Juniper JN0-750 Certification Exam Syllabus

JN0-750 Syllabus, JNCIP MistAI Exam Questions PDF, Juniper JN0-750 Dumps Free, JNCIP MistAI PDF, JN0-750 Dumps, JN0-750 PDF, JNCIP MistAI VCE, JN0-750 Questions PDF, Juniper JNCIP MistAI Questions PDF, Juniper JN0-750 VCEA great way to start the Juniper Networks Certified Professional Mist AI (JNCIP-MistAI) preparation is to begin by properly appreciating the role that syllabus and study guide play in the Juniper JN0-750 certification exam. This study guide is an instrument to get you on the same page with Juniper and understand the nature of the Juniper JNCIP MistAI exam.

Our team of experts has composed this Juniper JN0-750 exam preparation guide to provide the overview about Juniper Mist AI, Professional exam, study material, sample questions, practice exam and ways to interpret the exam objectives to help you assess your readiness for the Juniper JNCIP-MistAI exam by identifying prerequisite areas of knowledge. We recommend you to refer the simulation questions and practice test listed in this guide to determine what type of questions will be asked and the level of difficulty that could be tested in the Juniper JNCIP MistAI certification exam.

Juniper JN0-750 Exam Overview:

Exam Name
Mist AI, Professional
Exam Number JN0-750 JNCIP-MistAI
Exam Price $400 USD
Duration 90 minutes
Number of Questions 65
Passing Score Pass/fail (60-70% Approx.)
Recommended Training Automating Juniper Mist AI Enterprise
Exam Registration PEARSON VUE
Sample Questions Juniper JN0-750 Sample Questions
Practice Exam Juniper Networks Certified Professional Mist AI Practice Test

Juniper JN0-750 Exam Topics:

Section Objectives
Juniper Mist Distributed Enterprise Networks Solutions
- Describe the concepts or functionalities of Juniper Mist distributed enterprise networks:
  • Wired Assurance
  • Wireless Assurance
  • Access Assurance
  • Routing Assurance
  • Marvis VNA for Data Center (Apstra)
  • WAN Edge and SD-WAN
Juniper Mist Automation Strategies
- Describe the concepts or functionalities for using Python with Juniper Mist:
  • Libraries
  • Tools
  • Supported data structures (JSON, YAML, Jinja2)
- Describe the concepts or functionalities of using REST APIs with Juniper Mist:
  • Tools
  • Integration
  • API endpoints
  • Call structure requirements
- Describe the concepts or functionalities of Juniper Mist Webhooks:
  • Available features
  • Use cases
- Demonstrate knowledge of deploying automation strategies with Juniper Mist:
  • Using Python
  • Using REST APIs
  • Using Webhooks
Juniper Mist Security Solutions
- Describe the concepts or functionalities of using security with Juniper Mist:
  • Access Assurance
  • 802.1X
  • RADIUS
  • WAN edge SSR security features
  • Wireless security features
  • Juniper Mist policies (WxLAN, Application, Access Assurance)
  • Alerts
- Demonstrate knowledge of configuring or monitoring Juniper Mist security solutions.
Automating Day 1 Operations
- Describe the components of automating Day 1 operations:
  • Order of operation considerations
  • Juniper Mist configuration objects (for example, device profiles, templates, WLANs, policies)
- Demonstrate knowledge of creating or deploying automation of Day 1 operations.
Automating Day 2 Operations
- Describe the concepts or functionalities of automating Day 2 operations:
  • Tools
  • Insights
  • Evaluating SLEs
  • Analyzing data and statistics
- Demonstrate knowledge of creating or deploying automation of Day 2 operations.

Juniper JNCIP-MistAI Exam Description:

The Mist AI™ track enables you to demonstrate a thorough understanding of general distributed enterprise networks as well as Mist AI features and functionalities. JNCIP-MistAI, the professional-level certification in this track, is designed for experienced distributed enterprise networking professionals with advanced knowledge of automating networking configuration and management tasks when using Mist AI. The written exam verifies your advanced understanding of automation tools used for configuring and managing a distributed enterprise Mist AI network.

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