Microsoft DP-900 Korean Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Microsoft Azure Data Fundamentals |
| Exam Number: | DP-900 |
| Exam Price: | $99 USD |
| Certificate Validity Period: | Lifetime |
| Real Exam Qty: | 40–60 |
| Passing Score: | 700 / 1000 |
| Exam Format: | Multiple choice, Multiple select, Drag-and-drop, Scenario-based questions |
| Related Certifications: | Azure Database Administrator Associate Azure Data Engineer Associate Azure Data Scientist Associate |
| Exam Duration: | 60 minutes |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian, Arabic, Chinese (Traditional) |
| Recommended Training: | DP-900T00: Microsoft Azure Data Fundamentals
Microsoft Learn Free Learning Path |
| Exam Registration: | Pearson VUE
Certiport (for students/educators) |
| Sample Questions: | Microsoft DP-900 Korean 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 |
What requirements should you fulfill before taking the Microsoft DP-900 exam?
The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.
The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- This is the beta exam, would be available on or around March 31, 2020.
- Type of Questions: This test format is multiple choice.
- Language: English
- Passing score: 700 / 1000
- Length of Examination: 50 mins
- Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
| Describe an analytics workload on Azure | 25–30% | - Describe real-time analytics
- 1. Stream processing concepts
- 2. Azure Stream Analytics
- Describe big data and analytics concepts
- 1. Modern data warehouse architecture
- 2. Data ingestion and processing
- 3. Data lakes and data warehouses
- Describe data visualization
- 1. Power BI capabilities
- 2. Data models and reports
- Describe Azure analytics services
- 1. Azure Data Lake Storage Gen2
- 2. Azure HDInsight
- 3. Azure Databricks
- 4. Microsoft Fabric
- 5. Azure Synapse Analytics
|
| Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
- 1. Query data with SQL
- 2. Normalization
- 3. Relationships, keys, constraints
- Describe Azure relational data services
- 1. Open-source databases: PostgreSQL, MySQL, MariaDB
- 2. Azure SQL Managed Instance
- 3. Azure SQL Database
- 4. SQL Server on Azure Virtual Machines
|
| Describe core data concepts | 25–30% | - 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. Transactional workloads
- 2. Batch and streaming data
- 3. Analytical workloads
|
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure Cosmos DB
- 1. Consistency levels and partitioning
- 2. APIs and data models
- 3. Capabilities and features
- Describe Azure storage services
- 1. Blob Storage
- 2. Queue Storage
- 3. Table Storage
- 4. File Storage
- Describe non-relational data concepts
- 1. Characteristics of NoSQL data
- 2. Use cases for non-relational data
|
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