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microsoft azure data fundamentals dp 900t00 certification

Highly Experienced Subject Matter Instructors

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Latest CompTIA Courseware

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Overview Learning Objectives Who Should Attend Prerequisite Outline Certification

Course Overview

Microsoft Azure Data Engineers expand/optimize data and pipeline
architectures. They also optimize data collection and flow across functional
teams while helping software developers, database architects, data analysts
and data scientists with data initiatives.

The Microsoft Azure Data Fundamentals training covers core data concepts such
as relational, non-relational, big data and analytics, and builds your foundational
knowledge of cloud data services within Azure.

Our accreditation course explores fundamental relational data concepts and relational
database services in MS Azure. It also takes you through Azure storage for non-relational
data, the fundamentals of Azure Cosmos DB, large-scale data warehousing, real-time analytics,

Course Objectives

Explore Core Data Concepts.
Data Roles & Services.
Fundamental Relational Data Concepts.
Relational Database Services in MS Azure.
Azure Storage for Non-relational Data.
Fundamentals of Azure Cosmos DB.
Fundamentals of Large-scale Analytics.
Fundamentals of Real-time Analytics.
Fundamentals of Data Visualization.
Prepare for the DP-900 accreditation exam.

Audience

Individuals who wish to learn the fundamentals of database concepts in a cloud environment.
The ones interested in basic skilling in cloud data services and building foundational knowledge of cloud data services within Azure.
Those willing to earn Microsoft's role-based Azure Data Fundamentals credential.

Prerequisite

•   General knowledge of computing and internet concepts.
•   Experience in using web browsers.
•   Familiarity with basic data-related concepts.

Course Outline

Exploring Core Data Concepts

Identifying common data formats.
Describing options for storing data in files.
Describing options for storing data in databases.
Describing characteristics of transactional data processing solutions.
Describing characteristics of analytical data processing solutions.

Data Roles & Services

Identifying common data professional roles.
Identifying common cloud services used by data professionals.

Relational Data Concept Fundamentals

Identifying characteristics of relational data.
Defining normalization.
Identifying types of SQL statement.
Identifying common relational database.

Relational Database Services in Microsoft Azure

Identifying options for Azure SQL services.
Identifying options for open-source databases in Azure.
Provisioning a database service on Azure.

Azure Storage for Non-relational Data

Describing features/capabilities of Azure blob storage.
Describing features/capabilities of Azure Data Lake Gen2.
Describing features/capabilities of Azure file storage.
Describing features/capabilities of Azure table storage.
Provisioning and using an Azure Storage account.

Azure Cosmos DB Fundamentals

Describing key features/capabilities of Azure Cosmos DB.
Identifying the APIs supported in Azure Cosmos DB.
Provisioning and using an Azure Cosmos DB instance.

Large-scale Analytics Fundamentals

Identifying common elements of a data analytics solution.
Describing key features for data ingestion pipelines.
Identifying common types of analytical data store and related Azure services.
Describing platform-as-a-service (PaaS) data analytics solutions in Azure.
Provisioning Azure Synapse Analytics and using it to ingest, process, and query data.
Describing features of Microsoft Fabric - a software-as-a-service (SaaS) solution for data analytics.
Utilizing Microsoft Fabric for ingesting and analyzing data.

Data Visualization Fundamentals

Describing a high-level process for creating reporting solutions with Microsoft Power BI.
Describing core principles of analytical data modeling.
Identifying common types of data visualization and their uses.
Creating an interactive report with Power BI Desktop.

Real-time Analytics Fundamentals

Comparing batch/stream processing.
Describing common elements of streaming data solutions.
Describing features/capabilities of Azure Stream Analytics.
Describing features/capabilities of Spark Structured Streaming on Azure.
Describing features/capabilities of real-time analytics in Microsoft Fabric.

About the Examination

The 45-minute and 50-questions-long DP-900: Microsoft Azure Data Fundamentals exam is available in multiple languages, including English, Italian, Chinese, Korean, Japanese, French, Spanish, and German.

It measures your ability to describe core data concepts, identify considerations for relational data on Azure, describe considerations for working with non-relational data on Azure, and describe an analytics workload on Azure.

Leads to Microsoft Certified Azure Data Fundamentals accreditation.

Skills Tested
Describing Core Data Concepts
Identifying Considerations for Relational Data on Azure
Describing Considerations for Working with Non-relational Data on Azure
Describing an Analytics Workload on Azure

Weightage
25-30 %
20-25 %
15-20 %
25-30 %

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Corporate Training

Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
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FAQ’s

Is DP-900T00 training meant for advanced data practitioners?

No, Microsoft's Azure Data Fundamentals course is a beginner-level offering for individuals starting to work with data in the cloud.

How are Azure data engineers responsible for the data delivery architecture?

MS Azure data engineers ensure a consistent data delivery architecture is implemented throughout ongoing projects; the data is cleansed, mapped, transformed, and optimized for storage.

What's the hourly duration of DP-900T00 training?

Approx. 8 hours.

Does this course prepare for more than one MS Azure accreditation?

The DP-900T00: Microsoft Azure Data Fundamentals training primarily builds your capabilities for finalizing Microsoft's Azure Data Fundamentals certification. At the same time, it also lays the groundwork for other MS Azure role-based credentials like Azure Database Administrator Associate or Azure Data Engineer Associate.

How many exams are required to complete the Azure Data Fundamentals accreditation?

Only one exam, DP-900: Microsoft Azure Data Fundamentals.

Is it tough to pass the DP-900 exam?

Like many other fundamental exams from Microsoft, it is relatively easy to clear, provided you thoroughly understand the knowledge areas covered.

What's the retirement date for the DP-900 Microsoft Azure Data Fundamentals exam?

Currently, no retirement date has been specified by Microsoft.

Will I get training in sync with all the recent changes in the DP-900 exam content?

Yes, Vinsys, an authorized Microsoft Partner, always brings you the up-to-date learning curriculum.

Does DP-900T00 training provide approved courseware?

Yes, you will get access to the Microsoft Official Courseware (MOC).

Is there an option to customize the DP-900T00 training and choose my desired learning time slots?

You may opt for any of our highly customizable, blended and time-flexible ILVT, online, in-house, interactive face-to-face, eLearning or self-paced solutions.