2 min read

Cloud Security Analyst Skills Test

joseph cole

Updated on December 2, 2022

Cloud Security Analyst Test Overview 

Cloud security analysts are like invigilators who overlook their network systems to proactively mitigate threats and vulnerabilities. They proactively make informed decisions based on network device logs.  

If you are looking for a cloud security analyst, then this blog is for you. For starters, here are sample questions to know what kind of questions you can ask the candidate. Feel free to make use of them or even modify them as per the hiring need. 

Expected Skills 

  • Strong familiarity with OSI network model and network protocols such as TCP/IP 
  • Solid expertise in understanding various patterns of cyber attack 
  • Monitor networks and develop security plans 
  • Hands-on expertise in different operating systems Linux, Windows, iOS, Android etc 

Test Category 

Type – Multiple Choice Questions 

Time – 10 mins 

Language - English 

Level – Entry 

Difficulty - Easy 

Test Questions 

  1. ______ is a form of compromised cloud information 
  • Attack 
  • Bug 
  • Threat 
  • Vulnerability 
  • None of these 
  1. ______ is a representation of the CIA triad 
  • Circle 
  • Diagonal 
  • Ellipse 
  • Triangle 
  • None of these 
  1. ______ can protect data modification by unknown users 
  • Authentication 
  • Confidentiality 
  • Integrity 
  • Non-repudiation 
  • None of these 
  1. OSI is an abbreviation for ______ 
  • Open Source Initiative 
  • Open System Interface 
  • Open System Interconnections 
  • Open Standard Interconnections 
  • None of these 
  1. ______ is used to safeguard authentication, integrity, and privacy in an email 
  • IPSec 
  • SSL 
  • PGP 
  • Encryption 
  • None of these 

Who should take the test? 

Careers in cloud security manage cloud infrastructure platforms and applications to prevent data misuse, cyber-attacks, and similar anomalies. So, this free test chisels your skills and competencies for the cloud security analyst role. 

How can Glider AI help you with Hiring a Cloud Security Analyst? 

Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process. 

Glider AI's Unique Features

  • Conversational Chatbot for Talent Screening
  • Interactive, coding-enabled skill tests
  • Powerful candidate analytics 

Discover Hiring Resources for Cloud Security Analysts

  • Hiring a Cloud Security Analyst
  • Cloud Security Analyst Job Description
  • Cloud Security Analyst Interview Questions
  • How to Hire a Cloud Security Analyst

Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Cloud Security Analyst role. 

Go ahead and spotlight your Cloud Security Analyst with Glider AI today! 

You can always write to us at info@glider.ai to help you access the hiring resources. 

Glider AI skill intelligence platform Demo Request CTA Blogs

Webmaster Job Description

This Webmaster job description template can be posted to online job forums and career pages for the recruitment of candidates. The Webmaster job description, its requirements, and responsibilities given in this template can be modified according to the specific nature of your company. The primary job role of a Webmaster is to: Webmaster Job Description […]

Sales Consultant Interview Questions

The process of hiring a sales consultant for your organization is not a breeze. Take a note of these questions that will you find the perfect fit. Jump to section: Sales Consultant Interview Questions A Sales Consultant should be smart enough to analyze businesses performance, sales structure, and also suggests ideas for improvement. Experience in […]

AI Developer Job Description

Overview An AI developer is a technical professional who specializes in designing, developing, and implementing AI solutions that can help organizations improve their operations and decision-making processes. They work with large datasets and use machine learning techniques and algorithms to build accurate and reliable AI models. AI developers need to have a strong technical background […]
chevron-down