CLO-002 Exam Dumps - CompTIA Cloud Essentials Questions and Answers

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/

A reserved instance is a type of cloud instance that offers a discounted hourly rate and capacity reservation for a specific period of time, typically one or three years. Reserved instances are suitable for applications that have predictable usage patterns and require uninterrupted performance. By converting the server to a reserved instance, the IT department can reduce the costs of the server by up to 72%, compared to on-demand instances1. Additionally, reserved instances can provide more stability and availability than spot instances, which are subject to interruption and fluctuating prices. References: Spot Instances vs Reserved Instances: Which is The Right EC2 Pricing Model?; On-Demand vs Reserved vs Spot Instances | Incredibuild; Spot Instances - Amazon Elastic Compute Cloud.

 Pay-as-you-go is a cloud characteristic that applies to the scenario of reallocating capital expenditure to operating expenditure. Pay-as-you-go is a billing model in which customers only pay for the cloud resources and services they consume, without any upfront or fixed costs1. Pay-as-you-go allows customers to shift from CapEx to OpEx, as they do not need to invest in physical infrastructure or long-term contracts, but rather pay for what they use as they use it2. Pay-as-you-go also provides flexibility and scalability, as customers can adjust their usage and spending according to their needs and demand3.

BYOL stands for Bring Your Own License, which is a cloud characteristic that allows customers to use their existing software licenses on the cloud provider’s platform, instead of purchasing new licenses from the cloud provider4. BYOL can help customers save money and avoid vendor lock-in, but it does not necessarily affect the allocation of CapEx and OpEx.

Billing chargeback is a cloud characteristic that enables customers to allocate and track the costs of cloud resources and services to different departments, projects, or business units within their organization5. Billing chargeback can help customers optimize their cloud spending and improve accountability and transparency, but it does not directly influence the balance of CapEx and OpEx.

High availability is a cloud characteristic that refers to the ability of a cloud system to remain operational and accessible at all times, even in the event of failures or disruptions. High availability is achieved by using redundant and fault-tolerant components, such as servers, networks, and storage, that can automatically failover or switch to backup resources in case of an outage. High availability is an important benefit of cloud computing, as it ensures reliability and performance, but it does not relate to the distinction between CapEx and OpEx. References:

• 1: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 2, page 37.
• 2: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 3, page 71.
• 3: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 3, page 72.
• 4: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 2, page 40.
• 5: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 3, page 78.
• [6]: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 2, page 35.
• [7]: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 4, page 99.

Auto-scaling and CDN are two technologies that would help a game company prepare its cloud infrastructure to support a global distribution workload of a newly released online game.

Auto-scaling is the ability of a cloud service to automatically adjust the amount of resources, such as compute, storage, or bandwidth, based on the demand or load of the service. Auto-scaling can help a game company to handle the spikes or fluctuations in the number of players or traffic that may occur during the launch or peak times of a new online game. Auto-scaling can also help the game company to optimize the performance, availability, and cost of the cloud service, as it can scale up or down the resources as needed. Auto-scaling can be triggered by predefined rules, metrics, or schedules, or by using machine learning or artificial intelligence to predict the demand patterns12

CDN stands for Content Delivery Network, which is a network of distributed servers that deliver content, such as web pages, images, videos, or games, to the end-users based on their geographic location, the origin of the content, and the network conditions. CDN can help a game company to distribute its online game to a global audience, as it can reduce the latency, bandwidth, and load on the origin server, and improve the user experience, security, and reliability of the content delivery. CDN can also help the game company to cope with the high volume of requests or traffic that may occur during the launch or peak times of a new online game. CDN can use various techniques, such as caching, compression, encryption, or load balancing, to optimize the content delivery34

References: CompTIA Cloud Essentials+ Certification Exam Objectives5, CompTIA Cloud Essentials+ Study Guide, Chapter 4: Cloud Storage6, Chapter 6: Cloud Connectivity and Load Balancing7

Resource tagging is a method of assigning metadata to cloud resources, such as virtual machines, storage volumes, databases, or networks. Resource tags are key-value pairs that can be used for various purposes, such as identifying, organizing, grouping, filtering, or reporting on cloud resources. Resource tagging can also be used for billing recognition, which means tracking and allocating the costs of cloud resources to different departments, projects, or customers. By applying resource tags to cloud resources, department members can provision their own cloud resources and have their usage and costs automatically attributed to their department. Resource tags can also help department managers monitor and optimize their cloud spending, and enforce policies and budgets for their cloud resources. Sandboxing, BYOL, and reserved instances are not related to billing recognition. Sandboxing is a technique of creating isolated environments for testing or experimenting with cloud resources, without affecting the production environment. BYOL stands for bring your own license, which means using an existing software license for a cloud service, instead of purchasing a new license from the cloud provider. Reserved instances are a type of cloud pricing model that offers discounted rates for committing to a certain amount of cloud resources for a specific period of time. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 3: Cloud Business Principles, Section 3.4: Cloud Billing and Cost Management, Page 891 and Resource tagging best practices | Google Cloud

Data sovereignty is the most important aspect to consider when defining the company’s needs for a multicloud model. Data sovereignty refers to the legal and regulatory requirements that apply to the data based on its location and ownership. Different cloud providers and regions may have different laws and regulations that affect how the data can be stored, processed, accessed, and transferred. For example, some countries may require that data generated within their borders must be stored locally and not transferred to other jurisdictions. Some cloud providers may also have different policies and practices regarding data security, privacy, and compliance. Therefore, the company needs to understand the data sovereignty implications of using multiple cloud platforms and ensure that they comply with the relevant laws and regulations.

References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 2: Cloud Concepts and Models, Section 2.3: Cloud Deployment Models, p. 66-67.

Big data is a term that describes the large and diverse datasets that are generated from various sources at high speed and require advanced analytics techniques to process and extract value from them. Big data can help organizations gain insights, uncover patterns, and make informed decisions12

The company is implementing big data because it is using different information sources in combination with its current databases, which implies that the data is large in volume and variety. The company is also using the CSP’s solutions to ingest, transform, and process the information, which implies that the data is high in velocity and requires specialized tools and frameworks to handle it. The company is using big data analytics to analyze the results of its email marketing campaign, which can help it understand the effectiveness, impact, and return on investment of its marketing strategy34

Blockchain is not the correct answer, because blockchain is a technology that enables the creation and management of distributed, decentralized, and immutable ledgers of transactions. Blockchain can help organizations improve transparency, security, and trust in their business processes, but it is not related to the analysis of email marketing campaign results.

Social media is not the correct answer, because social media is a platform that enables the creation and sharing of content and information among users. Social media can help organizations communicate, engage, and interact with their customers, but it is not the main focus of the analysis of email marketing campaign results. Social media can be one of the information sources for big data, but it is not the same as big data.

IoT is not the correct answer, because IoT is a concept that refers to the network of physical devices, sensors, and machines that are connected to the internet and can collect and exchange data. IoT can help organizations improve efficiency, productivity, and innovation, but it is not related to the analysis of email marketing campaign results. IoT can be one of the information sources for big data, but it is not the same as big data.

References: 1: https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, page 36  2: https://cloud.google.com/learn/what-is-big-data  3: https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, page 48  4: https://www.ibm.com/cloud/blog/how-to-estimate-cloud-costs-a-pricing-crash-course : https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, page 40 : https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, page 38 : https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, page 39

According to the CompTIA Cloud Essentials+ CLO-002 Study Guide, there are four common risk response types: avoid, share or transfer, mitigate, and accept1. These are the appropriate responses to risks, depending on the risk type, assessment, and attitude. The other options are incorrect because they include terms that are not valid risk responses. For example, migrate is not a risk response, but a cloud deployment strategy. Validate is not a risk response, but a quality assurance technique. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 4: Cloud Security, Section 4.2: Cloud Security Concepts, Page 153.

 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.