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Microsoft DP-900 Practice Test
Are you ready to explore your self on Microsoft MS-900!!

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About Microsoft DP-900 Practice Test
MICROSOFT DP-900: AZURE DATA FUNDAMENTALS
The
Microsoft DP-900
course is a
comprehensive training program
designed to provide a
foundational understanding of data, data services, and data management
in
Microsoft Azure
. This course also serves as preparation for the
DP-900 certification exam
.
COURSE CONTENT
Participants will gain knowledge in:
Azure Data Services
– Overview of Azure data services, including
Azure Cosmos DB, Azure SQL Database, Azure Database for MySQL, and Azure Database for PostgreSQL
.
Data Storage Options
– Understanding different storage solutions in Azure, such as
Azure Blob Storage, Azure Files, and Azure Disks
.
Data Management
– Exploring key concepts like
data warehousing, data lakes, and data integration
.
Data Governance
– Implementing best practices for
data classification, data retention, and data protection
.
Big Data
– Learning about big data solutions in Azure, including
Azure HDInsight and Azure Databricks
.
Hands-on Lab Exercises
– Practical experience with Azure services through hands-on labs.
Exam Preparation
– Guidance on successfully passing the
Microsoft DP-900 exam
and earning the
Azure Data Fundamentals certification
. The course is delivered through a combination of
lectures, demonstrations, hands-on lab exercises, and practice exams
.
CERTIFICATION EXAM DETAILS
The
Microsoft DP-900 exam
, also known as
Azure Data Fundamentals
, typically consists of
40-60 multiple-choice questions
.
EXAM DURATION AND SCORING
The exam is
timed at approximately 90 minutes
, and the
passing score is around 70%
. However, the exact format, number of questions, and passing score may change over time, so candidates should check the
official Microsoft website
for the most up-to-date information. Successfully passing the
DP-900 exam
demonstrates a solid understanding of
Azure data services and data management
, making it a valuable certification for those seeking to build expertise in cloud-based data solutions.