学習を使用して、大規模なデータセットのパターンを見つけます。
    *異常を説明する関係と傾向を発見します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

ワークロードの種類を適切なシナリオに一致させます。
回答するには、左側の列から適切なワークロードタイプを右側のシナリオにドラッグしてください。各ワークロードタイプは、1回、複数回、またはまったく使用されない場合があります。
注意: 正解ごとに 1 ポイントが加算されます。

Reveal Solution  Discussion  0

Correct Answer:


文を補足するには、回答エリアで適切なオプションを選択してください。

Reveal Solution  Discussion  0

Correct Answer:


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