Microsoft Azure Certification

INTRODUCTION TO CLOUD AND MICROSOFT AZURE CLOUD CMOPUTING

Introduction to Cloud Computing

Fundamentals of Cloud Computing

Cloud Models

Deployment Model: Public, Private, Hybrid

Service Models: IaaS, PaaS, SaaS

Cloud Vendors

Introduction to Microsoft Azure

Azure Services

Azure pricing & analysis

Creation of Azure Account

MODULE 2- IMPLEMENT DATA STORAGE SOLUTIONS (IMPLEMENT NONRELATIONAL DATA STORES)

Implement a solution that Azure Blob Storage, Data Lake Storage Gen1 & Gen2.

Implement data distribution and partitions

Provide access to data to meet security requirements

Implement for high availability, disaster recovery, and global distribution

MODULE 3- IMPLEMENT DATA STORAGE SOLUTIONS (IMPLEMENT RELATIONAL DATA STORES)

Provide access to data to meet security requirements

Implement for high availability, disaster recovery, and global distribution

Implement data distribution and partitions for Azure Synapse Analytics

Implement PolyBase to load data to Synapse Analytics

MODULE 4- IMPLEMENT DATA STORAGE SOLUTIONS (MANAGE DATA SECURITY)

Implement data masking

Encrypt data at rest and in motion

MODULE -5 MANAGE AND DEVELOP DATA PROCESSING (DEVELOP BATCH PROCESSING

SOLUTIONS)

Develop batch processing solutions by using Data Factory and Azure

Databricks

Ingest data by using PolyBase

Implement the integration runtime for Data Factory

Create linked services and datasets

Create pipelines and activities

Create and schedule triggers

Implement Azure Data bricks clusters, notebooks, jobs, and auto scaling

Ingest data into Azure Databricks

MODULE 6- MANAGE AND DEVELOP DATA PROCESSING (DEVELOP STREAMING SOLUTIONS)

Configure input and output

Select the appropriate windowing functions

Implement event processing by using Stream Analytics

MODULE 7- MONITOR AND OPTIMIZE DATA SOLUTIONS (MONITOR DATA STORAGE)

Implement Blob storage monitoring

Implement Data Lake Storage monitoring

Implement Azure Synapse Analytics monitoring

Configure Azure Monitor alerts

Implement auditing by using Azure Log Analytics

MODULE 8- AUTOSCALING - AS

Use Cases of Autoscaling

Important Components of AutoScaling

Configuration of Autoscaling

Launch Configuration and LB Group

Pricing

MODULE 8- MONITOR AND OPTIMIZE DATA SOLUTIONS (MONITOR DATA PROCESSING)

Monitor Data Factory pipelines

Monitor Azure Data Factory

Monitor Azure Synapse Analytics and Optimize

MODULE 9- PROJECT BEST PRACTICES

Data governance and rights man

Account & access management

Network Controls

Dedicated Work Stations

Restrict the Admin & User Address

Monitoring System Security