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

Multiple choice

What is the purpose of a data center management system?

  1. To monitor and manage data center infrastructure

  2. To provision and manage virtual machines

  3. To provide security for data and applications

  4. To manage network traffic and provide QoS
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

A data center management system is responsible for monitoring and managing data center infrastructure, including servers, storage devices, and network devices.

Multiple choice

Which of the following is a key consideration for designing scalable systems?

  1. Modularity

  2. Centralization

  3. Tight coupling

  4. Fixed resource allocation
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

Modularity allows systems to be decomposed into independent components, making it easier to add or remove functionality and scale the system as needed.

Multiple choice

Which design pattern is commonly used to achieve scalability by distributing workload across multiple nodes?

  1. Singleton

  2. Factory

  3. Proxy

  4. Load Balancer
Reveal answer Fill a bubble to check yourself
D Correct answer
Explanation

Load balancers distribute incoming requests or tasks across multiple servers or nodes, improving scalability and preventing overloading of individual nodes.

Multiple choice

Which of the following is a common strategy for achieving horizontal scalability?

  1. Increasing the number of processing units

  2. Reducing the number of redundant components

  3. Centralizing data storage

  4. Tightening coupling between components
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

Horizontal scalability involves adding more processing units or nodes to handle increased load, distributing the workload across multiple resources.

Multiple choice

Which of the following is a common strategy for achieving vertical scalability?

  1. Adding more processing units

  2. Distributing workload across multiple nodes

  3. Reducing the number of redundant components

  4. Upgrading hardware resources
Reveal answer Fill a bubble to check yourself
D Correct answer
Explanation

Vertical scalability involves upgrading hardware resources such as CPU, memory, or storage capacity to handle increased load or improve performance.

Multiple choice

What is the primary benefit of using a cloud-based infrastructure for scalability?

  1. Reduced hardware costs

  2. Improved security

  3. Simplified deployment process

  4. Ability to scale resources on demand
Reveal answer Fill a bubble to check yourself
D Correct answer
Explanation

Cloud-based infrastructure allows resources such as compute, storage, and network to be scaled up or down dynamically based on demand, providing scalability and cost-effectiveness.

Multiple choice

Which of the following is a common strategy for achieving scalability through data partitioning?

  1. Horizontal partitioning

  2. Vertical partitioning

  3. Composite partitioning

  4. Range partitioning
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

Horizontal partitioning involves distributing data rows across multiple nodes or tables, allowing for scalability and improved query performance.

Multiple choice

What are some of the key factors to consider when selecting a HDSS?

  1. The purpose of the system

  2. The data availability

  3. The technical expertise of the users

  4. The financial resources available
Reveal answer Fill a bubble to check yourself
Correct answer
Explanation

There are a number of key factors to consider when selecting a HDSS. These include the purpose of the system, the data availability, the technical expertise of the users, and the financial resources available. By considering these factors, organizations can select a HDSS that is appropriate for their needs.

Multiple choice

Which of the following is a popular open source framework for distributed computing?

  1. Spark

  2. Hadoop

  3. Storm

  4. Flink
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

Spark is a popular open source framework for distributed computing, which is used for large-scale data processing.

Multiple choice

What is the name of the open source project that provides a distributed file system for storing and processing large amounts of data?

  1. HDFS

  2. Cassandra

  3. MongoDB

  4. Elasticsearch
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

HDFS (Hadoop Distributed File System) is an open source project that provides a distributed file system for storing and processing large amounts of data.

Multiple choice

Which open source project is used for distributed task scheduling and resource management?

  1. Mesos

  2. YARN

  3. Kubernetes

  4. Docker
Reveal answer Fill a bubble to check yourself
B Correct answer
Explanation

YARN (Yet Another Resource Negotiator) is an open source project that is used for distributed task scheduling and resource management.

Multiple choice

What is the name of the open source project that provides a distributed key-value store for storing and retrieving data?

  1. Redis

  2. Memcached

  3. DynamoDB

  4. Aerospike
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

Redis is an open source project that provides a distributed key-value store for storing and retrieving data.

Multiple choice

Which open source project is used for distributed data transfer?

  1. Sqoop

  2. Flume

  3. Kafka Connect

  4. Nifi
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

Sqoop is an open source project that is used for distributed data transfer.

Multiple choice

What is the name of the open source project that provides a distributed data collection system?

  1. Flume

  2. Kafka

  3. Nifi

  4. Logstash
Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

Flume is an open source project that provides a distributed data collection system.

Multiple choice

Which open source project is used for distributed data monitoring?

  1. Nagios

  2. Zabbix

  3. Ganglia

  4. Prometheus
Reveal answer Fill a bubble to check yourself
D Correct answer
Explanation

Prometheus is an open source project that is used for distributed data monitoring.