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 cloud platform is widely used for IoT device integration and data management?
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Amazon Web Services (AWS)
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Microsoft Azure
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Google Cloud Platform (GCP)
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All of the above
D
Correct answer
Explanation
AWS, Azure, and GCP are leading cloud platforms that offer comprehensive services for IoT device integration, data management, and analytics.
Which of the following is NOT a best practice for designing scalable and elastic applications in PaaS?
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Use stateless microservices
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Avoid shared resources
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Design for horizontal scaling
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Use a single database for all data
D
Correct answer
Explanation
Using a single database for all data is not a best practice for designing scalable and elastic applications, as it can create a single point of failure and limit the ability to scale the application horizontally.
Which of the following is NOT a common strategy for achieving elasticity in PaaS?
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Using a message queue
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Implementing a load balancer
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Using a distributed cache
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Using a single database for all data
D
Correct answer
Explanation
Using a single database for all data is not a common strategy for achieving elasticity in PaaS, as it can create a single point of failure and limit the ability to scale the application horizontally.
Which of the following is NOT a common use case for a load balancer in PaaS?
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Distributing traffic across multiple instances of an application
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Improving performance by caching frequently requested content
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Providing high availability by failing over to a backup instance in case of failure
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Encrypting traffic between the application and the client
D
Correct answer
Explanation
Encrypting traffic between the application and the client is not a common use case for a load balancer in PaaS, as this is typically handled by a web server or application server.
Which of the following is a key metric for monitoring IaaS performance?
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CPU utilization
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Memory utilization
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Network bandwidth utilization
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Disk I/O performance
Correct answer
Explanation
All of the options are key metrics for monitoring IaaS performance. CPU utilization, memory utilization, network bandwidth utilization, and disk I/O performance are all important factors that can impact the overall performance of IaaS workloads.
What is the role of synthetic monitoring in IaaS Performance Monitoring?
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To simulate real-user traffic and measure the performance of IaaS resources
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To identify and resolve performance bottlenecks
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To collect historical performance data
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To generate performance reports
A
Correct answer
Explanation
Synthetic monitoring involves simulating real-user traffic and measuring the performance of IaaS resources under various conditions. This helps to identify potential performance issues before they impact real users.
Which of the following is a best practice for IaaS Performance Monitoring?
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Establish clear performance objectives and SLAs
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Use a combination of synthetic and real-user monitoring
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Monitor performance metrics at regular intervals
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Implement proactive alerting and notification mechanisms
Correct answer
Explanation
All of the options are best practices for IaaS Performance Monitoring. Establishing clear performance objectives and SLAs, using a combination of synthetic and real-user monitoring, monitoring performance metrics at regular intervals, and implementing proactive alerting and notification mechanisms are all important for ensuring the effective monitoring of IaaS performance.
What is the primary benefit of using a cloud-based IaaS Performance Monitoring tool?
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Scalability and flexibility
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Reduced cost and complexity
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Improved visibility and insights
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Enhanced security and compliance
A
Correct answer
Explanation
Cloud-based IaaS Performance Monitoring tools offer scalability and flexibility, allowing businesses to easily scale their monitoring capabilities as their IaaS environment grows and changes.
Which of the following is a key consideration when selecting an IaaS Performance Monitoring tool?
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Ease of use and deployment
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Scalability and flexibility
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Integration with existing monitoring tools
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Cost-effectiveness
Correct answer
Explanation
All of the options are key considerations when selecting an IaaS Performance Monitoring tool. Ease of use and deployment, scalability and flexibility, integration with existing monitoring tools, and cost-effectiveness are all important factors to consider.
Which of the following is a common metric used to measure the performance of IaaS storage systems?
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IOPS (Input/Output Operations Per Second)
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Throughput (MB/s or GB/s)
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Latency (ms)
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All of the above
D
Correct answer
Explanation
All of the options are common metrics used to measure the performance of IaaS storage systems. IOPS (Input/Output Operations Per Second), throughput (MB/s or GB/s), and latency (ms) are all important factors that can impact the overall performance of IaaS storage systems.
Which of the following is a best practice for optimizing the performance of IaaS workloads?
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Right-sizing IaaS resources
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Using load balancing and autoscaling
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Implementing caching and CDN (Content Delivery Network)
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All of the above
D
Correct answer
Explanation
All of the options are best practices for optimizing the performance of IaaS workloads. Right-sizing IaaS resources, using load balancing and autoscaling, and implementing caching and CDN (Content Delivery Network) can all help to improve the performance and scalability of IaaS workloads.
Which architectural pattern is commonly used for real-time data integration?
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Lambda architecture
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Kappa architecture
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Microservices architecture
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Data lake architecture
A
Correct answer
Explanation
Lambda architecture is a popular architectural pattern for real-time data integration. It combines batch processing for historical data analysis and stream processing for real-time data analysis, providing a comprehensive view of data.
Which technology is commonly used for data ingestion in real-time data integration?
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Apache Kafka
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Apache Flume
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Apache Spark Streaming
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Apache Storm
A
Correct answer
Explanation
Apache Kafka is a widely used technology for data ingestion in real-time data integration. It provides a scalable and reliable platform for capturing and distributing large volumes of data in real-time.
Which technology is commonly used for data storage in real-time data integration?
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Apache HBase
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Apache Cassandra
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Apache Hadoop
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Apache Hive
A
Correct answer
Explanation
Apache HBase is a popular technology for data storage in real-time data integration. It provides a distributed, column-oriented database designed for high-volume, real-time data storage and retrieval.
Which technology is commonly used for data security in real-time data integration?
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Apache Knox
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Apache Ranger
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Apache Sentry
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Apache Atlas
A
Correct answer
Explanation
Apache Knox is a widely used technology for data security in real-time data integration. It provides a single point of access and authentication for various data services, enabling secure access to data in real-time.