{"id":101916,"date":"2026-09-18T13:00:17","date_gmt":"2026-09-18T07:30:17","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=101916"},"modified":"2026-09-18T13:00:17","modified_gmt":"2026-09-18T07:30:17","slug":"ncp-ain-exam-prep","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/","title":{"rendered":"NVIDIA NCP-AIN Exam Prep &#038; Practice Tests | Whizlabs"},"content":{"rendered":"<!--[if lt IE 9]><script>document.createElement('audio');<\/script><![endif]-->\n<audio class=\"wp-audio-shortcode\" id=\"audio-101916-1\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/mpeg\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NVIDIA_NCP-AIN-exam-prep.mp3?_=1\" \/><a href=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NVIDIA_NCP-AIN-exam-prep.mp3\">https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NVIDIA_NCP-AIN-exam-prep.mp3<\/a><\/audio>\n<p><span style=\"font-weight: 400;\">NVIDIA is generating <strong>$89 billion<\/strong> in revenue from data centre GPUs, according to its <\/span><a title=\"financial reports\" href=\"https:\/\/nvidianews.nvidia.com\/news\/nvidia-announces-financial-results-for-second-quarter-fiscal-2027?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">financial reports<\/span><\/a><span style=\"font-weight: 400;\">. As companies scale the GPU-based infrastructure, the pressure on networks to deliver a high throughput and low latency increases. This demand has made AI networking an important skill for infrastructure professionals, which is where the NCP-AIN (NVIDIA-Certified Professional: AI Networking) becomes relevant.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It assesses if you can deploy, configure, manage, and troubleshoot NVIDIA networking technologies used for AI workloads. The exam also covers areas like Spectrum networking, <\/span><b>InfiniBand<\/b><span style=\"font-weight: 400;\">, Kubernetes integration, troubleshooting, and automation. But what does the exam test, and how can you confidently pass it on your first attempt?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This NCP-AIN exam prep guide covers the certification requirements, exam domains, preparation strategy, and common mistakes to avoid.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ea7e02;color:#ea7e02\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ea7e02;color:#ea7e02\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#What_Is_the_NVIDIA-Certified_Professional_AI_Networking_NCP-AIN_Certification\" >What Is the NVIDIA-Certified Professional AI Networking (NCP-AIN) Certification?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#NCP-AIN_Exam_Domains_and_Weightage\" >NCP-AIN Exam Domains and Weightage<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Skills_You_Need_to_Pass_the_NCP-AIN_Exam\" >Skills You Need to Pass the NCP-AIN Exam<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Design_AI_Networking_Infrastructure_for_GPU_Workloads\" >Design AI Networking Infrastructure for GPU Workloads<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Manage_High-Performance_NVIDIA_AI_Networks\" >Manage High-Performance NVIDIA AI Networks<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Troubleshoot_NVIDIA_AI_Network_Performance\" >Troubleshoot NVIDIA AI Network Performance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Support_AI_Workloads_with_RDMA_and_Kubernetes\" >Support AI Workloads with RDMA and Kubernetes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Automate_NVIDIA_Network_Operations\" >Automate NVIDIA Network Operations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#NCP-AIN_Prerequisites_and_Technical_Skills\" >NCP-AIN Prerequisites and Technical Skills<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#How_to_Prepare_for_the_NCP-AIN_Certification_Exam\" >How to Prepare for the NCP-AIN Certification Exam<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Start_with_NVIDIAs_Official_AI_Networking_Learning_Path\" >Start with NVIDIA&#8217;s Official AI Networking Learning Path<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Learn_NVIDIA_InfiniBand_and_Spectrum-X_Networking\" >Learn NVIDIA InfiniBand and Spectrum-X Networking<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Practice_with_NCP-AIN_Exam_Questions\" >Practice with NCP-AIN Exam Questions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Use_an_NCP-AIN_Exam_Cheat_Sheet_for_Revision\" >Use an NCP-AIN Exam Cheat Sheet for Revision<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Common_NCP-AIN_Exam_Preparation_Mistakes_to_Avoid\" >Common NCP-AIN Exam Preparation Mistakes to Avoid<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#Prepare_for_the_NVIDIA_NCP-AIN_Exam_with_Whizlabs\" >Prepare for the NVIDIA NCP-AIN Exam with Whizlabs<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.whizlabs.com\/blog\/ncp-ain-exam-prep\/#NCP-AIN_Certification_FAQs\" >NCP-AIN Certification FAQs<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_Is_the_NVIDIA-Certified_Professional_AI_Networking_NCP-AIN_Certification\"><\/span><b>What Is the NVIDIA-Certified Professional AI Networking (NCP-AIN) Certification?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The <\/span><b>NCP-AIN certification path <\/b><span style=\"font-weight: 400;\">is at an intermediate level, supporting a career boost for professionals like data centre administrators and network engineers. It validates your ability to deploy and configure data environments using NVIDIA\u2019s advanced <\/span><b>GPU networking<\/b><span style=\"font-weight: 400;\"> technologies to support AI workloads.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The certification focuses on the networking layer behind AI infrastructure. As AI workloads increasingly rely on large numbers of GPUs communicating across distributed systems, networks must deliver results without delays. This makes networking a critical part of keeping the infrastructure performing efficiently.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NCP-AIN validates if you are the right person for the job and possess the practical skills to work with NVIDIA technologies in these environments.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"NCP-AIN_Exam_Domains_and_Weightage\"><\/span><b>NCP-AIN Exam Domains and Weightage<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The online and <\/span><b>proctored exam <\/b><span style=\"font-weight: 400;\">covers six main topics and holds a specific weightage so you can prepare accordingly:<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Topic<\/b><\/td>\n<td><b>Weightage<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">AI Data Centre Design and Optimisation<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">NVIDIA Spectrum Networking<\/span><\/td>\n<td><span style=\"font-weight: 400;\">30%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">NVIDIA InfiniBand Networking<\/span><\/td>\n<td><span style=\"font-weight: 400;\">30%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Kubernetes Integration<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Troubleshooting Tools<\/span><\/td>\n<td><span style=\"font-weight: 400;\">20%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Automation and Configuration<\/span><\/td>\n<td><span style=\"font-weight: 400;\">10%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-101922\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/Key-skills-for-ncp-ain.webp\" alt=\"Key skills for ncp-ain\" width=\"1678\" height=\"768\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/Key-skills-for-ncp-ain.webp 1678w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/Key-skills-for-ncp-ain-300x137.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/Key-skills-for-ncp-ain-1024x469.webp 1024w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/Key-skills-for-ncp-ain-768x352.webp 768w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/Key-skills-for-ncp-ain-1536x703.webp 1536w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/Key-skills-for-ncp-ain-150x69.webp 150w\" sizes=\"(max-width: 1678px) 100vw, 1678px\" \/><\/p>\n<ul>\n<li aria-level=\"1\"><b>AI Data Centre Design and Optimisation: <\/b><span style=\"font-weight: 400;\">This section has the lowest weightage and focuses on the basic fundamentals, such as AI factory networking architecture, rail-optimised topologies, and GPU-to-GPU communication.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>NVIDIA Spectrum Networking: <\/b><span style=\"font-weight: 400;\">It is one of the largest sections, covering your understanding of RoCE, QoS, ECN, PFC, adaptive routing, telemetry, and BGP-EVPN. You must also focus on learning how to use network monitoring and troubleshooting tools such as NVIDIA Air, WJH, and NetQ.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>NVIDIA InfiniBand Networking: <\/b><span style=\"font-weight: 400;\">As a networking professional, you must understand how to manage and configure <\/span><b>InfiniBand<\/b><span style=\"font-weight: 400;\"> networks for AI workloads. Its key focus areas include initial provisioning, high availability, partition keys (PKeys), QoS, and adaptive routing.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Kubernetes Integration: <\/b><span style=\"font-weight: 400;\">Your focus here should be on understanding how to deploy and verify the NVIDIA Network Operator for managing RDMA interfaces and <\/span><b>InfiniBand<\/b><span style=\"font-weight: 400;\"> networks within Kubernetes clusters.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Troubleshooting Tools: <\/b><span style=\"font-weight: 400;\">The module is of significant importance in the exam and focuses on your understanding of diagnosing the issues and finding a solution. You must become familiar with tools like NVIDIA UFM and What Just Happened (WJH).<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Automation and Configuration: <\/b><span style=\"font-weight: 400;\">The domain is about learning how to run the network in an automation mode. You are expected to understand how Spectrum-X switch configurations and Ansible playbooks operate.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Combined, the <\/span><b>NCP-AIN syllabus<\/b><span style=\"font-weight: 400;\"> prepares you to take care of the NVIDIA networking infrastructure used for AI workloads without any delay.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Skills_You_Need_to_Pass_the_NCP-AIN_Exam\"><\/span><b>Skills You Need to Pass the NCP-AIN Exam<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The <\/span><b>NVIDIA AI networking certification <\/b><span style=\"font-weight: 400;\">is particularly beneficial for professionals who want to work with networking infrastructure designed for AI workloads. For this, NVIDIA specifically recommends two to three years of experience in data centres. Therefore, the skills tested in this certification closely match the day-to-day responsibilities of the following roles:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data centre administrators<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Infrastructure administrators<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Network administrators<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Network engineers<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Storage administrators<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">System administrators<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Solution architects<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Therefore, the value of NCP-AIN preparation goes beyond knowing the exam topics. Here are the key skills to learn during your <\/span><b>NCP-AIN exam prep<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Design_AI_Networking_Infrastructure_for_GPU_Workloads\"><\/span><b>Design AI Networking Infrastructure for GPU Workloads<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">AI data centres will have different networking requirements because they work with a large number of GPUs that communicate with each other. You must understand how to design and efficiently scale network architectures to build your <\/span><b>NVIDIA AI infrastructure skills <\/b><span style=\"font-weight: 400;\">and prepare for the job responsibilities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You should be able to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understand how GPUs, switches, BlueField DPUs, and other components fit into an AI networking environment.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Evaluate network architectures and topologies for distributed AI workloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Consider throughput, latency, scalability, and reliability when planning network infrastructure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understand how GPU-to-GPU communication affects network design.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identify how networking infrastructure needs to evolve as AI clusters scale.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These skills will particularly be beneficial when you want to design or deploy a networking architecture.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Manage_High-Performance_NVIDIA_AI_Networks\"><\/span><b>Manage High-Performance NVIDIA AI Networks<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">After deploying an AI network, your next job is to keep it running smoothly. Your understanding moves beyond basic routing knowledge here.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In a practical role, this means being able to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Configure and manage the data centre&#8217;s network infrastructure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Maintain high-throughput and low-latency communication.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Manage traffic and congestion across the network.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Support network requirements for multi-tenant environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Monitor network performance and identify changes that could affect workloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Maintain consistent network performance as infrastructure scales.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Gain a strong foundation in Ethernet, switching, routing, and data centre networking before focusing on the specialised requirements of AI networking.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Troubleshoot_NVIDIA_AI_Network_Performance\"><\/span><b>Troubleshoot NVIDIA AI Network Performance<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Solving errors is a critical part of working with a networking infrastructure. In case of any problem related to the performance of connectivity, the communication between GPUs gets affected, and the workload efficiency might reduce.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You should be comfortable with:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identifying network connectivity and performance problems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Investigating latency, congestion, and packet-loss issues.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Using monitoring and diagnostic information to identify the likely root cause.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verifying connectivity between GPUs, CPUs, storage, and other infrastructure components.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Resolving network issues that affect AI workloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Using appropriate diagnostic commands and monitoring tools rather than relying on trial-and-error configuration changes.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This problem-solving ability is particularly relevant to NCP-AIN because troubleshooting tools account for 20% of the current exam blueprint.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Support_AI_Workloads_with_RDMA_and_Kubernetes\"><\/span><b>Support AI Workloads with RDMA and Kubernetes<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">AI networking does not operate independently. Rather, it runs across various computing and orchestration environments. That\u2019s why it is important that you understand how networking supports those workloads.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You should be proficient in the following:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Support networking requirements for distributed AI workloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Work with RDMA-based communication.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Support AI workloads running in Kubernetes environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verify the networking components used by containerised workloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understand how networking requirements can change when workloads move between different infrastructure environments.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">It gives you a better understanding of how to operate multiple AI workloads across platforms.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Automate_NVIDIA_Network_Operations\"><\/span><b>Automate NVIDIA Network Operations<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">When the operational environment grows, it becomes difficult to manage an AI network manually. Automation helps teams apply configurations and reduce repetitive tasks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For this reason, you should be able to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automate repetitive network configuration tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Standardise configurations across network devices.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use configuration templates and automation tools.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Apply changes consistently across larger environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reduce the possibility of errors caused by manual configuration.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These capabilities connect directly with the broader responsibility of managing AI networking infrastructure at scale.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"NCP-AIN_Prerequisites_and_Technical_Skills\"><\/span><b>NCP-AIN Prerequisites and Technical Skills<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">A basic understanding of how system administration and data centre networking operate will make NCP-AIN preparation easier.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By the end of your learning, ensure you are comfortable with:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data centre networking fundamentals.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ethernet and switching concepts.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Basic routing and network troubleshooting.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Linux administration and command-line operations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">RDMA and high-performance networking concepts.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Network monitoring and diagnostic tools.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These fundamentals align well with NVIDIA&#8217;s recommended AI Networking learning path.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By the end of your <\/span><b>NCP-AIN exam prep<\/b><span style=\"font-weight: 400;\">, you will be able to efficiently:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Design an AI networking environment.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Manage multiple GPUs.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Diagnose network problems early.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Scale operations without delays.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"How_to_Prepare_for_the_NCP-AIN_Certification_Exam\"><\/span><b>How to Prepare for the NCP-AIN Certification Exam<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A solid preparation for the <\/span><b>NCP-AIN certification path <\/b><span style=\"font-weight: 400;\">combines official NVIDIA training and practice tests. Since this certification focuses on testing your practical skills, relying solely on the reading material might not be enough. Let\u2019s look at some of the study materials you can benefit from:<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Start_with_NVIDIAs_Official_AI_Networking_Learning_Path\"><\/span><b>Start with NVIDIA&#8217;s Official AI Networking Learning Path<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Begin your learning with the official <\/span><a title=\"NVIDIA AI networking learning path\" href=\"https:\/\/www.nvidia.com\/en-us\/learn\/learning-paths\/ai-networking\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\"><strong>NVIDIA AI networking learning path<\/strong><\/span><\/a><span style=\"font-weight: 400;\">. It offers self-paced courses that build your foundation in networking technologies. A few instructor-led training sessions are also available so you can learn how to deploy, monitor, troubleshoot, and optimise the networks at scale. Through these courses, you will also learn how:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data moves across systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How to build high-performance networks for distributed workloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How to use NVIDIA technologies efficiently.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Strengthen your foundation first, and then move on to specific networking platforms.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Learn_NVIDIA_InfiniBand_and_Spectrum-X_Networking\"><\/span><b>Learn NVIDIA InfiniBand and Spectrum-X Networking<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Focus on mastering <\/span><strong><a title=\"InfiniBand Network Administration\" href=\"https:\/\/www.nvidia.com\/en-us\/networking\/products\/infiniband\/\" target=\"_blank\" rel=\"noopener\">InfiniBand Network Administration<\/a><\/strong><span style=\"font-weight: 400;\"> as it introduces you to installing, configuring, and managing data centres that need to work at a very low delay.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NVIDIA also recommends Spectrum-X Networking Platform Administration as an instructor-led option for a comprehensive learning of Spectrum-X environments.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Start by learning how to turbocharge GenAI workloads with the <\/span><a title=\"NVIDIA Spectrum-X Networking Platform\" href=\"https:\/\/developer.nvidia.com\/blog\/turbocharging-ai-workloads-with-nvidia-spectrum-x-networking-platform\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\"><strong>NVIDIA Spectrum-X Networking Platform<\/strong><\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NVIDIA also introduces you to platforms like <\/span><strong><a title=\"UFM\" href=\"https:\/\/www.nvidia.com\/en-in\/networking\/infiniband\/ufm\/\" target=\"_blank\" rel=\"noopener\">UFM<\/a><\/strong><span style=\"font-weight: 400;\"> and <\/span><strong><a title=\"NetQ\" href=\"https:\/\/www.nvidia.com\/en-in\/networking\/ethernet-switching\/netq\/\" target=\"_blank\" rel=\"noopener\">NetQ<\/a><\/strong><span style=\"font-weight: 400;\"> that help you build practical monitoring and troubleshooting skills.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Practice_with_NCP-AIN_Exam_Questions\"><\/span><b>Practice with NCP-AIN Exam Questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Once you cover the theoretical learning, it is time to assess your understanding with <\/span><a title=\"NVIDIA NCP-AIN practice tests\" href=\"https:\/\/www.whizlabs.com\/nvidia-certified-professional-ai-networking\/\" target=\"_blank\" rel=\"noopener\" data-schema-attribute=\"about mentions\"><b>NVIDIA NCP-AIN practice tests<\/b><\/a><span style=\"font-weight: 400;\">. <\/span><span style=\"font-weight: 400;\">Whizlabs<\/span><span style=\"font-weight: 400;\"> provides full-length quizzes as a supplement to your preparation. After every test, you can review the incorrect answers and identify weak areas. It will help you return to the relevant resources before attempting another test.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Use_an_NCP-AIN_Exam_Cheat_Sheet_for_Revision\"><\/span><b>Use an NCP-AIN Exam Cheat Sheet for Revision<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Whizlabs also provides cheatsheets to professionals preparing for the NVIDIA certification exam. They provide answers to every important question and<\/span><span style=\"font-weight: 400;\"> are the ideal last-minute prep material.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Common_NCP-AIN_Exam_Preparation_Mistakes_to_Avoid\"><\/span><b>Common NCP-AIN Exam Preparation Mistakes to Avoid<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><b>NCP-AIN exam prep <\/b><span style=\"font-weight: 400;\">required more than a conceptual understanding of networking terms. It is specifically designed for professionals who can work with an AI networking infrastructure and handle multiple GPUs. So, these following mistakes should not be a part of your preparation:<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Relying only on study materials: <\/b><span style=\"font-weight: 400;\">An exam guide and learning resources definitely build your foundation. But they are not a replacement for practice tests. It is recommended that you attempt at least a few tests to strengthen your time management skills and build confidence before attempting the exam.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Treating every topic equally: <\/b><span style=\"font-weight: 400;\">The exam domains hold different weightages. While a few only cover 5% of the exam, some go up to 30%. Therefore, it is vital that you dedicate your study time according to the topic relevancy.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Memorising commands without understanding: <\/b><span style=\"font-weight: 400;\">Knowing a command isn\u2019t sufficient if you cannot figure out the response. It is crucial that you focus on understanding when to use a tool and which information it helps with.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Overlooking the exam blueprint: <\/b><span style=\"font-weight: 400;\">NVIDIA might update its certification content as the technologies and job roles continue to evolve. It is always advisable that you check the latest blueprint and recommended training before starting your preparation.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Prepare_for_the_NVIDIA_NCP-AIN_Exam_with_Whizlabs\"><\/span><b>Prepare for the NVIDIA NCP-AIN Exam with Whizlabs<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">To begin your <\/span><b>NCP-AIN exam prep<\/b><span style=\"font-weight: 400;\">, you require a complete understanding of AI networking concepts and the development of the skills to apply them in a practical context. Once you go through the official NVIDIA learning resources and build your technical foundation, you can also start attempting practice tests. They will help you assess your readiness for the exam.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Whizlabs has introduced NCP-AIN practice tests to help you test your knowledge across different domains. These exam-like papers also work on your time management skills so you don\u2019t leave any question unattempted.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, it is important that you do not treat practice tests as a replacement for learning. Rather, observe the results and identify your weak areas for improvement. Come back to the relevant self-paced or expert-led lessons if you are struggling with any particular topic.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ready to assess your NCP-AIN preparation? Start practising with <\/span><strong><a title=\"Whizlabs\" href=\"https:\/\/www.whizlabs.com\/\" target=\"_blank\" rel=\"noopener\" data-schema-attribute=\"about mentions\">Whizlabs<\/a><\/strong><span style=\"font-weight: 400;\"> and work toward becoming an NVIDIA-Certified Professional in AI Networking.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"NCP-AIN_Certification_FAQs\"><\/span><b>NCP-AIN Certification FAQs<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><b>1. What are the NCP-AIN exam objectives?<br \/>\n<\/b><span style=\"font-weight: 400;\">The NCP-AI Networking certification validates your ability to deploy and configure data centres that use NVIDIA\u2019s advanced networking technologies.<\/span><\/p>\n<p><b>2. Who is the ideal candidate for the NVIDIA-Certified Professional: AI Networking certification?<br \/>\n<\/b><span style=\"font-weight: 400;\">This intermediate-level examination is best suited for data centre administrators, infrastructure administrators, network administrators, network engineers, solution architects, and system administrators.<\/span><\/p>\n<p><b>3. What is the NCP-AIN certification\u2019s retake policy?<br \/>\n<\/b><span style=\"font-weight: 400;\">The NVIDIA retake policy states that you can recertify yourself after the credential has expired by retaking the exam. In case you don\u2019t pass your exam on the first attempt, you have to wait for 14 days before you can retake it.<\/span><\/p>\n<p><b>4. What are the passing marks for the NVIDIA-Certified Professional: AI Networking certification?<br \/>\n<\/b><span style=\"font-weight: 400;\">The NVIDIA certification exams do not have a passing score. You either see a pass\/fail at the end of the exam and on your email. You will also receive the digital credentials within 24 hours and have to log into Credly to accept the certification badge.<\/span><\/p>\n<p><b>5. How long is the NCP-AIN valid for?<br \/>\n<\/b><span style=\"font-weight: 400;\">The NVIDIA credential validity is two years after you receive the digital badge. After that you have to retake the exam to be recertified.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA is generating $89 billion in revenue from data centre GPUs, according to its financial reports. As companies scale the GPU-based infrastructure, the pressure on networks to deliver a high throughput and low latency increases. This demand has made AI networking an important skill for infrastructure professionals, which is where the NCP-AIN (NVIDIA-Certified Professional: AI Networking) becomes relevant. It assesses if you can deploy, configure, manage, and troubleshoot NVIDIA networking technologies used for AI workloads. The exam also covers areas like Spectrum networking, InfiniBand, Kubernetes integration, troubleshooting, and automation. But what does the exam test, and how can you confidently [&hellip;]<\/p>\n","protected":false},"author":441,"featured_media":101921,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[5179],"tags":[5383,5384],"class_list":["post-101916","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nvidia","tag-ncp-ain-exam-prep","tag-ncp-ain-study-guide"],"uagb_featured_image_src":{"full":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide.webp",1536,864,false],"thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-150x150.webp",150,150,true],"medium":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-300x169.webp",300,169,true],"medium_large":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-768x432.webp",768,432,true],"large":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-1024x576.webp",1024,576,true],"1536x1536":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide.webp",1536,864,false],"2048x2048":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide.webp",1536,864,false],"profile_24":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-24x24.webp",24,24,true],"profile_48":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-48x48.webp",48,48,true],"profile_96":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-96x96.webp",96,96,true],"profile_150":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-150x150.webp",150,150,true],"profile_300":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-300x300.webp",300,300,true],"tptn_thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-250x250.webp",250,250,true],"web-stories-poster-portrait":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-640x853.webp",640,853,true],"web-stories-publisher-logo":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-96x96.webp",96,96,true],"web-stories-thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/09\/NCP-AIN-Exam-Prep-NVIDIA-AI-Networking-Guide-150x84.webp",150,84,true]},"uagb_author_info":{"display_name":"Prabhu Subramanian","author_link":"https:\/\/www.whizlabs.com\/blog\/author\/prabhu-subramanian\/"},"uagb_comment_info":0,"uagb_excerpt":"NVIDIA is generating $89 billion in revenue from data centre GPUs, according to its financial reports. As companies scale the GPU-based infrastructure, the pressure on networks to deliver a high throughput and low latency increases. This demand has made AI networking an important skill for infrastructure professionals, which is where the NCP-AIN (NVIDIA-Certified Professional: AI&hellip;","_links":{"self":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/101916","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/users\/441"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/comments?post=101916"}],"version-history":[{"count":6,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/101916\/revisions"}],"predecessor-version":[{"id":101925,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/101916\/revisions\/101925"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media\/101921"}],"wp:attachment":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media?parent=101916"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/categories?post=101916"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/tags?post=101916"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}