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Microsoft DP-900 Exam Syllabus Topics:

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

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Microsoft Azure Data Fundamentals Sample Questions (Q57-Q62):

NEW QUESTION # 57
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation

NEW QUESTION # 58
Match the types of analytics that can be used to answer the business questions.
To answer, drag the appropriate analytics type from the column on the left to its question on the right. Each analytics type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Reference:
https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/
https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/

NEW QUESTION # 59
You are reviewing the data model shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point

Answer:

Explanation:

NEW QUESTION # 60
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 61
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/speech-services/

NEW QUESTION # 62
......

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