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.
SaaS data backupPaaS use casesCloud storage replicationServerless applicationsCloud security tools
Cloud Computing Management Questions
What are some common types of SLAs in SaaS?
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Uptime SLAs
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Performance SLAs
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Support SLAs
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All of the above
D
Correct answer
Explanation
Some common types of SLAs in SaaS include uptime SLAs, performance SLAs, and support SLAs.
Which of the following is a best practice for securing government data on mobile devices when using cloud services?
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Encrypting data before uploading it to the cloud
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Using strong passwords and multi-factor authentication for cloud accounts
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Regularly monitoring cloud activity for suspicious behavior
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All of the above
D
Correct answer
Explanation
To ensure the security of government data stored in cloud services, it is essential to implement a combination of security measures, including data encryption, strong authentication, and regular monitoring of cloud activity.
Which of the following is an open-source distributed computing framework for processing large datasets?
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Apache Spark
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Apache Hadoop
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Apache Flink
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Apache Storm
A
Correct answer
Explanation
Apache Spark is an open-source distributed computing framework for processing large datasets. It is designed to be fast, scalable, and fault-tolerant.
Which of the following is a distributed file system that is designed to store and process large datasets?
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Apache Hadoop Distributed File System (HDFS)
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Apache Cassandra
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Apache HBase
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Apache Accumulo
A
Correct answer
Explanation
Apache Hadoop Distributed File System (HDFS) is a distributed file system that is designed to store and process large datasets. It is a core component of the Apache Hadoop ecosystem.
Which of the following is a distributed stream processing platform that is designed to handle real-time data?
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Apache Storm
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Apache Flink
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Apache Spark Streaming
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Apache Kafka
A
Correct answer
Explanation
Apache Storm is a distributed stream processing platform that is designed to handle real-time data. It is a fault-tolerant platform that can process large volumes of data in real time.
Which of the following is a distributed messaging system that is designed to handle large volumes of data?
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Apache Kafka
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Apache ActiveMQ
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Apache RabbitMQ
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Apache Pulsar
A
Correct answer
Explanation
Apache Kafka is a distributed messaging system that is designed to handle large volumes of data. It is a fault-tolerant platform that can handle millions of messages per second.
Which of the following is a cloud-based data analytics platform that is offered by Google?
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Google BigQuery
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Google Cloud Dataproc
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Google Cloud Dataflow
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Google Cloud Pub/Sub
A
Correct answer
Explanation
Google BigQuery is a cloud-based data analytics platform that is offered by Google. It is a serverless platform that allows users to query and analyze large datasets without having to manage the underlying infrastructure.
Which of the following is a cloud-based data analytics platform that is offered by Amazon?
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Amazon Redshift
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Amazon EMR
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Amazon Kinesis
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Amazon Athena
A
Correct answer
Explanation
Amazon Redshift is a cloud-based data analytics platform that is offered by Amazon. It is a fully managed data warehouse that allows users to query and analyze large datasets without having to manage the underlying infrastructure.
Which of the following is a cloud-based data analytics platform that is offered by Microsoft?
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Azure Synapse Analytics
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Azure HDInsight
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Azure Data Lake Analytics
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Azure Cosmos DB
A
Correct answer
Explanation
Azure Synapse Analytics is a cloud-based data analytics platform that is offered by Microsoft. It is a fully managed data warehouse that allows users to query and analyze large datasets without having to manage the underlying infrastructure.
Which of the following is a commercial data analytics platform that is offered by Cloudera?
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Cloudera Hadoop
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Cloudera Spark
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Cloudera Impala
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Cloudera Hue
A
Correct answer
Explanation
Cloudera Hadoop is a commercial data analytics platform that is offered by Cloudera. It is a distribution of the Apache Hadoop ecosystem that is designed for large-scale data analytics workloads.
Which of the following is a commercial data analytics platform that is offered by Hortonworks?
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Hortonworks Data Platform
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Hortonworks Hadoop
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Hortonworks Spark
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Hortonworks Impala
A
Correct answer
Explanation
Hortonworks Data Platform is a commercial data analytics platform that is offered by Hortonworks. It is a distribution of the Apache Hadoop ecosystem that is designed for large-scale data analytics workloads.
Which of the following is NOT a type of mobile cloud computing application?
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Mobile gaming
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Mobile office productivity
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Mobile social networking
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Mobile healthcare
B
Correct answer
Explanation
Mobile office productivity applications are typically not considered mobile cloud computing applications because they do not require cloud storage or processing.
Which of the following is NOT a common use case for mobile cloud computing applications?
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Mobile gaming
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Mobile video streaming
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Mobile banking
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Mobile augmented reality
D
Correct answer
Explanation
Mobile augmented reality applications typically require significant processing power and graphics capabilities, which are not always available on mobile devices.
What is the role of a mobile cloud computing platform?
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To provide a development environment for mobile applications
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To manage and deliver mobile applications to users
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To provide cloud storage and processing services to mobile applications
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To enable secure communication between mobile devices and cloud servers
C
Correct answer
Explanation
A mobile cloud computing platform provides cloud storage and processing services to mobile applications, allowing them to access and process data and applications remotely.
Which of the following is a key factor to consider when developing mobile cloud computing applications?
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User interface design
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Network connectivity requirements
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Security considerations
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All of the above
D
Correct answer
Explanation
When developing mobile cloud computing applications, it is important to consider all of the above factors to ensure the application is user-friendly, reliable, and secure.