Computer Knowledge
Cloud Computing Management
2,340 Questions
Cloud computing management involves administering web based services, data storage, and network security protocols. This subject is heavily featured in the computer aptitude sections of banking and government recruitment tests. The practice questions address SaaS backup, cross region storage replication, and serverless application designs.
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Cloud Computing Management Questions
Which of the following is NOT a common CWPP tool used in cloud security?
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Google Cloud Workload Identity
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Amazon Web Services (AWS) Security Hub
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Microsoft Azure Sentinel
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CrowdStrike Falcon Cloud Workload Protection
B
Correct answer
Explanation
Amazon Web Services (AWS) Security Hub is not a common CWPP tool used in cloud security. Google Cloud Workload Identity, Microsoft Azure Sentinel, and CrowdStrike Falcon Cloud Workload Protection are more commonly used.
What is the primary purpose of cloud access security broker (CASB) in cloud security?
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To control access to cloud services
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To protect data from unauthorized access
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To improve data performance
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To prevent malicious attacks
A
Correct answer
Explanation
The primary purpose of cloud access security broker (CASB) in cloud security is to control access to cloud services.
Which of the following is NOT a common CASB tool used in cloud security?
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Zscaler Cloud Security
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Symantec Web Gateway
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Proofpoint Cloud App Security
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McAfee MVISION Cloud
B
Correct answer
Explanation
Symantec Web Gateway is not a common CASB tool used in cloud security. Zscaler Cloud Security, Proofpoint Cloud App Security, and McAfee MVISION Cloud are more commonly used.
Which of the following is NOT a common SIEM tool used in cloud security?
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Splunk Cloud
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LogRhythm Cloud
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IBM QRadar Cloud Edition
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SolarWinds Security Event Manager (SEM)
D
Correct answer
Explanation
SolarWinds Security Event Manager (SEM) is not a common SIEM tool used in cloud security. Splunk Cloud, LogRhythm Cloud, and IBM QRadar Cloud Edition are more commonly used.
Which of the following is a key component of a DevOps toolchain for big data and analytics?
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Continuous integration and continuous delivery (CI/CD) tools.
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Big data processing and analytics platforms.
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Infrastructure as code (IaC) tools.
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Data governance and security tools.
A
Correct answer
Explanation
CI/CD tools are essential for automating the building, testing, and deployment of big data and analytics applications, enabling faster and more frequent releases.
What is the role of infrastructure as code (IaC) in DevOps for big data and analytics?
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To define and manage the infrastructure required for big data and analytics applications using code.
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To automate the provisioning and configuration of big data and analytics infrastructure.
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To enable self-service provisioning of big data and analytics resources.
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To improve the security and compliance of big data and analytics environments.
A
Correct answer
Explanation
IaC allows DevOps teams to define and manage the infrastructure required for big data and analytics applications using code, enabling faster and more consistent provisioning and configuration.
Which of the following is a recommended practice for monitoring and optimizing big data and analytics systems?
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Regularly reviewing system metrics and logs to identify potential issues.
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Implementing automated monitoring and alerting tools to proactively detect and resolve problems.
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Performing regular performance tuning and optimization to improve system efficiency.
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All of the above.
D
Correct answer
Explanation
Effective monitoring and optimization of big data and analytics systems involves a combination of regular manual reviews, automated monitoring tools, and ongoing performance tuning and optimization.
What is the primary benefit of using a cloud-based platform for DevOps in big data and analytics?
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Improved scalability and elasticity to handle varying workloads.
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Reduced infrastructure management overhead and costs.
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Access to a wide range of big data and analytics tools and services.
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All of the above.
D
Correct answer
Explanation
Cloud-based platforms offer improved scalability, reduced infrastructure management overhead, and access to a wide range of big data and analytics tools and services, making them a popular choice for DevOps in big data and analytics.
Which of the following is a key consideration when implementing DevOps for big data and analytics in a regulated industry?
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Ensuring compliance with industry-specific regulations and standards.
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Implementing robust security measures to protect sensitive data.
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Establishing clear roles and responsibilities for data governance and security.
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All of the above.
D
Correct answer
Explanation
In regulated industries, DevOps for big data and analytics must take into account compliance requirements, security measures, and clear roles and responsibilities for data governance and security.
What is the role of automation in DevOps for big data and analytics?
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To streamline and accelerate the development and deployment of big data and analytics applications.
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To reduce manual effort and improve efficiency in managing big data and analytics infrastructure.
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To enable continuous monitoring and optimization of big data and analytics systems.
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All of the above.
D
Correct answer
Explanation
Automation plays a crucial role in DevOps for big data and analytics, enabling faster application development and deployment, efficient infrastructure management, and continuous monitoring and optimization.
Which of the following is a recommended practice for implementing continuous delivery (CD) in DevOps for big data and analytics?
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Automating the deployment of big data and analytics applications to production environments.
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Performing rigorous testing and quality assurance before deploying applications to production.
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Monitoring and tracking the performance and stability of applications in production.
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All of the above.
D
Correct answer
Explanation
Implementing continuous delivery (CD) in DevOps for big data and analytics involves automating application deployment to production, rigorous testing and quality assurance, and monitoring and tracking application performance and stability.
Which of the following is a key metric for measuring the success of DevOps in big data and analytics?
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Reduced time to market for big data and analytics applications.
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Improved quality and reliability of big data and analytics applications.
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Increased collaboration and communication between development and operations teams.
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All of the above.
D
Correct answer
Explanation
The success of DevOps in big data and analytics is typically measured by reduced time to market, improved quality and reliability, and increased collaboration and communication.
What is the primary purpose of a Cloud Security Service Level Agreement (SLA)?
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To define the security responsibilities of the cloud service provider and the customer.
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To outline the specific security measures that the provider must implement.
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To establish a framework for resolving security incidents and disputes.
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To ensure that the provider meets or exceeds industry-standard security requirements.
A
Correct answer
Explanation
A Cloud Security SLA is a contract that outlines the security obligations of both the provider and the customer. It defines the security measures that the provider must implement, the customer's responsibilities for securing their data and applications, and the process for resolving security incidents.
Which of the following is typically included in a Cloud Security SLA?
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A description of the security controls and measures implemented by the provider.
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A list of the security certifications and compliance standards that the provider must meet.
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A definition of the customer's responsibilities for securing their data and applications.
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All of the above.
D
Correct answer
Explanation
A Cloud Security SLA typically includes a description of the security controls and measures implemented by the provider, a list of the security certifications and compliance standards that the provider must meet, and a definition of the customer's responsibilities for securing their data and applications.
Which of the following is NOT a common security control included in a Cloud Security SLA?
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Encryption of data at rest and in transit.
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Multi-factor authentication (MFA) for user access.
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Regular security audits and penetration testing.
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Unlimited access to the provider's security logs.
D
Correct answer
Explanation
Unlimited access to the provider's security logs is not a common security control included in a Cloud Security SLA. While some providers may offer limited access to their security logs, it is generally not considered a standard requirement.