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Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Describe an analytics workload on Azure	25–30%	- Describe data visualization 1. Data models and reports 2. Power BI capabilities - Describe big data and analytics concepts 1. Data lakes and data warehouses 2. Modern data warehouse architecture 3. Data ingestion and processing - Describe real-time analytics 1. Azure Stream Analytics 2. Stream processing concepts - Describe Azure analytics services 1. Azure Data Lake Storage Gen2 2. Azure Databricks 3. Azure HDInsight 4. Azure Synapse Analytics 5. Microsoft Fabric
Topic 2: Describe core data concepts	25–30%	- Describe roles and responsibilities 1. Data engineer, data analyst, database administrator - Describe data workloads 1. Batch and streaming data 2. Transactional workloads 3. Analytical workloads - Describe types of data 1. File formats 2. Structured, semi-structured, and unstructured data
Topic 3: 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. Azure SQL Managed Instance 2. Azure SQL Database 3. SQL Server on Azure Virtual Machines 4. Open-source databases: PostgreSQL, MySQL, MariaDB
Topic 4: 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 storage services 1. Queue Storage 2. File Storage 3. Blob Storage 4. Table Storage - Describe Azure Cosmos DB 1. APIs and data models 2. Consistency levels and partitioning 3. Capabilities and features

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Microsoft Azure Data Fundamentals Sample Questions (Q112-Q117):

NEW QUESTION # 112
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/data-factory/frequently-asked-questions

NEW QUESTION # 113
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 # 114
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:

Explanation:

Box 1: No
The API determines the type of account to create. Azure Cosmos DB provides five APIs: Core (SQL) and MongoDB for document data, Gremlin for graph data, Azure Table, and Cassandra. Currently, you must create a separate account for each API.
Box 2: Yes
Azure Cosmos DB uses partitioning to scale individual containers in a database to meet the performance needs of your application. In partitioning, the items in a container are divided into distinct subsets called logical partitions. Logical partitions are formed based on the value of a partition key that is associated with each item in a container.
Box 3: No
Logical partitions are formed based on the value of a partition key that is associated with each item in a container.

NEW QUESTION # 115
Match the Azure Cosmos DB APIs to the appropriate data structures.
To answer, drag the appropriate API from the column on the left to its data structure on the right. Each API may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/fa q

NEW QUESTION # 116
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 117
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