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Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Describe core data concepts	25–30%	- Describe roles and responsibilities 1. Data engineer, data analyst, database administrator - Describe types of data 1. File formats 2. Structured, semi-structured, and unstructured data - Describe data workloads 1. Transactional workloads 2. Batch and streaming data 3. Analytical workloads
Identify considerations for relational data on Azure	20–25%	- Describe relational data concepts 1. Normalization 2. Relationships, keys, constraints 3. Query data with SQL - 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 non-relational data concepts 1. Characteristics of NoSQL data 2. Use cases for non-relational data - Describe Azure Cosmos DB 1. Capabilities and features 2. Consistency levels and partitioning 3. APIs and data models - Describe Azure storage services 1. File Storage 2. Blob Storage 3. Queue Storage 4. Table Storage
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. Data lakes and data warehouses 2. Modern data warehouse architecture 3. Data ingestion and processing - Describe Azure analytics services 1. Azure HDInsight 2. Azure Databricks 3. Azure Data Lake Storage Gen2 4. Azure Synapse Analytics 5. Microsoft Fabric - Describe data visualization 1. Data models and reports 2. Power BI capabilities

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DP-900 Test Review | Exam DP-900 Blueprint

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Microsoft Azure Data Fundamentals Sample Questions (Q135-Q140):

NEW QUESTION # 135
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 136
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

NEW QUESTION # 137
What are two characteristics of real-time data processing? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Data is processed periodically
B. Low latency is expected
C. High latency is acceptable
D. Data is processed as it is created

Answer: B,D

Explanation:
Section: Describe core data concepts
Explanation:
Real time processing deals with streams of data that are captured in real-time and processed with minimal latency to generate real-time (or near-real-time) reports or automated responses.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing

NEW QUESTION # 138
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://towardsdatascience.com/choosing-the-right-database-c45cd3a28f77

NEW QUESTION # 139
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 140
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