AZ-900 Microsoft Azure Fundamentals: Exam Prep Question Bank

By Krumu Publisher

 

Unlock success in your journey to mastering Microsoft Azure with the ultimate exam preparation companion - 'AZ-900 Microsoft Azure Fundamentals: Exam Prep Question Bank'. This meticulously crafted resource is a comprehensive collection of 490 expertly curated multiple-choice questions, designed to equip you with the knowledge and confidence needed to excel in the AZ-900 certification exam.

Table of Contents:

Module 01: Describe cloud concepts (25–30%)
•    Describe cloud computing
•    Describe the benefits of using cloud services
•    Describe cloud service types
Module 02: Describe Azure architecture and services (35–40%)
•    Describe the core architectural components of Azure
•    Describe Azure compute and networking services
•    Describe Azure storage services
•    Describe Azure identity, access, and security
Module 03: Describe Azure management and governance (30–35%)
•    Describe cost management in Azure
•    Describe features and tools in Azure for governance and compliance
•    Describe features and tools for managing and deploying Azure resources
•    Describe monitoring tools in Azure

Dive into the world of cloud computing and Azure services as you navigate through a variety of question types, including True/False statements, single-select answer questions, and challenging multiple-choice queries. Each question has been meticulously sourced from Microsoft's official learning documents, ensuring that you're exposed to the very essence of the topics tested in the AZ-900 exam.

The brilliance of this book lies not just in its extensive question bank, but in the insightful answers and explanations provided for each question. Delve into a goldmine of knowledge that clarifies concepts, dissects the reasoning behind each answer, and helps you understand the 'why' behind the 'what'. Whether you're a beginner looking to establish a solid foundation in Azure fundamentals or an aspiring cloud professional aiming to sharpen your skills, this book serves as your trusted guide to success.

Prepare with the confidence that you're arming yourself with the precise information found in the official Microsoft documentation. Immerse yourself in the world of virtual machines, Azure services, identity management, security, and more, all while mastering the skills necessary to navigate the complexities of cloud computing.

As you strive for exam readiness, remember that this book isn't just about passing a test. It's a valuable resource that empowers you to excel in interviews for coveted cloud computing positions. With the depth and breadth of knowledge packed within its pages, you'll find yourself not just prepared for the AZ-900 exam, but equipped to excel in real-world scenarios and discussions about Microsoft Azure.

Elevate your Azure journey today with 'AZ-900 Microsoft Azure Fundamentals: Exam Prep Question Bank'. Unravel the mysteries of cloud computing, solidify your understanding of Azure services, and embrace a future filled with boundless possibilities in the realm of cloud technology.

 

• Language: English
• Publisher: Krumu Publisher
• Release date: Mar 30, 2024
• ISBN: 9798224860630

Book preview

About this Book

Unlock success in your journey to mastering Microsoft Azure with the ultimate exam preparation companion - 'AZ-900 Microsoft Azure Fundamentals: Exam Prep Question Bank'. This meticulously crafted resource is a comprehensive collection of 490 expertly curated multiple-choice questions, designed to equip you with the knowledge and confidence needed to excel in the AZ-900 certification exam.

Dive into the world of cloud computing and Azure services as you navigate through a variety of question types, including True/False statements, single-select answer questions, and challenging multiple-choice queries. Each question has been meticulously sourced from Microsoft's official learning documents, ensuring that you're exposed to the very essence of the topics tested in the AZ-900 exam.

The brilliance of this book lies not just in its extensive question bank, but in the insightful answers and explanations provided for each question. Delve into a goldmine of knowledge that clarifies concepts, dissects the reasoning behind each answer, and helps you understand the 'why' behind the 'what'. Whether you're a beginner looking to establish a solid foundation in Azure fundamentals or an aspiring cloud professional aiming to sharpen your skills, this book serves as your trusted guide to success.

Prepare with the confidence that you're arming yourself with the precise information found in the official Microsoft documentation. Immerse yourself in the world of virtual machines, Azure services, identity management, security, and more, all while mastering the skills necessary to navigate the complexities of cloud computing.

As you strive for exam readiness, remember that this book isn't just about passing a test. It's a valuable resource that empowers you to excel in interviews for coveted cloud computing positions. With the depth and breadth of knowledge packed within its pages, you'll find yourself not just prepared for the AZ-900 exam, but equipped to excel in real-world scenarios and discussions about Microsoft Azure.

Elevate your Azure journey today with 'AZ-900 Microsoft Azure Fundamentals: Exam Prep Question Bank'. Unravel the mysteries of cloud computing, solidify your understanding of Azure services, and embrace a future filled with boundless possibilities in the realm of cloud technology.

Document Control

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Thank you for choosing 'AZ-900 Microsoft Azure Fundamentals: Exam Prep Question Bank' as your trusted resource for exam preparation and skill enhancement in the realm of Microsoft Azure. We wish you success on your journey to mastering the cloud.

Contents

About this Book

Document Control

Module 01: Describe cloud concepts (25–30%)

 Describe cloud computing

 Describe the benefits of using cloud services

 Describe cloud service types

Module 02: Describe Azure architecture and services (35–40%)

 Describe the core architectural components of Azure

 Describe Azure compute and networking services

 Describe Azure storage services

 Describe Azure identity, access, and security

Module 03: Describe Azure management and governance (30–35%)

 Describe cost management in Azure

 Describe features and tools in Azure for governance and compliance

 Describe features and tools for managing and deploying Azure resources

 Describe monitoring tools in Azure

Index

Module 01: Describe cloud concepts (25–30%)

  Describe cloud computing

Question#1: Azure, Amazon Web Services, Google App Engine, and Force.com are examples of public clouds.

a) True

b) False

Correct Answer: a) True

Explanation:  This statement is true. Azure, Amazon Web Services (AWS), Google App Engine, and Force.com are all examples of public clouds. Public clouds are cloud computing services that are accessible to the general public and hosted by a third-party provider. They offer resources such as virtual machines, storage, and applications that can be accessed over the internet.

Question#2: What term is used to describe a private datacenter that takes advantage of the unified resource model enabled by virtualization?

a) Public cloud

b) Hybrid cloud

c) Private cloud

d) Community cloud

Correct Answer: c) Private cloud

Explanation:  The term used to describe a private datacenter that takes advantage of the unified resource model enabled by virtualization is a private cloud. A private cloud is a cloud infrastructure that is used exclusively by a single organization or company. It utilizes virtualization technology to provide a flexible and scalable environment for hosting applications and services. Unlike public clouds, which are accessible to the general public, private clouds are dedicated to a specific organization's needs and are typically hosted on-premises or in a datacenter controlled by the organization.

Question#3: Utility computing has been a long-standing vision in the computer automation space.

a) True

b) False

Correct Answer: a) True

Explanation:  This statement is true. Utility computing has indeed been a long-standing vision in the computer automation space. Utility computing refers to the concept of providing computing resources, such as processing power and storage, on demand, similar to the way utilities like electricity are provided. The idea is to treat computing resources as a utility that can be accessed and paid for as needed, rather than having to make significant upfront investments in hardware and infrastructure. This concept has been discussed and explored for several decades, with the goal of making computing more accessible and cost-effective for businesses and individuals.

Question#4: What technology made utility computing a reality by decoupling the operating system and applications from physical hardware?

a) Virtualization

b) Cloud computing

c) Big data

d) Artificial intelligence

Correct Answer: a) Virtualization

Explanation:  Virtualization is the technology that made utility computing a reality by decoupling the operating system and applications from physical hardware. Virtualization allows for the creation of virtual machines or virtualized environments, where multiple virtual instances can run on a single physical server. This enables the efficient utilization of hardware resources and provides the flexibility to allocate and manage computing resources as needed. With virtualization, the operating system and applications are abstracted from the underlying hardware, enabling portability, scalability, and improved resource management - key characteristics of utility computing. Cloud computing, big data, and artificial intelligence are all related but distinct technologies that can leverage virtualization to provide additional capabilities and benefits.

Question#5: Microsoft's Dynamic Systems Initiative (DSI) was successful in providing utility-like characteristics to datacenter operators.

a) True

b) False

Correct Answer: b) False

Explanation:  This statement is false. Microsoft's Dynamic Systems Initiative (DSI) was not successful in providing utility-like characteristics to datacenter operators. The DSI was an initiative by Microsoft to simplify and automate the management of IT systems, but it did not specifically focus on providing utility-like characteristics. Utility computing, as mentioned in the previous question, refers to the concept of providing computing resources on demand, similar to utilities like electricity. While Microsoft has made advancements in cloud computing with its Azure platform, the DSI was not directly associated with utility computing.

Question#6: What are some characteristics of utility computing?

a) Highly automated

b) Self-managed

c) Self-optimizing

d) On-premises deployment

Correct Answer: a) Highly automated , b) Self-managed , c) Self-optimizing

Explanation:  Utility computing is characterized by the following:

a) Highly automated: Utility computing involves the automation of various processes and tasks related to the provisioning, management, and scaling of computing resources. This automation helps streamline operations and reduce the need for manual intervention.

b) Self-managed: Utility computing systems are designed to be self-managed, meaning they can handle routine tasks and maintenance without requiring constant manual intervention. This allows organizations to free up their resources for other critical tasks.

c) Self-optimizing: Utility computing platforms have the capability to optimize resource allocation and utilization based on demand. They can dynamically allocate and reallocate resources to ensure optimal performance and efficiency.

The option d) On-premises deployment is not a characteristic of utility computing. Utility computing is more commonly associated with cloud-based deployments, where computing resources are hosted and managed by a third-party provider. However, utility computing can be deployed both on-premises and in the cloud, so this option is not exclusively correct.

Question#7: Which term refers to the concept of treating compute, storage, and networking as a homogenous resource pool in a private cloud?

a) Virtualization

b) Automation

c) Unified resource model

d) Hybrid cloud

Correct Answer: c) Unified resource model

Explanation:  The term that refers to the concept of treating compute, storage, and networking as a homogenous resource pool in a private cloud is the unified resource model. The unified resource model is a fundamental concept in private cloud architectures where compute, storage, and networking resources are abstracted and pooled together. This allows for efficient utilization, dynamic allocation, and management of these resources based on the needs of applications and workloads. Virtualization and automation are related technologies that enable the implementation and operation of the unified resource model, but they are not the specific term used to describe it. Hybrid cloud refers to a combination of public and private cloud environments and is not directly related to this concept.

Question#8: Virtualization enables automated processes for on-demand streaming of operating systems and dependent resources.

a) True

b) False

Correct Answer: a) True

Explanation:  This statement is true. Virtualization enables automated processes for on-demand streaming of operating systems and dependent resources. With virtualization, operating systems and their dependent resources, such as applications and data, can be encapsulated into virtual machines (VMs) or containers. These VMs or containers can then be easily provisioned and deployed on-demand, allowing for the rapid creation and scaling of virtualized environments. This automation streamlines the process of deploying and managing operating systems and their resources and enables efficient resource utilization in cloud computing environments.

Question#9: Which cloud platforms are examples of public clouds?

a) Azure

b) Google App Engine

c) Private cloud

d) Force.com

Correct Answer: a) Azure , b) Google App Engine , d) Force.com

Explanation:  The public cloud platforms among the given options are:

a) Azure: Azure is a public cloud computing platform provided by Microsoft. It offers a wide range of services and resources for developing, deploying, and managing applications and services.

b) Google App Engine: Google App Engine is also a public cloud platform that enables developers to build and host web applications using Google's infrastructure. It abstracts away the underlying infrastructure and provides an environment for scalable and flexible application development.

d) Force.com: Force.com, now known as Salesforce Platform, is another public cloud platform provided by Salesforce. It is primarily focused on providing a platform for app development and customization on the Salesforce ecosystem.

Option c) Private cloud is not an example of a public cloud. Private clouds are dedicated environments that are used exclusively by a single organization, while public clouds are shared environments accessible to the general public.

Question#10: What initiative from Microsoft aimed to provide utility-like characteristics to datacenter operators?

a) Dynamic Systems Initiative (DSI)

b) Azure Services Platform

c) Amazon Web Services (AWS)

d) Google Cloud Platform (GCP)

Correct Answer: a) Dynamic Systems Initiative (DSI)

Explanation:  The initiative from Microsoft that aimed to provide utility-like characteristics to datacenter operators is the Dynamic Systems Initiative (DSI). The DSI was introduced by Microsoft as an effort to simplify and automate the management of IT systems and make them more efficient and adaptable. It focused on improving the entire lifecycle of managing IT infrastructure, including provisioning, monitoring, and troubleshooting. The Azure Services Platform, Amazon Web Services (AWS), and Google Cloud Platform (GCP) are examples of cloud computing platforms and services provided by Microsoft, Amazon, and Google respectively, but they are not specifically related to the DSI initiative.

Question#11: Which term refers to the delivery of computing services over the internet?

a) Cloud computing

b) Multicloud

c) Edge computing

d) Elastic computing

Correct Answer: a) Cloud computing

Explanation:  The term that refers to the delivery of computing services over the internet is cloud computing. Cloud computing is a model where computing resources like processing power, storage, and applications are provided as services over the internet. Users can access and utilize these resources on-demand, without having to manage the underlying infrastructure. Multicloud refers to the use of multiple cloud computing services or providers, edge computing refers to processing data closer to the source or edge devices, and elastic computing refers to the ability to quickly scale computing resources up or down based on demand. However, none of these terms specifically refer to the delivery of computing services over the internet like cloud computing does.

Question#12: Which terms can be used to describe services provided via the cloud?

a) Cloud computing

b) Cloud-native

c) Infrastructure as a Service (IaaS)

d) Software as a Service (SaaS)

Correct Answer: a) Cloud computing , c) Infrastructure as a Service (IaaS) , d) Software as a Service (SaaS)

Explanation:  The terms that can be used to describe services provided via the cloud are:

a) Cloud computing: This term encompasses the entire concept of delivering computing resources and services over the internet. It includes various models like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

c) Infrastructure as a Service (IaaS): This refers to a cloud computing model where virtualized computing resources like virtual machines, storage, and networks are provided as a service. Users can provision, manage, and control these resources over the internet.

d) Software as a Service (SaaS): This refers to a cloud computing model where software applications are provided as a service over the internet. Users can access and use these applications without having to install or maintain them locally.

Option b) Cloud-native is not specifically a term used to describe services provided via the cloud but rather refers to software or applications that are specifically designed to run on cloud platforms and leverage cloud-native technologies and architectures. Although it is closely related to cloud computing, it is not a direct description of the services provided.

Question#13: What does the term `hosted service` refer to?

a) A service hosted on a local server

b) A service hosted by a cloud provider and accessed over the internet

c) A service hosted on a hybrid cloud platform

d) A service hosted on a private cloud

Correct Answer: b) A service hosted by a cloud provider and accessed over the internet

Explanation:  The term hosted service refers to a service that is hosted by a cloud provider and accessed over the internet. In this context, the service is not hosted on a local server or specifically on a hybrid cloud platform or private cloud. Hosting a service on a cloud provider allows for scalability, flexibility, and easy access from anywhere with an internet connection. It is a key characteristic of cloud computing where resources like software applications, virtual machines, or storage are provided as services by a third-party provider and made accessible to users over the internet.

Question#14: The term `the Microsoft Cloud` refers specifically to the Azure platform.

a) True

b) False

Correct Answer: b) False

Explanation:  This statement is false. The term the Microsoft Cloud does not refer specifically to the Azure platform. While Azure is a significant part of Microsoft's cloud offerings, the Microsoft Cloud is a broader term that encompasses a range of cloud-based services and platforms provided by Microsoft. This includes not only Azure, but also other products like Microsoft 365 (formerly Office 365) for productivity and collaboration, Dynamics 365 for business applications, and other cloud-based services from Microsoft. Azure is an important component, but it does not exclusively define the Microsoft Cloud.

Question#15: What terms can be used to describe the use of multiple cloud computing services from different providers?

a) Multicloud

b) Cloud bursting

c) Multitenant

d) Hybrid cloud

Correct Answer: a) Multicloud , d) Hybrid cloud

Explanation:  The terms that can be used to describe the use of multiple cloud computing services from different providers are:

a) Multicloud: This refers to the practice of using multiple cloud computing services from different providers. It allows organizations to leverage the strengths and features of different cloud providers while avoiding vendor lock-in.

d) Hybrid cloud: This refers to the combination of both public and private cloud environments. It allows organizations to have a mix of on-premises infrastructure and resources from different cloud providers. The hybrid cloud model enables greater flexibility and scalability.

Option b) Cloud bursting refers to the practice of dynamically scaling an application or workload from a private cloud to a public cloud to meet increased demand. It is related to the hybrid cloud model, but it specifically focuses on scaling from a private cloud to a public cloud.

Option c) Multitenant refers to a cloud architecture where multiple users or tenants share the same computing resources within a cloud environment. It doesn't specifically relate to using multiple cloud computing services from different providers.

Question#16: What term is used to describe computing that shifts data processing closer to a device or system that requires it?

a) Edge computing

b) Cloud bursting

c) Elastic computing

d) Multitenancy

Correct Answer: a) Edge computing

Explanation:  The term used to describe computing that shifts data processing closer to a device or system that requires it is edge computing. Edge computing is a distributed computing model where data processing and storage are moved closer to the edge of the network, near the source of data generation or the devices that require real-time processing. This approach helps to reduce latency, improve efficiency, and enable faster decision-making by processing data locally rather than sending it to a central or cloud-based datacenter. Cloud bursting refers to the practice of dynamically scaling an application from a private cloud to a public cloud to meet increased demand. Elastic computing refers to the ability to quickly scale computing resources up or down based on demand. Multitenancy refers to a cloud architecture where multiple users or tenants share the same computing resources within a cloud environment.

Question#17: `Cloud OS` is an appropriate term to use when referring to platform as a service (PaaS).

a) True

b) False

Correct Answer: b) False

Explanation:  This statement is false. The term `Cloud OS` is not an appropriate term to use when referring to Platform as a Service (PaaS). PaaS is a cloud computing service model that provides a platform for developers to build, deploy, and manage applications without dealing with the underlying infrastructure. PaaS typically abstracts away the complexity of operating systems and hardware, allowing developers to focus on coding and application development. The term `Cloud OS` is more commonly used to refer to an operating system specifically designed or optimized for cloud environments, which is different from the concept of PaaS.

Question#18: Which term is used to describe the use of cloud computing to quickly expand or decrease resources to meet changing demands?

a) Elastic computing

b) Cloud bursting

c) Cloud native

d) Multitenancy

Correct Answer: a) Elastic computing

Explanation:  The term used to describe the use of cloud computing to quickly expand or decrease resources to meet changing demands is elastic computing. Elastic computing refers to the capacity of cloud computing systems to dynamically scale resources up or down based on demand. It enables organizations to rapidly adjust their computing resources to match fluctuating workloads, ensuring optimal performance and cost efficiency. Cloud bursting, on the other hand, refers specifically to the practice of scaling an application from a private cloud to a public cloud to handle surges in demand. Cloud-native refers to software or applications that are specifically designed to run on cloud platforms, and multitenancy refers to