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The most popular data structures for coding interviews

Hacker Earth Developers Blog

You may need to explain how arrays work and how implementing arrays would work in different languages. Apart from explaining these differences from the arrays, there’s one question that most interviews that bring up linked lists will mention—the loops. Also, expect to hear a question or two about the perfect hash function.

Data 241
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AI Automation Testing: A Deep Dive into Katalon Studio’s StudioAssist Feature

Perficient

This blog will explore how StudioAssist can enhance your test automation efforts and provide practical tips for using this feature effectively. StudioAssist has two main features: it generates test script code from the prompt given in plain text and explains code from a test case script. We will dive into each concept one by one.

Testing 52
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Transforming Telco with Trusted AI Everywhere

Cloudera

Trusted AI Everywhere” explained Trusted AI poses significant challenges. Other challenges include the lack of transparency and explainability in AI systems and the need for continuous monitoring and inherent observability to maintain their effectiveness. This is the essence of “Trusted AI Everywhere.”

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Tenable Announces Support for Microsoft Azure Linux: A New Way to Achieve Secure Container Development

Tenable

In this blog, we explain key features of Azure Linux and how Tenable can support the security needs of Microsoft customers. Microsoft Azure Linux is a newly launched container host that provides reliability and consistency from cloud to edge across the Azure Kubernetes Service (AKS), AKS-HCI, and Azure Arc products.

Linux 97
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Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

But it requires you to live on the edge. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks. Deploying machine learning (ML) and analytics capabilities at the edge is what makes this possible. . Real-time Demands.

Analytics 115
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What does it take to let ChatGPT manage my Todoist tasks?

Xebia

In this blog, I will show some code snippets to explain what is happening. Sometimes, the updated code does not function as expected and produces an error message. The Thought part is where the LLM can explain its thought process, allowing it to reason about its progress and previous observations.

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#ClouderaLife Spotlight: Manoj Shanmugasundaram – Principal Solutions Engineer

Cloudera

When he isn’t doing that, Manoj works with various functions of the business – from engineering to sales to leadership – helping to achieve team goals and business objectives. He explained that they were working to stream several terabytes of data from hundreds of data sources each day and running real time analytics to detect fraud. .