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Google Cloud Assosiate Engineer Certification with an Extra Boost Course.

Empower Your Cloud Journey with GCP Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
Interactive Skill-building and Educational Assistance
Interview Readiness Guide + Mock Sessions
Placement Assistance Guide

Holistic Learning Pathway

"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

25 hrs

Learning content

Google Cloud Assosiate Engineer

Module 1:Setting up a Cloud Solution Environment

2 Quizzes

1 Project

1.1 Project hierarchy and resource organization.
Based on the requirements for structured and semi-structured data with scalability, real-time analytics, seamless integration with Microsoft technologies
1.2 Identity and Access Management (IAM) roles and permissions.
Configure firewall rules for Azure SQL resources to control access, ensuring secure and restricted connections based on specific IP addresses or ranges, thereby enhancing database security
11.3 Billing and cost management.
To configure authentication in GCP, utilize Azure Active Directory authentication to enhance security and manage access to your Azure SQL Database

Module 2:Planning and Configuring a Cloud Solution

2.1 Creating and configuring Google Cloud projects.
To configure database authentication using platform and database tools, utilize tools such as Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage authentication settings
2.2 Networking fundamentals, including Virtual Private Cloud (VPC) setup.
To configure database authorization using platform and database tools, leverage tools like Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage permissions
2.3 Google Cloud services overview.
To implement Azure AD-based security, integrate Azure Active Directory (Azure AD) with your database to enable authentication using Azure AD credentials, ensuring centralized identity management

Module 3: Deploying and Implementing a Cloud Solution

3.1 Creating and managing virtual machine instances (Google Compute Engine).
To monitor and troubleshoot SQL Server performance, employ tools like SQL Server Management Studio (SSMS), Performance Monitor, and Dynamic Management Views (DMVs) to analyze query execution
3.2 Storage options, including Google Cloud Storage and Google Persistent Disks.
To monitor and troubleshoot Azure SQL Database performance, use Azure Portal, Azure Monitor, and Query Performance Insight. Utilize metrics, performance recommendations
3.3 Data transfer and network services.
To monitor and troubleshoot Managed Instance performance, leverage tools such as Azure Portal, Azure Monitor, and Query Performance Insight
3.4 Load balancing and autoscaling.
Optimize query performance through strategic indexing, efficient query design, proper statistics maintenance, stored procedures usage, query plan analysis, caching, parameterization

Module 4: Ensuring Successful Operation of a Cloud Solution

4.1 Monitoring and logging using Google Cloud Monitoring and Google Cloud Logging.
Reviewing query plans involves analyzing the execution plans generated by the database engine to understand how queries are processed
4.2 Managing and configuring alerts.
Evaluating indexes involves assessing the effectiveness and efficiency of existing indexes in a database
4.3 Troubleshooting common issues.
Evaluate and implement locking and blocking strategies to manage concurrent database access, ensuring efficient transactions,
4.4 Maintaining and updating cloud solutions..
Monitor and trace queries by using tools such as SQL Server Profiler or extended events to capture and analyze query execution details,

Module 5:Configuring Access and Security

5.1 Managing service accounts..
Implement high availability solutions by configuring features such as failover clustering, database mirroring,
5.2 Securing data using encryption techniques.
Implement Azure SQL Database automated backups to ensure regular and automated backup processes are in place
5.3 Identity and Access Management (IAM) best practices.
Implement database replication to create and maintain copies of a database on different servers, enhancing data availability
5.4 Firewall rules and network security.
Implement Always On Availability Groups (AG) to enhance high availability and disaster recovery in SQL Server

Module 6:Deploying Cloud Solutions Using the Command Line

6.1 Working with Google Cloud SDK and command-line tools.
Perform backup and restore operations to safeguard data and facilitate recovery in case of data loss or system failures
6.2 Scripting and automation.
Perform online and offline database restores based on the specific requirements of your database recovery scenario.

Resume building and Mock interviews