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Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Describe core data concepts	25–30%	- Describe types of data 1. Structured, semi-structured, and unstructured data 2. File formats - Describe data workloads 1. Transactional workloads 2. Batch and streaming data 3. Analytical workloads - Describe roles and responsibilities 1. Data engineer, data analyst, database administrator
Describe considerations for working with non-relational data on Azure	15–20%	- Describe Azure storage services 1. Queue Storage 2. Blob Storage 3. File Storage 4. Table Storage - 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
Identify considerations for relational data on Azure	20–25%	- Describe Azure relational data services 1. Open-source databases: PostgreSQL, MySQL, MariaDB 2. SQL Server on Azure Virtual Machines 3. Azure SQL Managed Instance 4. Azure SQL Database - Describe relational data concepts 1. Query data with SQL 2. Relationships, keys, constraints 3. Normalization
Describe an analytics workload on Azure	25–30%	- Describe real-time analytics 1. Stream processing concepts 2. Azure Stream Analytics - Describe Azure analytics services 1. Microsoft Fabric 2. Azure Databricks 3. Azure HDInsight 4. Azure Data Lake Storage Gen2 5. Azure Synapse Analytics - Describe data visualization 1. Power BI capabilities 2. Data models and reports - Describe big data and analytics concepts 1. Modern data warehouse architecture 2. Data lakes and data warehouses 3. Data ingestion and processing

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Microsoft Azure Data Fundamentals Sample Questions (Q272-Q277):

NEW QUESTION # 272
Select the answer the correctly completes the sentence.

Answer:

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

NEW QUESTION # 273
Which statement accurately describes data processing?

A. Stream processing is typically used for time-critical operations that require an instant response.
B. Stream processing is typically used for analyzing larger datasets in less time.
C. Batch processing is typically used for scenarios that require continuous, real-time insights from rapidly arriving data.
D. Batch processing requires that data be processed immediately upon arrival.

Answer: A

NEW QUESTION # 274
A bank has a system that manages financial transactions.
When transferring money between accounts. the system must never retrieve a value for the source account that reflects the balance before the transfer and a value for the destination account that reflects the balance after the transfer.
Of which ACID semantic is this an example?

A. atomicity
B. isolation
C. durability
D. consistency

Answer: B

Explanation:
https://learn.microsoft.com/en-us/training/modules/explore-core-data-concepts/5-transactional- data-processing

NEW QUESTION # 275
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 276
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:

NEW QUESTION # 277
......

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