Computer Knowledge
Cloud Computing Management
2,254 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.
SaaS data backupPaaS use casesCloud storage replicationServerless applicationsCloud security tools
Cloud Computing Management Questions
Which of the following is NOT a common SaaS data management tool?
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Data backup and recovery tools
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Data encryption tools
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Data governance and compliance tools
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Data visualization and analytics tools
D
Correct answer
Explanation
Data visualization and analytics tools are not typically considered SaaS data management tools, as they are primarily used for data analysis and reporting.
Which of the following is NOT a best practice for SaaS data encryption?
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Using strong encryption algorithms
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Managing encryption keys securely
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Encrypting data only when necessary
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Reusing encryption keys across multiple systems
D
Correct answer
Explanation
Reusing encryption keys across multiple systems is not a best practice for SaaS data encryption, as it can increase the risk of data compromise.
Which of the following is NOT a common SaaS data access control mechanism?
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Role-based access control (RBAC)
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Attribute-based access control (ABAC)
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Multi-factor authentication (MFA)
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Data encryption
D
Correct answer
Explanation
Data encryption is not a data access control mechanism, as it is used to protect data from unauthorized access and modification.
Which of the following is NOT a common scalability technique used in SaaS applications?
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Horizontal Scaling
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Vertical Scaling
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Load Balancing
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Sharding
B
Correct answer
Explanation
Vertical scaling involves adding more resources to a single server, while horizontal scaling involves distributing the load across multiple servers. Load balancing and sharding are techniques used to distribute the load across multiple servers.
What is the primary goal of performance optimization in SaaS applications?
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Reducing Latency
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Improving Throughput
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Minimizing Resource Usage
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All of the above
D
Correct answer
Explanation
Performance optimization in SaaS applications aims to achieve all of the above objectives: reducing latency, improving throughput, and minimizing resource usage.
Which of the following is NOT a best practice for ensuring high availability in SaaS applications?
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Using Redundant Servers
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Implementing Load Balancing
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Regularly Backing Up Data
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Avoiding Single Points of Failure
C
Correct answer
Explanation
Regularly backing up data is important for data protection, but it is not a best practice for ensuring high availability. High availability is achieved through techniques such as using redundant servers, implementing load balancing, and avoiding single points of failure.
What is the purpose of sharding in SaaS applications?
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Distributing Data Across Multiple Servers
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Improving Query Performance
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Reducing Latency
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All of the above
D
Correct answer
Explanation
Sharding involves dividing a large dataset into smaller, more manageable chunks and distributing them across multiple servers. This helps improve query performance, reduce latency, and increase scalability.
Which of the following is NOT a common performance metric used in SaaS applications?
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Latency
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Throughput
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Uptime
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Resource Utilization
C
Correct answer
Explanation
Uptime is a measure of the availability of a system, while latency, throughput, and resource utilization are performance metrics that measure the speed, capacity, and efficiency of a system.
What is the primary benefit of using a CDN (Content Delivery Network) in SaaS applications?
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Reducing Latency
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Improving Throughput
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Minimizing Bandwidth Usage
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All of the above
A
Correct answer
Explanation
A CDN is a network of servers distributed across different locations that store and deliver content to users based on their geographic proximity. This helps reduce latency by delivering content from a server that is closer to the user.
Which of the following is NOT a common scalability challenge faced by SaaS applications?
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Handling Bursts of Traffic
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Managing Data Growth
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Ensuring High Availability
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Optimizing Performance
D
Correct answer
Explanation
Optimizing performance is not a scalability challenge, but rather a goal that is pursued to ensure that the application can handle increasing loads and maintain a high level of performance.
What is the primary purpose of load balancing in SaaS applications?
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Distributing Traffic Across Multiple Servers
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Improving Query Performance
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Reducing Latency
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All of the above
A
Correct answer
Explanation
Load balancing is used to distribute incoming traffic across multiple servers, thereby improving scalability and preventing any single server from becoming overloaded.
Which of the following is NOT a best practice for ensuring reliability in SaaS applications?
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Implementing Redundancy
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Regularly Testing and Monitoring
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Using Load Balancing
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Avoiding Single Points of Failure
C
Correct answer
Explanation
Load balancing is a technique used to improve scalability, not reliability. Implementing redundancy, regularly testing and monitoring, and avoiding single points of failure are all best practices for ensuring reliability.
What is the purpose of caching in SaaS applications?
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Storing Frequently Accessed Data in Memory
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Improving Query Performance
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Reducing Latency
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All of the above
D
Correct answer
Explanation
Caching involves storing frequently accessed data in memory to reduce the time required to retrieve it. This helps improve query performance, reduce latency, and improve overall application responsiveness.
Which of the following is NOT a common technique used to improve scalability in SaaS applications?
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Horizontal Scaling
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Vertical Scaling
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Load Balancing
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Denormalization
D
Correct answer
Explanation
Denormalization is a technique used to improve query performance by duplicating data across multiple tables, while horizontal scaling, vertical scaling, and load balancing are techniques used to improve scalability.
Which of the following is NOT a common performance optimization technique used in SaaS applications?
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Using Efficient Algorithms
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Optimizing Database Queries
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Caching Frequently Accessed Data
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Increasing the Number of Servers
D
Correct answer
Explanation
Increasing the number of servers is a scalability technique, not a performance optimization technique. Performance optimization techniques aim to improve the efficiency of the application without adding more resources.