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Microsoft DP-900 Exam Syllabus Topics:

Topic	Details
Describe core data concepts (15-20%)
Describe types of core data workloads	- describe batch data - describe streaming data - describe the difference between batch and streaming data - describe the characteristics of relational data
Describe data analytics core concepts	- describe data visualization (e.g., visualization, reporting, business intelligence (BI)) - describe basic chart types such as bar charts and pie charts - describe analytics techniques (e.g., descriptive, diagnostic, predictive, prescriptive, cognitive) - describe ELT and ETL processing - describe the concepts of data processing
Describe how to work with relational data on Azure (25-30%)
Describe relational data workloads	- identify the right data offering for a relational workload - describe relational data structures (e.g., tables, index, views)
Describe relational Azure data services	- describe and compare PaaS, IaaS, and SaaS solutions - describe Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines - describe Azure Synapse Analytics - describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL
Identify basic management tasks for relational data	- describe provisioning and deployment of relational data services - describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI) - identify data security components (e.g., firewall, authentication) - identify basic connectivity issues (e.g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls) - identify query tools (e.g., Azure Data Studio, SQL Server Management Studio, sqlcmd utility, etc.)
Describe query techniques for data using SQL language	- compare Data Definition Language (DDL) versus Data Manipulation Language (DML) - query relational data in Azure SQL Database, Azure Database for PostgreSQL, and Azure Database for MySQL
Describe how to work with non-relational data on Azure (25-30%)
Describe non-relational data workloads	- describe the characteristics of non-relational data - describe the types of non-relational and NoSQL data - recommend the correct data store - determine when to use non-relational data
Describe non-relational data offerings on Azure	- identify Azure data services for non-relational workloads - describe Azure Cosmos DB APIs - describe Azure Table storage - describe Azure Blob storage - describe Azure File storage

How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

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Microsoft Azure Data Fundamentals Exam Certification Details:

Exam Price	$99 (USD)
Duration	60 mins
Sample Questions	Microsoft Azure Data Fundamentals Sample Questions
Number of Questions	40-60

Microsoft Azure Data Fundamentals Sample Questions (Q208-Q213):

NEW QUESTION # 208
HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
Answer: ** Explanation:

Section: Describe core data concepts
Explanation/Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl
NEW QUESTION # 209**
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 # 210**
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 # 211**
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 # 212**
Which two Azure services can be used to provision Apache Spark clusters? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.

• A. Azure Databricks
• B. Azure Time Series Insights
• C. Azure HDInsight
• D. Azure Log Analytics

Answer: A,C Explanation:
Section: Describe an analytics workload on Azure
Explanation/Reference:
https://www.sqlshack.com/a-beginners-guide-to-azure-databricks/
NEW QUESTION # 213
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