Updated: Aug 25, 2026
No. of Questions: 52 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Certification Vendor: | AI CERTs |
| Exam Name: | AI+ Network Examination |
| Exam Number: | AT-510 |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 50 |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Price: | $250 USD |
| Passing Score: | 70% (35 out of 50) |
| Related Certifications: | AI+ Network Certification |
| Exam Format: | Multiple-choice, Multiple-response |
| Sample Questions: | AI CERTs AT-510 Sample Questions |
| Exam Way: | Online, proctored via an AI-enabled platform with flexible scheduling. |
| Pre Condition: | Foundational knowledge of networking concepts and basic understanding of AI/ML principles recommended. |
| Official Syllabus URL: | https://www.aicerts.ai/certifications/network/ai-network |
| Section | Objectives |
|---|---|
| Emerging Technologies and Future Trends | - Ethical Considerations in AI Networking - Zero Trust Architecture Enhanced by AI - 5G and Edge Computing with AI - IoT Network Management using AI |
| AI-Driven Network Automation and Orchestration | - Network Automation Principles - Intent-Based Networking (IBN) - Software-Defined Networking (SDN) with AI - Configuration Management and Orchestration Tools |
| AI and Machine Learning in Networking | - Introduction to AI/ML Concepts - Supervised, Unsupervised, and Reinforcement Learning - AI Model Training and Inference - Neural Networks and Deep Learning Basics |
| AI-Enhanced Network Monitoring and Troubleshooting | - Log Analysis and Pattern Recognition - Intelligent Network Monitoring Systems - Self-Healing Networks - Root Cause Analysis with AI |
| Predictive Analytics and Network Optimization | - Predictive Maintenance for Network Infrastructure - Quality of Service (QoS) Optimization using AI - Traffic Forecasting and Load Balancing - Capacity Planning with ML Models |
| Networking Fundamentals for AI | - IP Addressing and Subnetting - Network Topologies and Architectures - OSI Model and TCP/IP Stack - Routing and Switching Concepts |
| AI for Network Security | - AI-Powered Threat Detection and Prevention - Automated Incident Response - Anomaly Detection in Network Traffic - Behavioral Analytics and User Entity Behavior Analytics (UEBA) |
1. (Scenario: A financial services company is experiencing an unusual number of login attempts from different global IP addresses on an employee account. They need to determine whether the account is compromised while ensuring minimum disruption to operations.
Question: Which AI-driven security feature would best address this issue?)
A) Behavioral analysis to compare current activity with the account's baseline patterns.
B) Static analysis to evaluate metadata associated with the login attempts.
C) Heuristic analysis to apply generalized rules for identifying threats.
D) Signature-based detection to match activity with known threat databases.
2. (Scenario: A large financial institution needs to enforce configuration compliance across all network devices to adhere to strict regulatory standards.
Question: Which tool would best support automated compliance and auditing?)
A) Puppet, with its automated policy enforcement capabilities.
B) Kubernetes, designed for container orchestration rather than compliance.
C) Ansible, using its YAML-based playbooks for manual configurations.
D) OpenStack, which focuses on virtual resource management instead of compliance.
3. (In a hybrid topology, why is the combination of multiple topologies beneficial?)
A) Requires fewer cables and connections for all devices.
B) Leverages strengths while minimizing weaknesses of each topology.
C) Simplifies network management and reduces costs.
D) Ensures uniformity and ease of data transmission.
4. (Which system is best for detecting unauthorized logins and adapting to new threats?)
A) Machine learning-driven intrusion detection
B) Load balancers
C) Static firewalls
D) Reactive AI
5. (Scenario: A multinational corporation faces an issue where employees working remotely often connect to corporate resources using unsecured devices. Despite enforcing strong password policies, they still encounter breaches due to compromised endpoints. The security team needs a strategy to ensure only compliant devices can access sensitive resources while minimizing user disruption.
Question: What approach should the corporation adopt to resolve this issue?)
A) Restrict remote access entirely to prevent breaches from unsecured devices.
B) Enforce stricter password policies to enhance user authentication security.
C) Implement Zero Trust Architecture to verify user and device compliance.
D) Deploy network segmentation to isolate critical resources from remote access.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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