Author name: Banu Sree Gowthaman

Banu is a passionate cloud connoisseur with a knack for simplifying complex concepts. She specializes in demystifying cloud computing and digital transformation. She creates content that empowers businesses and tech enthusiasts to harness the full potential of the cloud. Her blogs feature innovative solutions in the cloud space, tutorials, and industry updates, making cloud technology accessible to all levels of expertise, from beginners to seasoned professionals.

why is microsoft fabric essential for data analytics

Why is Microsoft Fabric Essential for Data Analytics?

Cloud Computing / By

Data is everywhere, but insights are rare. For a variety of industries, data analysis is an essential tool that helps them clean insightful information from the data to make well-informed decisions. The challenges are also common, from data security and privacy issues to ethical and quality challenges. Read through this blog to know why Microsoft Fabric is a game-changer in the realm of data analytics and why it’s worth paying attention to. The Challenges of Modern Data Analytics in The Data-Driven Era By Understanding the Landscape, the tech community is well aware of how organizations are relying more on data […]

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how does aws lambda support ai inference and model execution

How does AWS Lambda Support AI Inference and Model Execution

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In this blog, you will learn more about AWS Lambda, a powerful serverless computing service that empowers AI inference and model execution without infrastructure management, and a major service used by AWS Certified AI Practitioners. Read through to know more about how it supports AI inference and model executions, serverless architecture, model deployment strategies, scalable AI workloads, and others, with use cases for better understanding. Serverless AI Model Execution AWS Lambda enables serverless AI inference by eliminating infrastructure management while providing auto-scaling, cost efficiency, and seamless integration with AWS AI/ML services. Below is an in-depth look at how AWS Lambda

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how to optimize ml pipelines on aws for ai practitioners

How to Optimize ML Pipelines on AWS for AI Practitioners

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This blog is about optimizing ML pipelines that serve as the foundation for constructing and deploying models at scale; their optimization is key. AWS offers a variety of solutions designed to orchestrate machine learning workflows, equipping organizations with a complete set of tools to simplify and automate their ML processes. As a candidate for the  AWS Certified AI Practitioner (AIF-C01) exam, you should ensure that you master these techniques, which is crucial. Optimizing ML pipelines on AWS There are various considerations steps and processes that can be followed by AI practitioners to effectively optimize ML pipelines on AWS. These include

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how to improve model outcomes with aws ml performance tools

How to Improve Model Outcomes with AWS ML Performance Tools?

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This blog discusses the AWS services and tools that can help improve model performance and outcomes with relevance to AWS Certified Machine Learning Engineer-Associate (MLA-C01) certification. You can automate performance tracking, anomaly detection, and real-time debugging using these tools. Read through this blog to ensure the model remains accurate, reliable, and aligned with business goals, even in dynamic environments. AWS Certified Machine Learning Engineer-Associate (MLA-C01) overview Launched in June 2024,  the AWS Certified Machine Learning Engineer-Associate (MLA-C01) exam, is one of the newest AWS certifications that aligns with the evolving needs of the industry and ML engineers. The MLA-C01 exam

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Conditional Access in Microsoft Entra ID Enhances Security

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In this blog, you will learn about conditional access in Microsoft Entra ID, formerly known as Azure Active Directory, for enhanced security. Overview of Micro Entra ID and Importance of Security in Cloud Environments; know how the implementation results in greater results with the Exam AZ 900 Microsoft Azure Fundamentals. Read through this blog to learn more about Microsoft Azure security best practices. What is Azure AD Conditional Access? Microsoft Entra ID Conditional Access is a feature that allows companies to set access restrictions based on certain criteria and limitations. It improves security by upholding rules and requiring users to

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why use azure key vault for key management data protection

Why Use Azure Key Vault for Key Management & Data Protection

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This blog divides the Azure content into main themes, namely key management, secrets management, certificate management, data security, backup and recovery, and integrations to enhance understanding. Read more to understand the perspective of a Microsoft Certified Professional holding the AZ-900 certification. Key Management  Key management is crucial in ensuring key security from generation up to destruction. The following are the key benefits that Azure Key Vault provides in key management: Key generation. You can generate cryptographic keys using Azure Key Vault for your organization. The term ‘key’ within the context of the Azure terminology refers to any cryptographic keys that

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how sap c02 exam tests fault tolerant system design

How SAP-C02 Exam Tests Fault-Tolerant System Design

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This blog presents how the AWS Certified Solutions Architect Professional (SAP-C02) exam tests your ability to design, develop, and implement fault-tolerant and reliable architecture. To become an AWS solution architect, you must understand the AWS reliability design principles, advanced concepts about designing distributed systems, and other best practices for creating resilient fault-tolerant systems. Fault tolerance in SAP-C02 Exam Domain Fault tolerance is the ability to withstand subsystem failure and maintain availability, without impacting AWS service-level agreement (SLA). The AWS Certified Solutions Architect – Professional (SAP-C02) exam covers fault tolerance extensively, almost in all domains. The exam checks advanced skills in designing optimized

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top aws billing practices every practitioner must know

Top AWS Billing Practices Every Practitioner Must Know

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AWS provides you with options when choosing a service that can spur creativity and productivity, but without the proper procedures in place, navigating the billing complexities can be daunting. In this blog post, we’ll explore essential AWS billing practices every AWS Certified Cloud Practitioner should be aware of to optimize costs and avoid surprises. Learn about AWS pricing models and how the estimation of costs for various AWS services and different pricing structures matters in the long run for cost optimization. Your AWS Billing Dashboard and Features As an AWS-certified cloud practitioner, knowing how to handle your organization’s Finance with

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essential cost management skills for aws sap-co2

What Are Essential Cost Management Skills for AWS SAP-C02?

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In this blog, we’ll explore how the AWS SAP-C02 certification equips you with the knowledge and skills needed to address cloud cost inefficiencies. Recent studies show that up to 30% of cloud service costs are wasted, resulting in unnecessary financial losses and potential risks to business operations. This post will guide you through AWS cost management strategies and how to make the best use of available tools. The course prepares you for a comprehensive cost management process, including: Cost Control in Cloud Solutions Architect Professional exam domain Cost control is a major topic in the Cloud Solutions Architect Professional SAP-C02

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how to pass the aws ai practitioner exam on your first try

How to Pass the AWS AI Practitioner Exam on Your First Try?

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Purpose of this blog is to provide a structured guide for successful exam preparation by providing an overview of the AWS AI Practitioner  covering key concepts to focus on and real test-takers’ strategies for passing the exam on the first attempt Exam Outline and Roadmap to the AWS Certified AI Practitioner The AWS Certified AI Practitioner exam has it’s focus on generative AI technologies, AI/ML, and related AWS services and tools. The primary purpose of the test is to verify a candidate’s basic understanding of generative AI, machine learning, and artificial intelligence concepts, as well as their applications and use cases

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