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Ethical Hacking v13 Practice Exams 2026
Rating: 4.5 out of 5(1 rating)
307 students

Ethical Hacking v13 Practice Exams 2026

Ethical Hacking & Cybersecurity with AI, Cloud, and Modern Attack Techniques
Created bySydney Marshall
Last updated 3/2026
English

What you'll learn

  • Understand how modern cyber attacks are planned, executed, and defended against in real-world environments
  • Analyze attacker techniques used in network reconnaissance, exploitation, privilege escalation, and persistence
  • Identify and mitigate risks related to misconfigurations, identity abuse, containers, Kubernetes, and serverless services
  • Understand cryptographic mechanisms such as encryption, hashing, digital certificates, PKI, and blockchain security
  • Learn how artificial intelligence is used in both offensive security techniques and defensive monitoring

Included in This Course

520 questions
  • Practice Exam : 1100 questions
  • Practice Exam : 2100 questions
  • Practice Exam : 3100 questions
  • Practice Exam : 4100 questions
  • Practice Exam : 5120 questions

Description

This course is designed to provide a deep and practical understanding of modern ethical hacking and cybersecurity techniques aligned with today’s evolving threat landscape. It covers a wide range of offensive and defensive security concepts, integrating real-world attack scenarios, cloud environments, artificial intelligence–driven security techniques, and hands-on methodologies used by professional security practitioners.

Learners will explore how attackers gather intelligence, analyze networks, exploit vulnerabilities, and maintain access across systems, while also understanding how organizations detect, mitigate, and defend against these attacks. The content focuses on real security challenges found in enterprise networks, cloud platforms, containerized environments, serverless architectures, web applications, wireless networks, mobile platforms, IoT systems, and cryptographic implementations.

Special emphasis is placed on cloud security across major platforms such as AWS, Microsoft Azure, and Google Cloud, including identity abuse, misconfigurations, container risks, Kubernetes security, and persistence techniques. The course also addresses modern cryptographic practices, digital certificates, encryption mechanisms, blockchain threats, and defenses against classical and quantum-based attacks.

Artificial intelligence is integrated throughout the learning journey, demonstrating how AI is used in reconnaissance, vulnerability discovery, malware development, threat emulation, and defensive monitoring. Learners will gain insight into how attackers leverage automation and how defenders can use intelligent tools to improve detection and response.

This course is ideal for students, cybersecurity professionals, penetration testers, SOC analysts, cloud engineers, and anyone preparing for advanced security roles. By the end, learners will have a strong conceptual foundation, improved analytical thinking, and a clear understanding of how real-world cyber attacks are executed and defended against in modern IT and cloud infrastructures.

Who this course is for:

  • Students pursuing careers in cybersecurity or information security
  • IT professionals looking to transition into security-focused roles
  • Penetration testers and security analysts seeking structured technical understanding
  • Cloud engineers and DevOps professionals interested in securing modern cloud environments
  • Anyone preparing for advanced cybersecurity certifications or hands-on security roles