CLO-002 Online Practice Questions and Answers

Correct Answer: A

Explanation: Self-service is one of the five essential characteristics of cloud computing, along with broad network access, resource pooling, rapid elasticity, and measured service1. Self-service enables cloud customers to provision and

manage cloud resources without requiring human interaction from the cloud service provider2. Self-service allows cloud customers to have more control, flexibility, and agility over their cloud environment, and to perform various tasks such as

building, decommissioning, scaling, monitoring, and configuring cloud resources according to their business needs and preferences3. Self- service is the best cloud characteristic to satisfy the business requirement of migrating mission-critical

applications to the cloud, as it would enable technicians to perform routine functions more efficiently and effectively, and to respond to changing demands and situations more quickly and dynamically.

Broad network access is another essential characteristic of cloud computing, which means that cloud resources are available over the network and can be accessed by diverse customer platforms, such as laptops, mobile phones, tablets,

etc1. Broad network access is an important feature of cloud computing, as it enables cloud customers to access their cloud resources anytime and anywhere, and to use different devices and methods to interact with the cloud. However,

broad network access is not the best cloud characteristic to satisfy the business requirement of migrating mission-critical applications to the cloud, as it does not directly relate to the ability of technicians to build, decommission, and perform

other routine functions on the cloud resources.

Elasticity is another essential characteristic of cloud computing, which means that cloud resources can be rapidly and dynamically scaled up or down according to the customer's demand1. Elasticity is a key benefit of cloud computing, as it

enables cloud customers to optimize the utilization and performance of their cloud resources, and to pay only for what they use. However, elasticity is not the best cloud characteristic to satisfy the business requirement of migrating mission-

critical applications to the cloud, as it does not directly relate to the ability of technicians to build, decommission, and perform other routine functions on the cloud resources.

Availability is not one of the five essential characteristics of cloud computing, but rather a quality attribute or a non-functional requirement of cloud computing. Availability refers to the degree to which a system or service is operational and

accessible when required4. Availability is a critical factor for cloud computing, especially for mission-critical applications, as it affects the reliability and continuity of the cloud service. However, availability is not the best cloud characteristic to

satisfy the business requirement of migrating mission-critical applications to the cloud, as it does not directly relate to the ability of technicians to build, decommission, and perform other routine functions on the cloud resources. References:

CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 1:

Cloud Computing Concepts, pages 11-15.

Correct Answer: D

Explanation: Machine learning is a technology that enables a voice assistant to improve its product based on end user input. Machine learning is a branch of artificial intelligence that allows systems to learn from data and experience, without being explicitly programmed. Machine learning can help a voice assistant to understand natural language, recognize speech, generate responses, and adapt to user feedback. Machine learning can also help a voice assistant to personalize its service, by learning the preferences, habits, and needs of each user. Machine learning can make a voice assistant more intelligent, accurate, and user-friendly over time. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 2: Cloud Concepts, Section 2.2: Cloud Technologies, Page 55.

Correct Answer: D

Explanation: Lift and shift is a cloud migration method that involves moving an application or workload from one environment to another without making any significant changes to its architecture, configuration, or code. Lift and shift is also known as rehosting or forklifting. Lift and shift is best suited for disaster recovery scenarios because it allows for a fast and simple migration of applications or workloads to the cloud in case of a disaster or disruption in the original environment. Lift and shift can also reduce the risk of errors or compatibility issues during the migration process, as the application or workload remains unchanged. Lift and shift can also leverage the cloud's scalability, availability, and security features to improve the performance and resilience of the application or workload. However, lift and shift may not take full advantage of the cloud's native capabilities and services, and may incur higher operational costs due to the maintenance of the legacy infrastructure and software. Therefore, lift and shift may not be the best option for long-term or strategic cloud migration, but rather for short-term or tactical cloud migration for disaster recovery purposes. Replatforming, phased, and rip and replace are not the best cloud migration methods for disaster recovery scenarios, as they involve more changes and complexity to the application or workload, which may increase the migration time and risk. Replatforming is a cloud migration method that involves making some modifications to the application or workload to optimize it for the cloud environment, such as changing the operating system, database, or middleware. Replatforming is also known as replatforming or refactoring. Replatforming can improve the performance and efficiency of the application or workload in the cloud, but it may also introduce some challenges and costs, such as testing, debugging, and licensing. Phased is a cloud migration method that involves moving an application or workload to the cloud in stages or increments, rather than all at once. Phased is also known as iterative or hybrid. Phased can reduce the impact and risk of the migration process, as it allows for testing, feedback, and adjustment along the way. However, phased can also prolong the migration time and effort, as it requires more coordination and integration between the source and target environments. Rip and replace is a cloud migration method that involves discarding the existing application or workload and building a new one from scratch in the cloud, using cloud-native technologies and services. Rip and replace is also known as rebuild or cloud-native. Rip and replace can maximize the benefits and potential of the cloud, but it may also entail the highest cost and complexity, as it requires a complete redesign and redevelopment of the application or workload. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 7: Cloud Migration, Section 7.2: Cloud Migration Methods, Page 2111 and Cloud Migration Strategies: A Guide to Moving Your Infrastructure | Rackspace Technology

Correct Answer: D

Explanation: A service level agreement (SLA) is a contract between a service provider and a customer that defines the expected level of service, performance, availability, and quality of the service, as well as the responsibilities, obligations, and penalties of both parties. An SLA typically includes metrics and indicators to measure and monitor the service, such as response time, uptime, throughput, etc. An SLA also specifies the severity levels of incidents and the corresponding resolution times, such as two hours for a severity level A incident, which is the most critical and urgent. An SLA is different from a maintenance agreement, which is a contract that covers the repair and upkeep of equipment or software; a managed service agreement, which is a contract that covers the outsourcing of certain IT functions or processes to a third-party provider; or an operating level agreement, which is an internal agreement between different departments or units within an organization that support the delivery of a service. References: CompTIA Cloud Essentials+ Certification Exam Objectives1, CompTIA Cloud Essentials+ Study Guide, Chapter 2: Business Principles of Cloud Environments2, Service Level Agreements for Managed Services3

Correct Answer: C

Cloud bursting is a configuration method that uses cloud computing resources whenever on-premises infrastructure reaches peak capacity. When organizations run out of computing resources in their internal data center, they burst the extra workload to external third-party cloud services. Cloud bursting is a convenient and cost-effective way to to support workloads with varying demand patterns and seasonal spikes in demand12. Elasticity and scalability are related concepts, but they are not specific solutions for the retailer's problem. Elasticity refers to the ability of a cloud service to automatically adjust the amount of resources allocated to a workload based on the current demand3. Scalability refers to the ability of a cloud service to handle increasing or decreasing workloads by adding or removing resources4. Self-service is a feature of cloud computing that allows users to provision, manage, and monitor their own cloud resources without the need for human intervention5. While these features are beneficial for cloud consumers, they do not address the retailer's need to handle the high load on its servers during the holiday season without moving its IT operations completely to the cloud.

https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-cloud- bursting/ https://aws.amazon.com/what-is/cloud-bursting/

https://www.geeksforgeeks.org/cloud-bursting-vs-cloud-scaling/

Correct Answer: B

Explanation: According to the CompTIA Cloud Essentials objectives and documents, SaaS, or Software as a Service, is the best option for describing a cloud-hosted application in which the end user only creates user access and configures options. SaaS is a cloud service model that delivers and manages software applications over the internet, without requiring the end user to install, update, or maintain any software or hardware on their own devices. SaaS applications are typically accessed through a web browser or a mobile app, and the end user only pays for the usage or subscription of the service. SaaS providers are responsible for the infrastructure, platform, security, and maintenance of the software applications, and the end user only needs to create user access and configure options according to their preferences and needs. SaaS applications are usually designed for specific purposes or functions, such as email, collaboration, CRM, ERP, or accounting. The other service models are not as suitable for describing a cloud-hosted application in which the end user only creates user access and configures options. MaaS, or Monitoring as a Service, is a type of cloud service that provides monitoring and management of cloud resources and services, such as performance, availability, security, or compliance. MaaS is not a cloud-hosted application, but rather a cloud service that supports other cloud applications. PaaS, or Platform as a Service, is a cloud service model that delivers and manages the hardware and software resources to develop, test, and deploy applications through the cloud. PaaS provides the end user with a cloud-based platform that includes the operating system, middleware, runtime, database, and other tools and services. PaaS providers are responsible for the infrastructure, security, and maintenance of the platform, and the end user only needs to write and manage the code and data of their applications. PaaS applications are usually customized and developed by the end user, rather than provided by the cloud service provider. IaaS, or Infrastructure as a Service, is a cloud service model that delivers and manages the basic computing resources, such as servers, storage, networking, and virtualization, over the internet. IaaS provides the end user with a cloud-based infrastructure that can be used to run any software or application. IaaS providers are responsible for the hardware, security, and maintenance of the infrastructure, and the end user is responsible for the operating system, middleware, runtime, database, and applications. IaaS applications are usually more complex and require more configuration and management by the end user, rather than by the cloud service provider.

Correct Answer: A

Explanation: Data availability in the cloud refers to the ability of cloud services to provide continuous and uninterrupted access to data, even in the event of a network disruption or a disaster. Resiliency is the ability of a system to recover quickly from failures and restore normal operations. Resiliency is related to data availability in the cloud because it ensures that data is not lost or corrupted due to failures and that data can be accessed by users and applications without delays or errors. Deduplication, scalability, and elasticity are not directly related to data availability in the cloud, although they may have some impact on the performance and efficiency of cloud services. Deduplication is the process of eliminating redundant copies of data to save storage space and bandwidth. Scalability is the ability of a system to handle increasing or decreasing workloads by adding or removing resources. Elasticity is the ability of a system to automatically adjust the amount of resources based on the current demand. References: CompTIA Cloud Essentials+ CLO- 002 Study Guide, Chapter 2: Cloud Concepts, Section 2.3: Cloud Service Characteristics, Page 411

Correct Answer: A

Explanation: Data locality is the principle of storing data close to where it is used, such as in the same region, country, or jurisdiction. Data locality can improve the performance, security, and compliance of cloud applications, especially when dealing with sensitive data that is subject to legal or regulatory requirements. Data locality can also reduce the network latency and bandwidth costs associated with transferring data across long distances. Data locality can be achieved by choosing a cloud provider that has data centers in the desired locations, and by specifying the data placement and migration policies in the cloud design phase. Data locality is different from data classification, data certification, and data validation. Data classification is the process of categorizing data based on its sensitivity, value, and risk. Data certification is the process of verifying that data meets certain standards or criteria. Data validation is the process of checking that data is accurate, complete, and consistent. References: Data Locality - an overview | ScienceDirect Topics, Data Locality: What It Is and Why It Matters - Qumulo, Cloud Computing Design Principles - CompTIA Cloud Essentials+ (CLO-002) Cert Guide

Correct Answer: C

Explanation: Machine learning Comprehensive Explanation: Machine learning is a scientific study of algorithms and statistical models that a computer system integrates to improve performance of a specific task effectively based on information1. Machine learning is a subfield of artificial intelligence that uses data and algorithms to imitate the way that humans learn, gradually improving its accuracy2. Machine learning enables machines to perform tasks that would otherwise only be possible for humans, such as categorizing images, analyzing data, or predicting price fluctuations2. Machine learning algorithms are typically created using frameworks that accelerate solution development, such as TensorFlow and PyTorch2. IoT, or Internet of Things, is a network of physical devices, vehicles, appliances, and other items embedded with sensors, software, and connectivity that enable these objects to exchange data and interact with each other3. IoT is not a scientific study of algorithms and statistical models, but a technological paradigm that connects various devices and systems to the internet. Big Data is a term that refers to the large, complex, and diverse sets of data that are generated at high speed from various sources, such as social media, sensors, web logs, or transactions4. Big Data is not a scientific study of algorithms and statistical models, but a data phenomenon that poses challenges and opportunities for analysis and processing. Blockchain is a system of storing and transferring information in a distributed, decentralized, and secure way using cryptographic principles and peer-to-peer networks5. Blockchain is not a scientific study of algorithms and statistical models, but a data structure and protocol that enables trustless and transparent transactions and records. References : Machine learning -Wikipedia; What Is Machine Learning? Definition, Types, and Examples; What is the Internet of Things (IoT)? | IBM; What is big data? | IBM; What is blockchain? | IBM.

Correct Answer: C

Explanation: A company with a variable number of employees would make good use of the cloud model because of subscription services. Subscription services are a type of cloud pricing model that allows customers to pay a fixed fee for a certain amount of cloud resources or services for a specific period of time, such as monthly or annually. Subscription services can offer benefits such as predictable costs, scalability, flexibility, and reduced upfront investment. A company with a variable number of employees can use subscription services to adjust the cloud resources or services according to the changing demand and size of the workforce, without wasting money on unused capacity or paying extra fees for exceeding the limit. Subscription services can also enable the company to access the latest cloud technologies and features without having to purchase or maintain them. The other options are not the best reasons for a company with a variable number of employees to use the cloud model. Multifactor authentication is a security method that requires users to provide two or more pieces of evidence to verify their identity, such as a password, a code, or a biometric factor. Multifactor authentication can enhance the security of the cloud services, but it is not related to the number of employees. Self-service is a cloud characteristic that allows users to provision, manage, and terminate cloud resources or services on demand, without requiring the intervention of the cloud provider or the IT department. Self-service can improve the efficiency and agility of the cloud services, but it is not related to the number of employees. Collaboration is a cloud benefit that enables users to work together on projects, documents, or tasks using cloud-based tools and platforms, such as online file sharing, video conferencing, or project management. Collaboration can increase the productivity and innovation of the cloud services, but it is not related to the number of employees. References: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (LO-002), Chapter 1: Cloud Principles and Design, Section 1.2: Cloud Computing Concepts, p. 26-27.