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Microsoft DP-900 (Microsoft Azure Data Fundamentals) Exam is an entry-level certification exam offered by Microsoft that is designed for individuals who are looking to demonstrate their foundational knowledge of data concepts and how they can be implemented using Microsoft Azure data services. DP-900 Exam is intended for candidates who want to build a career in data and analytics, or for those who are beginning to work with Azure data services and need to validate their understanding of the fundamentals.

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Microsoft DP-900: Microsoft Azure Data Fundamentals exam is designed for individuals who are interested in pursuing a career in data science and data analysis using Microsoft Azure. Microsoft Azure Data Fundamentals certification exam focuses on the fundamental concepts of data storage, management, and processing in the cloud environment. DP-900 Exam is intended for data professionals, business analysts, IT professionals, and developers who want to gain knowledge and skills in working with data on the Azure platform.

Microsoft Azure Data Fundamentals Sample Questions (Q209-Q214):

NEW QUESTION # 209
When you create an Azure SQL database, which account can always connect to the database ?

A. the Azure Active director/ (Azure AO) account that created the database
B. the sa account
C. the Azure Active Directly Azure AD) administrator account
D. the server admin login account of the logical server

Answer: D

Explanation:
When you first deploy Azure SQL, you specify an admin login and an associated password for that login. This administrative account is called Server admin.

NEW QUESTION # 210
Drag and Drop Question
Match the data processing languages to the appropriate real-time analytics services.
To answer, drag the appropriate term from the column on the left to its description on the right.
Each term may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Explanation:
Azure Data Explorer: KQL (Kusto Query Language), which is a proprietary query language specifically designed for Azure Data Explorer. It is used to analyze and query large volumes of structured and unstructured data in real-time.
Azure Stream Analytics: SQL, which is a standard query language for relational databases. It is used to analyze and process high-velocity, real-time streaming data from various sources, such as IoT devices, social media platforms, and other real-time data streams.
Azure Synapse Analytics: SQL and Python. SQL is used to query and analyze structured data stored in Azure Synapse Analytics, while Python can be used for data preprocessing, machine learning, and other data science tasks.

NEW QUESTION # 211
You have a data store that has the structure shown in the following exhibit.

Which type of data store is this?

A. key/value
B. graph
C. object data
D. time series

Answer: B

NEW QUESTION # 212
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:

NEW QUESTION # 213
Hotspot Question
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:
https://docs.microsoft.com/en-us/azure/databricks/scenarios/what-is-azure-databricks
https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-overview
https://docs.microsoft.com/en-us/azure/data-factory/introduction

NEW QUESTION # 214
......

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Microsoft Azure Data Fundamentals Sample Questions (Q209-Q214):

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