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How to Catch Multiple Exceptions in Java

Your Java code was humming along smoothly until... BAM! An exception. No problem, you caught it. But wait, there's another. And another. Suddenly, you're juggling exceptions like you’re in the circus. Don't worry, Java's got your back. Java offers three ways to catch multiple exceptions: using multiple catch blocks for different exception types, the multi-catch feature to handle multiple exceptions in a single block, and a catch-all block for general exception handling.

Growing Your Career as a QA Manager | Sunit Bose | #softwaretesting #automationtesting

In this engaging session, Sunit Bose reveals the secrets to growing your career as a QA Manager or Leader. Discover essential skills that set exceptional leaders apart, including team management, effective communication, and strategic test planning.

Understanding AI and Shift Left Testing | Shray Sharma | #generativeai #softwaretesting

In this video, Shray Sharma discusses "AI and Shift Left Testing, Advocating for a Change," exploring how the integration of AI can transform testing practices in alignment with the Shift Left approach. Shray begins by breaking down Shift Left testing, explaining its principles and benefits for improving product quality and development efficiency.

How to Monetize AI APIs: Choosing The Right Metric

Regarding charging for API usage, we usually gravitate towards charging per API call. While this can work for many use cases, it’s not optimal for everyone. This is where choosing the right metric to bill upon and finding a platform that supports it is crucial. In this blog, we will talk about choosing the right metric to bill upon and how to implement it in Moesif. Let’s begin by digging into what a billing metric is and how to decide which one is best to use with your AI APIs and services.

Ensuring Seamless Transactions: Your Guide to Overcoming Payment Testing Complexities

It’s probably the most frustrating issue customers encounter. After all, they took the time to search for a product they wanted to purchase, made it all the way to checkout, and entered their information, only to have the transaction fail. If they’re like most online shoppers, chances are this experience left them frustrated enough to take their business elsewhere.

Build Scalable AI-Enabled Applications with Confluent and AWS

In this video, Confluent and AWS address enterprises' challenges in deploying generative AI and how Confluent Cloud and Amazon Bedrock empower organizations to build scalable, AI-enabled applications. We'll explore how Confluent's comprehensive data streaming platform enables you to stream, connect, and govern data at scale, creating real-time, contextualized, and trustworthy applications that differentiate generative AI.

What's New in Angles for SAP v24.2

Discover the latest features and enhancements in IDL Konsis and IDL Forecast 24.2! This update introduces significant improvements designed to streamline your data insights and forecasting processes. Learn about the Designer Workbench and Platform Data Sharing (PDS). Explore how these updates can transform your workflow and boost productivity. Watch now to unlock the full potential of Angles for SAP 24.2! Stay ahead with the latest advancements in operational management and forecasting. If you found this video helpful, please like, share, and subscribe for more updates and tutorials.

Prioritizing Low-hanging Fruits for an Effective Pilot Test Automation Phase

In this discussion, Alex Martins, VP of Strategy at Katalon, Lucio Daza, VP of Product Marketing, and David DiCocco, a seasoned Software Engineer at System Automation Corp., discuss the importance of prioritizing low-hanging fruits for an effective pilot phase in test automation. Whether you're starting your journey in test automation or looking to refine your strategy, this discussion provides practical tips and strategies to make your pilot phase effective and result-oriented.