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CoursesAzureDP-900: Azure Data Fundamentals

Azure

DP-900: Azure Data Fundamentals

An entry-level Microsoft test, the DP-900 certification verifies your fundamental understanding of relational and non-relational data, as well as how these are implemented using Microsoft Azure data services. It is intended for novices with an interest in databases, analytics, and cloud-based data processing.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

What is DP-900: Azure Data Fundamentals?

The goal of the DP-900: Microsoft Azure Data Fundamentals certification is to assist students in comprehending how Azure services are used to store, process, and analyze data in the cloud. It's perfect for anyone who needs to comprehend Azure's data capabilities without having extensive technical knowledge, such as those beginning a career in data-related positions like data engineers, database administrators, or business analysts.

Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

DP-900: Azure Data Fundamentals Course Curriculum

Describe Core Data Concepts

Section 1

understand structured, semi-structured, and unstructured data. Differentiate between transactional (OLTP) and analytical (OLAP) workloads.

Data Types & Formats

2. Data Workloads

Data Processing

Data Roles & Responsibilities

Database Concepts

Relational Data in Azure

Section 2

Learn about relational databases like Azure SQL, PostgreSQL, and MySQL, and how to set them up and run them in the cloud.

Azure SQL Database

Azure SQL Managed Instance

PostgreSQL & MySQL on Azure

Provisioning & Deployment

Non-Relational Data in Azure

Section 3

Look into NoSQL databases like Azure Cosmos DB and Azure Table Storage, including how to use them and how to set them up.

Azure Cosmos DB

Azure Table Storage

Use Cases for NoSQL

Provisioning Non-Relational Services

Modern Data Warehouse Analytics

Section 4

Learn how Azure Synapse, Data Lake, Databricks, and Data Factory make it possible to store, process, and analyze large amounts of data.

Azure Synapse Analytics

Data Lake Storage Gen2

Azure Databricks

Data Integration with Azure Data Factory

Data Ingestion and Processing

Section 5

Find out what batch and streaming data are, and how Event Hubs, Stream Analytics, and Data Factory work with real-time data.

Batch vs Streaming Data

Azure Event Hubs & IoT Hub

Azure Stream Analytics

ETL & ELT

Data Security and Compliance

Section 6

To protect data in Azure, you need to know about authentication, encryption, monitoring, and compliance standards.

Authentication & Authorization

Encryption at Rest & in Transit

Auditing & Monitoring

Compliance Standards

Exploring Power BI

Section 7

Learn how to use Azure data sources with Power BI to make dashboards, reports, and data visualizations.

Power BI Overview

Data Sources & Connectivity

Data Visualization

Power BI Service

Exam Preparation & Practice

Section 8

Look over the exam topics, take practice tests, and use strategies to pass the DP-900 certification.

DP-900 Exam Pattern & Objectives

Practice Questions & Mock Tests

Tips & Best Practices

Key Projects

DP-900: Azure Data Fundamentals

Azure SQL Database Setup & Query

To retrieve, filter, and sort the data, create an Azure SQL Database, load sample data (such as a products table), and then execute simple SQL queries. SQL basics and relational database concepts are reinforced by this project.

Cosmos DB NoSQL Data Store

Create an Azure Cosmos DB account, select the Core SQL API, and add JSON files. After that, execute queries to retrieve and filter data. This enhances knowledge of flexible schema storage and non-relational databases.

Data Analytics Pipeline with Synapse & Power BI

Store analytical data in Azure Synapse Analytics, link it to Power BI, and generate a basic dashboard that displays sales trends. You can practice data visualization, analytical workloads, and ETL/ELT concepts with this.

DP-900: Azure Data Fundamentals – Associate Training Program

Name: DP-900: Azure Data Fundamentals
Rating: 5.0 (4890 reviews)

Category

Associate

Exam Name:

DP-900: Azure Data Fundamentals – Associate

Exam Code:

N.A.

Exam Duration:

N.A.

Exam Format:

N.A.

Passing Score:

N.A.

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Frequently Asked Questions (FAQs)

What is DP-900?

It’s an entry-level Microsoft certification exam that validates your basic understanding of data concepts and how they’re implemented using Microsoft Azure services.

Who should take the DP-900 exam?

Microsoft Azure is great for beginners, students, business users, and professionals who want to learn about cloud data and analytics.

How is the DP-900 exam structured?

There are multiple-choice questions on the exam that cover four main topics: data concepts, relational data, non-relational data, and Azure analytics workloads.

Why is DP-900 useful for a career in data?

DP-900 gives you a solid understanding of data and cloud concepts, which will help you get advanced certifications like DP-203 (Data Engineer) or AI/ML roles in Azure.

Can I prepare for the DP-900 exam through Tech Pratham?

Yes, Tech Pratham has Azure training and study materials that are easy for beginners to use and follow the DP-900 syllabus. This makes it easier to understand basic data concepts and do well on the certification exam.

Does Tech Pratham provide practice tests for DP-900?

Yes, Tech Pratham has mock tests and practice questions that are similar to the real DP-900 exam, which can help you see how ready you are.

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