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Microsoft Azure Data Fundamentals Exam Certification Details:

Number of Questions40-60
Exam CodeDP-900
Schedule ExamPearson VUE
Sample QuestionsMicrosoft Azure Data Fundamentals Sample Questions
Exam NameMicrosoft Certified - Azure Data Fundamentals
Exam Price$99 (USD)
Duration60 mins
Books / TrainingDP-900T00-A: Microsoft Azure Data Fundamentals
Passing Score700 / 1000

Microsoft DP-900日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Real Exam Qty:40–60
Available Languages:Arabic, Japanese, German, Chinese (Traditional), Portuguese (Brazil), Indonesian, Chinese (Simplified), Russian, Spanish, Korean, English, French
Exam Format:Drag-and-drop, Scenario-based questions, Multiple choice, Multiple select
Related Certifications:Azure Database Administrator Associate
Azure Data Scientist Associate
Azure Data Engineer Associate
Exam Duration:60 minutes
Certificate Validity Period:Lifetime
Exam Price:$99 USD
Passing Score:700 / 1000
Recommended Training:DP-900T00: Microsoft Azure Data Fundamentals
Microsoft Learn Free Learning Path
Exam Registration:Certiport (for students/educators)
Pearson VUE
Sample Questions:Microsoft DP-900日本語 Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No prerequisites required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

Career Potential with Microsoft DP-900 Exam

The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

Explain Analytics Workloads on Azure: 25-30%

  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.

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

Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe an analytics workload on Azure25–30%- Describe Azure analytics services
  • 1. Azure Databricks
    • 2. Azure Data Lake Storage Gen2
      • 3. Microsoft Fabric
        • 4. Azure HDInsight
          • 5. Azure Synapse Analytics
            - Describe real-time analytics
            • 1. Stream processing concepts
              • 2. Azure Stream Analytics
                - Describe data visualization
                • 1. Data models and reports
                  • 2. Power BI capabilities
                    - Describe big data and analytics concepts
                    • 1. Data ingestion and processing
                      • 2. Data lakes and data warehouses
                        • 3. Modern data warehouse architecture
                          Topic 2: Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                          • 1. Azure SQL Database
                            • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
                              • 3. Azure SQL Managed Instance
                                • 4. SQL Server on Azure Virtual Machines
                                  - Describe relational data concepts
                                  • 1. Query data with SQL
                                    • 2. Normalization
                                      • 3. Relationships, keys, constraints
                                        Topic 3: Describe considerations for working with non-relational data on Azure15–20%- Describe Azure Cosmos DB
                                        • 1. Capabilities and features
                                          • 2. APIs and data models
                                            • 3. Consistency levels and partitioning
                                              - Describe Azure storage services
                                              • 1. File Storage
                                                • 2. Blob Storage
                                                  • 3. Table Storage
                                                    • 4. Queue Storage
                                                      - Describe non-relational data concepts
                                                      • 1. Use cases for non-relational data
                                                        • 2. Characteristics of NoSQL data
                                                          Topic 4: Describe core data concepts25–30%- Describe types of data
                                                          • 1. Structured, semi-structured, and unstructured data
                                                            • 2. File formats
                                                              - Describe roles and responsibilities
                                                              • 1. Data engineer, data analyst, database administrator
                                                                - Describe data workloads
                                                                • 1. Analytical workloads
                                                                  • 2. Transactional workloads
                                                                    • 3. Batch and streaming data

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

                                                                      Question #1

                                                                      文を正しく完成させる答えを選択してください。

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:

                                                                      See the answer below:
                                                                      Explanation:
                                                                      Answer as below.

                                                                      Question #2

                                                                      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:正しい選択肢は1つにつき1点です。

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Explanation:
                                                                      Box 1: Yes
                                                                      Batch processing refers to processing of high volume of data in batch within a specific time span. It processes large volume of data all at once. Batch processing is used when data size is known and finite. It takes little longer time to processes data.
                                                                      Box 2: Yes
                                                                      Stream processing refers to processing of continuous stream of data immediately as it is produced. It analyzes streaming data in real time. Stream processing is used when the data size is unknown and infinite and continuous.
                                                                      Box 3: No
                                                                      Reference:
                                                                      https://www.geeksforgeeks.org/difference-between-batch-processing-and-stream-processing/

                                                                      Question #3

                                                                      文を正しく完成させる答えを選択してください。

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:

                                                                      See the answer in explanation below.
                                                                      Explanation:
                                                                      Answer below as:

                                                                      Question #4

                                                                      データ用語を適切な説明と一致させてください。
                                                                      回答するには、左側の列から該当する用語を右側の説明欄にドラッグしてください。各用語は、1回使用することも、複数回使用することも、全く使用しないことも可能です。
                                                                      注:正解1つにつき1ポイントが加算されます。

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Explanation:

                                                                      Question #5

                                                                      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:正しい選択肢は1つにつき1点です。

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:



                                                                      Reference:
                                                                      https://www.precisely.com/blog/big-data/big-data-101-batch-stream-processing

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