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Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Describe an analytics workload on Azure	25–30%	- Describe big data and analytics concepts 1. Data lakes and data warehouses 2. Modern data warehouse architecture 3. Data ingestion and processing - Describe data visualization 1. Power BI capabilities 2. Data models and reports - Describe real-time analytics 1. Azure Stream Analytics 2. Stream processing concepts - Describe Azure analytics services 1. Azure Synapse Analytics 2. Microsoft Fabric 3. Azure Data Lake Storage Gen2 4. Azure HDInsight 5. Azure Databricks
Identify considerations for relational data on Azure	20–25%	- Describe relational data concepts 1. Query data with SQL 2. Relationships, keys, constraints 3. Normalization - Describe Azure relational data services 1. Open-source databases: PostgreSQL, MySQL, MariaDB 2. Azure SQL Database 3. SQL Server on Azure Virtual Machines 4. Azure SQL Managed Instance
Describe considerations for working with non-relational data on Azure	15–20%	- Describe Azure storage services 1. Blob Storage 2. Table Storage 3. Queue Storage 4. File Storage - Describe non-relational data concepts 1. Use cases for non-relational data 2. Characteristics of NoSQL data - Describe Azure Cosmos DB 1. APIs and data models 2. Consistency levels and partitioning 3. Capabilities and features
Describe core data concepts	25–30%	- Describe data workloads 1. Transactional workloads 2. Analytical workloads 3. Batch and streaming data - 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

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Microsoft Azure Data Fundamentals Sample Questions (Q144-Q149):

NEW QUESTION # 144
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://www.sqlshack.com/graph-database-implementation-with-azure-cosmos-db-using-the-api/

NEW QUESTION # 145
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 146
For each of the following statements. select Yes if the statement is true. Otherwise, select No.
NOTE Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 147
To complement the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

NEW QUESTION # 148
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Explanation:

Box Ingest: Azure Data Factory
You can build a data ingestion pipeline with Azure Data Factory (ADF).
Box Preprocess & model: Azure Synapse Analytics
Use Azure Synapse Analytics to preprocess data and deploy machine learning models.

NEW QUESTION # 149
......

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