Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

⚡Get Extra 10% OFF our Practice Exams + eBook Bundle for as low as $14.84 ONLY!

Cloud Computing

Home » Cloud Computing

Career Shift to Cloud Engineering: The Skills I’m Learning First

2025-09-20T12:04:51+00:00

When I first decided to shift my career to cloud engineering, I had zero tech background. I didn’t study IT, didn’t know programming, and felt completely lost when terms like Linux, Python, SQL, and GitHub started popping up everywhere. At first, I even questioned whether I could really do this. But here’s the truth: you don’t need to be a genius to learn cloud engineering. You just need curiosity, consistency, and the right tools to practice hands-on. For me, two resources made all the difference: TechKubo, which offers browser-based playgrounds for Linux, Python, and SQL, and Tutorials Dojo, which provides [...]

Career Shift to Cloud Engineering: The Skills I’m Learning First2025-09-20T12:04:51+00:00

The AWS AI Ripple: Compute, Services, and Generative Intelligence

2025-09-12T09:08:43+00:00

In 2006, building AI required a PhD and a million-dollar lab. In 2024, it requires a laptop and a $5 AWS credit. Before, training a neural network was something only elite research labs with specialized hardware could accomplish. Now, anyone with curiosity and an internet connection can spin up AI models rivaling what Fortune 500 companies built just five years ago. That transformation was driven by Amazon Web Services (AWS) through three strategic waves of innovation: Compute Foundation, AI as a Service, and Generative Intelligence. The AWS AI Ripple. While most tech giants built AI for themselves, AWS built the [...]

The AWS AI Ripple: Compute, Services, and Generative Intelligence2025-09-12T09:08:43+00:00

Amazon SageMaker Clarify

2025-08-29T07:18:48+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 Clarify2025-08-29T07:18:48+00:00

Amazon DataZone

2025-08-15T18:27:14+00:00

Amazon DataZone Cheat Sheet Amazon DataZone is a fully managed data management service by AWS. Facilitates cataloging, discovery, sharing, and data governance across AWS, on-premises, and third-party sources. Enables organizations to implement a data mesh architecture, promoting decentralized data ownership and self-service analytics. Integrates seamlessly with AWS services like Amazon Redshift, Amazon Athena, AWS Glue, and AWS Lake Formation. Features Business Data Catalog: Organizes data assets within the business context, making them easily discoverable. Data Products: Groups related data assets into cohesive units for specific business use cases, simplifying access and management. Automated Metadata Generation: Utilizes large language models (LLMs) [...]

Amazon DataZone2025-08-15T18:27:14+00:00

Amazon Data Firehose

2025-08-15T18:25:17+00:00

Amazon Data Firehose Cheat Sheet Easily stream real-time data to AWS destinations without custom applications. Adjusts resources dynamically to match data volume. AWS Lambda supports data format conversion (e.g., Parquet, ORC) and custom transformations. Works seamlessly with Amazon S3, Redshift, OpenSearch, Splunk, and third-party HTTP endpoints. Features Real-Time Data Delivery: Streams data with minimal latency to multiple destinations. Data Buffering: Configurable buffer sizes and intervals to control data flow. Compression & Encryption: Supports GZIP and Snappy compression; integrates with AWS KMS for encryption. Monitoring & Alerts: Amazon CloudWatch metrics and alarms monitor delivery stream health. Dynamic Partitioning: Organizes data into [...]

Amazon Data Firehose2025-08-15T18:25:17+00:00

AWS Clean Rooms

2025-08-15T18:23:30+00:00

AWS Clean Rooms Cheat Sheet AWS Clean Rooms provide a secure, privacy-enhanced collaboration environment for analyzing shared datasets without exposing underlying data. Allows fast collaboration setup with minimal configuration, enabling users to analyze datasets where they reside (AWS or Snowflake). No need to move or extract data for collaborative analysis. Features Fast Setup: Use AWS Management Console or API to create collaboration spaces in minutes. Zero‑ETL Data Collaboration: Analyze data without transferring it from AWS or Snowflake. Privacy Controls: Differential Privacy: Protects against re-identification by obfuscating outputs. Cryptographic Computing: Keeps data encrypted during use and processing (C3R). Role-Based Access: Control [...]

AWS Clean Rooms2025-08-15T18:23:30+00:00

Your First “Hello World” on the Cloud with Beam

2025-08-14T07:21:43+00:00

Get your laptop or PC ready since we'll be making your computer send its first "Hello World" message from the cloud. Woot woo~ It won’t be AWS today, neither Azure nor Google Cloud Platform, but… Beam! (only if you’ve ever heard of it) So Beam connects the code you write on your local machine to the servers in the cloud. You get to write standard Python, but when you're ready to run it, Beam sends it to a remote server to do the nitty-gritty work. It handles all the complicated cloud setup for you, so you can focus on what [...]

Your First “Hello World” on the Cloud with Beam2025-08-14T07:21:43+00:00

Amazon Cloud Directory

2025-08-14T10:09:33+00:00

Amazon Cloud Directory Cheat Sheet Amazon Cloud Directory is a fully managed, cloud-native directory service that handles complex hierarchical data structures, such as organizational charts, device registries, etc. Supports directories with hundreds of millions of objects and relationships, making it ideal for large organizations. You can design custom schemas for your specific needs and share schemas across multiple applications. No need for manual server management or scaling. AWS handles everything. Use hierarchical structures with flexible facets and attributes to organize data in a way that best fits your application. Features Multi-Dimensional Hierarchies: Create complex, multi-level hierarchies spanning dimensions like location, [...]

Amazon Cloud Directory2025-08-14T10:09:33+00:00

AWS Entity Resolution

2025-08-14T10:35:00+00:00

AWS Entity Resolution Cheat Sheet AWS Entity Resolution is a fully managed service that helps organizations match, link, and enhance records across various customer, product, business, or healthcare data sources. It automates data integration by resolving duplicates and merging fragmented records. The service offers rule-based, machine learning-powered, and third-party matching techniques, ensuring high-quality, unified datasets. It also supports data encryption for security and compliance. Improving data quality enables better decision-making, enhanced customer profiles, and streamlined operations. Features Minimized Data Movement: Reads data where it resides (e.g., S3), reducing unnecessary data transfers. Flexible Data Input & Schema Mapping: Supports up to [...]

AWS Entity Resolution2025-08-14T10:35:00+00:00

Amazon DevOps Guru

2025-08-13T17:40:34+00:00

Amazon DevOps Guru Cheat Sheet Amazon DevOps Guru is a fully managed service that improves application performance and availability. Automates the detection and analysis of operational issues. Removes the burden of manual monitoring by identifying anomalies and generating actionable recommendations. Uses machine learning to analyze application metrics, logs, and events. Detects deviations from normal behavior to identify potential problems. Provides both reactive insights for current issues and proactive insights to help prevent future incidents. Notifies users when a potential problem is identified. Provides intelligent guidance to accelerate resolution. Features ML-Driven Insights: Detects anomalies across logs, metrics, events, and traces. Proactive + [...]

Amazon DevOps Guru2025-08-13T17:40:34+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!