Get the Real CompTIA CLO-002 Exam Dumps In Different Formats

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In preparation for the CompTIA Cloud Essentials+ Certification exam, candidates can take advantage of a variety of resources, including online training courses, study guides, and practice exams. CompTIA also offers a Cloud Essentials+ Certification Training Program, which provides comprehensive training in cloud computing concepts and technologies, as well as exam preparation tips and strategies.

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CompTIA Cloud Essentials+ Certification Exam Sample Questions (Q158-Q163):

NEW QUESTION # 158
Which of the following cloud characteristics helps transform from a typical capital expenditure model to an operating expenditure model?

A. Pay-as-you-go
B. Self-service
C. Availability
D. Elasticity

Answer: A

Explanation:
Pay-as-you-go is a pricing model in which customers pay only for the resources they consume, such as compute, storage, network, or software services4. Pay-as-you-go helps transform from a typical capital expenditure model to an operating expenditure model by eliminating the upfront costs of purchasing and maintaining physical infrastructure and software licenses5. Pay-as-you-go also provides flexibility and scalability to adjust the resource consumption according to the changing business needs6.
Reference:
Consumption and fixed cost models, Microsoft Azure Well-Architected Framework What is Cloud Elasticity in Cloud Computing?, The Iron.io Blog CompTIA Cloud Essentials CLO-002 Certification Study Guide, Chapter 2: Business Principles of Cloud Environments, page 51

NEW QUESTION # 159
A vendor stipulates it will provide incident response within two hours of a severity level A incident.
Which of the following does this describe?

A. Managed service agreement
B. Maintenance agreement
C. Service level agreement
D. Operating level agreement

Answer: C

NEW QUESTION # 160
Which of the following are aspects of cloud data availability? (Choose two.)

A. Auto-scaling
B. Resource tagging
C. Data sovereignty
D. Geo-redundancy
E. Locality
F. Zones

Answer: D,F

Explanation:
Cloud data availability is the process of ensuring that data is accessible to end users and applications, when and where they need it. It defines the degree or extent to which data is readily usable along with the necessary IT and management procedures, tools and technologies required to enable, manage and continue to make data available1. Cloud data availability is influenced by several aspects, such as:
Zones: Zones are logical or physical partitions of a cloud region that have independent power, cooling, and networking infrastructure. They are designed to isolate failures within a region and provide high availability and fault tolerance for cloud services and data. For example, Google Cloud2 and Azure3 offer availability zones that allow users to distribute their resources and data across multiple zones within a region, ensuring that if one zone experiences an outage, the other zones can continue to function and serve the data.
Geo-redundancy: Geo-redundancy is the practice of replicating or storing data across multiple geographic locations or regions. It is intended to improve data availability and durability by protecting data from regional disasters, network failures, or malicious attacks. For example, Google Cloud2 and Azure3 offer geo-redundant storage options that allow users to store their data in two or more regions, ensuring that if one region becomes unavailable, the data can be accessed from another region.
Resource tagging is the practice of assigning metadata or labels to cloud resources, such as instances, volumes, or buckets. It is used to organize, manage, and monitor cloud resources and data, but it does not directly affect data availability.
Data sovereignty is the concept that data is subject to the laws and regulations of the country or region where it is stored or processed. It is a legal and compliance issue that affects data security, privacy, and governance, but it does not directly affect data availability.
Locality is the concept that data is stored or processed close to the source or destination of the data. It is used to optimize data performance, latency, and bandwidth, but it does not directly affect data availability.
Auto-scaling is the practice of automatically adjusting the amount or type of cloud resources, such as instances, nodes, or pods, based on the demand or load of the data. It is used to optimize data efficiency, scalability, and reliability, but it does not directly affect data availability. Reference:
Cloud Storage | Google Cloud
Data Availability: Ensuring Continued Functioning of Business Ops
What are Azure availability zones? | Microsoft Learn
What is Data Availability? - Definition from Techopedia

NEW QUESTION # 161
Which of the following allows an IP address to be referenced via an easily remembered name for a SaaS application?

A. DNS
B. VPN
C. CDN
D. WAN

Answer: A

Explanation:
DNS stands for Domain Name System, which is a service that translates domain names into IP addresses. Domain names are easier to remember than IP addresses, and they can also change without affecting the users. For example, a SaaS application can have a domain name like www.saas.com, which can be resolved to different IP addresses depending on the location, availability, and performance of the servers. DNS allows users to access the SaaS application by typing the domain name in their browser, instead of memorizing the IP address. Reference: https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, Chapter 2, page 43.

NEW QUESTION # 162
Which of the following cloud migration methods would be BEST suited for disaster recovery scenarios?

A. Rip and replace
B. Replatforming
C. Lift and shift
D. Phased

Answer: B

NEW QUESTION # 163
......

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Get the Real CompTIA CLO-002 Exam Dumps In Different Formats

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CompTIA Cloud Essentials+ Certification Exam Sample Questions (Q158-Q163):

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