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Home » Collections for Nestor Mayagma Jr.

About Nestor Mayagma Jr.

Nestor is a cloud engineer and content creator at Tutorials Dojo. He's been an active AWS Community Builder since 2022, with a growing interest in multi-cloud technologies across AWS, Azure, and Google Cloud. In his leisure time, he indulges in playing FPS games.

GitHub Container Registry

2026-02-02T11:34:17+00:00

Bookmarks Features Setup & Authentication Naming Convention Permissions & Security Common Use Cases GHCR vs Docker Hub GitHub Container Registry Cheat Sheet Store, manage, and distribute Docker & OCI container images. Seamlessly works with GitHub repositories, GitHub Actions, and fine-grained access controls. Supported Formats: Docker Image Manifest V2, Schema 2 Open Container Initiative (OCI) specifications Features You can host and manage container images directly in GitHub. Access can be controlled either by linking to repository permissions or by defining granular package-level permissions. Authentication can be performed using either GITHUB_TOKEN (for workflows [...]

GitHub Container Registry2026-02-02T11:34:17+00:00

AZ-700 Microsoft Azure Network Engineer Associate Exam Study Path

2025-12-19T13:50:04+00:00

Bookmarks Study Materials Azure Services to Focus On Final Remarks The AZ-700 Microsoft Azure Network Engineer Associate certification is designed for network engineers who are responsible for designing, implementing, and managing Azure networking solutions. This role focuses on planning and deploying core network infrastructure, hybrid connectivity, routing, load balancing, and network security to support cloud and hybrid environments. The certification validates skills in configuring virtual networks, implementing secure connectivity, managing traffic, and monitoring and troubleshooting network performance. Candidates are expected to have a strong understanding of networking concepts and experience operating Azure-based or hybrid [...]

AZ-700 Microsoft Azure Network Engineer Associate Exam Study Path2025-12-19T13:50:04+00:00

Automating PII Detection and Redaction with Amazon Comprehend

2026-01-08T08:21:54+00:00

Organizations today are entrusted with enormous amounts of sensitive information. Customer support logs, healthcare records, financial transactions, and even training datasets often contain Personally Identifiable Information (PII) such as names, phone numbers, email addresses, or credit card numbers. Protecting this information is not just a matter of compliance with regulations like GDPR, HIPAA, or PCI DSS. It is also central to maintaining customer trust and reducing the risk of data breaches. Amazon Comprehend, a managed natural language processing (NLP) service, provides a powerful way to automate the detection and redaction of PII. Instead of relying on manual review or custom [...]

Automating PII Detection and Redaction with Amazon Comprehend2026-01-08T08:21:54+00:00

Prevent Unforeseen Azure Costs: Setting Up Automated Slack Alerts for Your Subscription

2025-10-01T08:48:15+00:00

Cloud computing gives companies access to cutting-edge services, flexibility, and scalability. Effective cost management, however, is one of the main challenges to cloud adoption. Despite Azure's robust offerings, businesses risk unexpectedly high costs if they don't have active monitoring. Image generated by Gemini This is where cost monitoring and automated notifications come into play. By proactively tracking cloud expenses and sending cost summaries to communication platforms like Slack, teams can take immediate action, enforce budgets, and maintain financial governance. In this article, we’ll walk through building a cost notifier system that fetches Azure subscription costs, breaks them down by service, and [...]

Prevent Unforeseen Azure Costs: Setting Up Automated Slack Alerts for Your Subscription2025-10-01T08:48:15+00:00

Amazon SageMaker Clarify

2025-12-12T05:19:31+00:00

Bookmarks Key Capabilities Core Components Configuration Components Bias Metrics Overview SHAP Explainability Validate Your Knowledge Amazon SageMaker Clarify Cheat Sheet Amazon SageMaker Clarify is a SageMaker AI feature for detecting bias and explaining model predictions. Supports both pre-training and post-training bias analysis. Provides feature attribution to explain how input features influence predictions. Can monitor deployed models for bias drift and feature attribution drift over time. Key Capabilities Bias Detection Pre-training bias: Analyzes datasets before model training. Post-training bias: Evaluates model predictions for fairness across facets. Supports binary, multiclass, and regression tasks. Interpreting [...]

Amazon SageMaker Clarify2025-12-12T05:19:31+00:00

SC-200 Microsoft Security Operations Analyst Associate Exam Study Path

2025-08-14T02:12:21+00:00

Bookmarks Study Materials Azure Services to Focus On Validate Your Knowledge Final Remarks The SC‑200 Security Operations Analyst Associate certification is designed for Security Operations Analysts who leverage tools like Microsoft Sentinel, Microsoft Defender XDR, Microsoft Defender for Cloud, Microsoft Security Copilot, and third-party security solutions. The role focuses on threat monitoring, investigation, response, and threat hunting across cloud and on-premises environments while collaborating with stakeholders to enhance security posture and define organizational security standards. The exam will measure your skills in the following areas. Manage a security operations environment Configure protections and [...]

SC-200 Microsoft Security Operations Analyst Associate Exam Study Path2025-08-14T02:12:21+00:00

Microsoft Purview

2026-01-21T01:25:23+00:00

Microsoft Purview Cheat Sheet Unified data governance platform that enables organizations to manage data across on-premises, multi-cloud, and SaaS environments. It facilitates the discovery, classification, cataloging, and governance of the enterprise. Integrates with Azure, Microsoft 365, Power BI, and other platforms. Core Capabilities Data Discovery & Classification Automatically scans and classifies data using built-in and custom classifiers. Supports sensitive data types like PII, financial records, and health information. Data Catalog Centralized metadata repository. Enables search and exploration of data assets with lineage and glossary support. Data Map Automatically builds a map of data assets across hybrid environments. Continuously updates via [...]

Microsoft Purview2026-01-21T01:25:23+00:00

Azure OpenAI

2025-07-01T08:41:06+00:00

Azure OpenAI Cheat Sheet Azure OpenAI offers access to OpenAI’s powerful models (e.g., GPT-4o, GPT-4 Turbo, GPT-3.5 Turbo, DALL-E, Whisper) with robust security and compliance for enterprises. Hosted on Microsoft Azure, allows for seamless integration with various Azure services and tools. Key Concepts Model Deployment: You must deploy a model (e.g., gpt-4, gpt-35-turbo) to your Azure resource before using it. Quota Types: Dynamic Quota: Shared pool for flexible consumption. Provisioned Throughput Units (PTUs): Dedicated capacity for predictable performance. Content Filtering: Built-in safety system to detect and block harmful content. Prompt Engineering: Crafting effective prompts to guide model behavior. Supported Models [...]

Azure OpenAI2025-07-01T08:41:06+00:00

What is Area Under the ROC Curve (AUC) in Machine Learning?

2025-07-01T02:38:28+00:00

Area Under the ROC Curve (AUC) Cheat Sheet AUC, short for Area Under the Curve of the Receiver Operating Characteristic (ROC), is a metric that evaluates how well a model can differentiate between different classes. A performance metric primarily used for binary classification models. Ranges from 0 to 1: 1: Perfect model. 0.5: Model performs no better than random guessing. 0: Model inversely ranks positives and negatives. Accurate Outcomes True Positive (TP): The model predicted 1, which matches the actual result. True Negative (TN): The model predicted 0, and the real outcome was also 0. Misclassified Outcomes False Positive (FP): [...]

What is Area Under the ROC Curve (AUC) in Machine Learning?2025-07-01T02:38:28+00:00

Enhancing Bot Development with the Bot Framework Emulator

2025-05-30T10:56:49+00:00

Testing and debugging are must-haves when you build a chatbot that provides instant and intelligent conversation. The Bot Framework Emulator is a powerful desktop application designed to help developers build, test, and debug bots locally before deploying them to production environments. As part of the Microsoft Bot Framework, this tool provides a coherent development experience for bots that spans across platforms such as Chatbots and Virtual Assistants. Developers can use the Bot Framework Emulator to simulate real-world user interactions, gaining an accurate representation of bot behavior and the ability to tweak bot logic until every interaction is seamless, ensuring a smooth and [...]

Enhancing Bot Development with the Bot Framework Emulator2025-05-30T10:56:49+00:00

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