Download Full Version CLO-002 CompTIA Exam

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.

Spot instances are cloud resources that are available at a lower price than on-demand instances, but can be terminated by the cloud provider at any time based on supply and demand. Therefore, the application that will run on these instances needs to handle unpredictable instance termination, such as by saving state information, implementing fault tolerance, or using checkpoints12.

The other options are not directly related to the use of spot instances. The application may or may not need to store data in a database, depending on its functionality and design. There is no inherent restriction for distributed network communications when using spot instances, as long as the application can handle network latency and bandwidth issues. Resource-intensive compute loads are not forbidden, but they may increase the likelihood of instance termination, as the cloud provider may reclaim the resources for higher-paying customers.

References:

• [CompTIA Cloud Essentials+ CLO-002 Study Guide], Chapter 2: Business Principles of Cloud Environments, Section 2.4: Cloud Service Costing, p. 81-82
• [CompTIA Cloud+ CV0-003 Study Guide], Chapter 6: Optimizing the Cloud Environment, Section 6.3: Cloud Optimization Techniques, p. 287-288
• [CompTIA Cloud Essentials+ CLO-002 Study Guide], ISBN: 978-1-119-64768-9, Publisher: Wiley
• [CompTIA Cloud+ CV0-003 Study Guide], ISBN: 978-1-119-64767-2, Publisher: Wiley