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  PCCSE: Prisma Certified Cloud Security Engineer The Prisma Certified Cloud Security Engineer (PCCSE) certification validates the knowledge, skills and abilities required to onboard, deploy and administer all aspects of Prisma Cloud. Individuals with the PCCSE certification will have demonstrated in-depth knowledge of Palo Alto Networks Prisma Cloud technology and resources . Certification Objectives The cloud has changed all aspects of application development lifecycles. The Prisma Cloud platform offers the industry’s broadest security and compliance coverage—for applications, data, and the entire cloud native technology stack—throughout the development lifecycle and across multi- and hybrid cloud environments. The certification objectives cover Prisma Cloud, Prisma Cloud Enterprise, and Prisma Cloud Compute. Palo Alto Networks Certifications not only benefits organizations, but also benefits the individuals by showcasing their knowledge of the Palo Alto Network...

  Introduction The ServiceNow Certified Implementation Specialist – Application Portfolio Management (APM) Exam Specification defines the purpose, audience, testing options, exam content coverage, test framework, and prerequisites to become Certified Implementation Specialist – APM certified. Exam Purpose The Certified Implementation Specialist – Application Portfolio Management exam certifies that a successful candidate has the skills and essential knowledge to contribute to the configuration, implementation, and maintenance of ServiceNow Application Portfolio Management application including associated reports, portals, and integrations with other applications. Exam Audience The Certified Implementation Specialist – Application Portfolio Management exam is available to ServiceNow customers, partners, employees, and others interested in becoming a ServiceNow APM implementer. Exam Preparation Exam questions are based on official ServiceNow training materials, the...

  Candidates for Exam AI-102 should have subject matter expertise building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Candidates for this exam should be proficient in C#, Python, or JavaScript and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure. They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles. Beta exams are not scored immediately because we are gathering data on the quality of the questions and the exam. Learn more about the value and importance of beta exams. Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate Related exams: none Important: See details Go to Certification Dashboard Exam...