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AZ-900: Microsoft Azure Fundamentals
Microsoft
Exam Questions:
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The Microsoft Certified: Azure Fundamentals (AZ-900) exam is a crucial certification for anyone aiming to advance their career in cloud computing on Microsoft Azure. Our topic is your ultimate resource for AZ-900 practice test shared by individuals who have successfully passed the exam. These practice tests provide real-world scenarios and invaluable insights to help you ace your preparation.
Why Use AZ-900 Practice Test?
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Real Exam Experience: Our practice test accurately replicates the format and difficulty of the actual Microsoft AZ-900 exam, providing you with a realistic preparation experience.
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Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.
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Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.
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Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.
Key Features of AZ-900 Practice Test:
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Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.
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Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.
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Comprehensive Coverage: The practice test covers all key topics of the Microsoft AZ-900 exam, including cloud concepts, Azure architecture, and services.
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Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.
Exam number: AZ-900
Exam name: Microsoft Certified: Azure Fundamentals
Length of test: 45 minutes
Exam format: Multiple-choice and multiple-response questions.
Exam language: English
Number of questions in the actual exam: Maximum of 40 questions
Passing score: 700/1000
Use the member-shared Microsoft AZ-900 Practice Test to ensure you’re fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!
Related questions
DRAG DROP
Match the Azure service to the correct definition.
Instructions: To answer, drag the appropriate Azure service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all. NOTE: Each correct match is worth one point.
Explanation:
Box 1: Azure DevOps.
Azure DevOps is Microsoft’s primary software development and deployment platform.
DevOps influences the application lifecycle throughout its plan, develop, deliver and operate phases.
Box 2: Azure Advisor.
Advisor is a personalized cloud consultant that helps you follow best practices to optimize your Azure deployments. It analyzes your resource configuration and usage telemetry and then recommends solutions that can help you improve the cost effectiveness, performance, high availability, and security of your Azure resources.
Box 3: Azure Cognitive Services.
Azure Cognitive Services are APIs, SDKs, and services available to help developers build intelligent applications without having direct AI or data science skills or knowledge. Azure Cognitive Services enable developers to easily add cognitive features into their applications. The goal of Azure Cognitive Services is to help developers create applications that can see, hear, speak, understand, and even begin to reason. The catalog of services within Azure Cognitive Services can be categorized into five main pillars - Vision, Speech, Language, Web Search, and Decision. Box 4. Azure Application Insights.
Azure Application Insights detects and diagnoses anomalies in web apps.
Application Insights, a feature of Azure Monitor, is an extensible Application Performance Management (APM) service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools to help you diagnose issues and to understand what users actually do with your app.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview
https://azure.microsoft.com/en-gb/overview/what-is-devops/
https://docs.microsoft.com/en-us/azure/advisor/advisor-overview
https://docs.microsoft.com/en-us/azure/cognitive-services/welcome
Your company plans to migrate all its data and resources to Azure.
The company’s migration plan states that only Platform as a Service (PaaS) solutions must be used in Azure. You need to deploy an Azure environment that meets the company’s migration plan.
What should you create?
Unlock Premium Member
DRAG DROP
Match the Azure Cloud Services benefit to the correct description.
Instructions: To answer, drag the appropriate benefit from the column on the left to its description on the right. Each benefit may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Explanation:
Box 1:
Fault tolerance is the ability of a service to remain available after a failure of one of the components of the service. For example, a service running on multiple servers can withstand the failure of one of the servers.
Box 2:
Disaster recovery is the recovery of a service after a failure. For example, restoring a virtual machine from backup after a virtual machine failure.
Box 3:
Dynamic scalability is the ability for compute resources to be added to a service when the service is under heavy load. For example, in a virtual machine scale set, additional instances of the virtual machine are added when the existing virtual machines are under heavy load.
Box 4:
Latency is the time a service to respond to requests. For example, the time it takes for a web page to be returned from a web server. Low latency means low response time which means a quicker response.
References:
https://msdn.microsoft.com/en-us/magazine/mt422582.aspx
https://searchdisasterrecovery.techtarget.com/definition/cloud-disaster-recovery-cloud-DR
http://www.siasmsp.com/the-benefit-of-scalability-in-cloud-computing-2/
https://azure.microsoft.com/en-in/overview/what-is-cloud-computing/
You have an Azure environment that contains multiple Azure virtual machines.
You plan to implement a solution that enables the client computers on your on-premises network to communicate to the Azure virtual machines. You need to recommend which Azure resources must be created for the planned solution.
Which two Azure resources should you include in the recommendation? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Explanation:
To implement a solution that enables the client computers on your on-premises network to communicate to the Azure virtual machines, you need to configure a VPN (Virtual Private Network) to connect the on-premises network to the Azure virtual network.
The Azure VPN device is known as a Virtual Network Gateway. The virtual network gateway needs to be located in a dedicated subnet in the Azure virtual network. This dedicated subnet is known as a gateway subnet and must be named 'GatewaySubnet'.
Note: a virtual network (answer D) is also required. However, as we already have virtual machines deployed in a Azure, we can assume that the virtual network is already in place. References: https://docs.microsoft.com/en-us/office365/enterprise/connect-an-on-premises-network-to-a-microsoft-azure-virtual-network
You have a set of Azure policies. You need to group related policies together. What should you use?
exemptions
metadata
parameters
initiatives
You need to collect and automatically analyze security events from Azure Active Directory (Azure AD).
What should you use?
DRAG DROP
Match the Azure Services service to the correct descriptions.
Instructions: To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Explanation:
Box 1: Azure Sentinel
Box 2: Azure Security Center
Box 3: Azure Key Vault
Incorrect Answer:
Azure Active Directory (Azure AD)
Azure Active Directory (Azure AD)
Azure AD is an identity and access management service, which helps your employees sign in and access resources
Azure Lighthouse
Azure Lighthouse
Azure Lighthouse is used for cross- and multi-tenant management.
Reference:
https://docs.microsoft.com/en-us/azure/sentinel/overview
https://docs.microsoft.com/en-us/azure/security-center/secure-score-security-controls
https://practical365.com/securing-sensitive-information-in-azure-functions-with-the-azure-key-vault/
https://docs.microsoft.com/en-us/azure/active-directory/fundamentals/active-directory-whatis
https://docs.microsoft.com/en-us/azure/lighthouse/overview
DRAG DROP
Match the Azure Services service to the correct description.
Instructions: To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure-sphere/product-overview/what-is-azure-sphere
https://docs.microsoft.com/en-us/azure/iot-central/core/overview-iot-central
https://docs.microsoft.com/en-us/azure/iot-hub/about-iot-hub
DRAG DROP
Match the Azure services to the correct descriptions.
Instructions: To answer, drag the appropriate Azure service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point
Explanation:
Box 1: Azure SQL Synapse Analytics
Azure SQL Synapse Analytics (previously called Data Warehouse) is a cloud-based Platform-as-a-Service (PaaS) offering from Microsoft. It is a large-scale, distributed, MPP (massively parallel processing) relational database technology in the same class of competitors as Amazon Redshift or Snowflake. Azure SQL Synapse Analytics is an important component of the Modern Data Warehouse multi-platform architecture. Because Azure SQL Synapse Analytics is an MPP system with a shared-nothing architecture across distributions, it is meant for large-scale analytical workloads which can take advantage of parallelism.
Box 2:
Azure Machine Learning uses past trainings to provide predictions that have high probability.
Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends. By using machine learning, computers learn without being explicitly programmed. Forecasts or predictions from machine learning can make apps and devices smarter. For example, when you shop online, machine learning helps recommend other products you might want based on what you've bought.
Box 3:
Azure Functions provides serverless computing functionalities.
Azure Functions is a serverless compute service that lets you run event-triggered code without having to explicitly provision or manage infrastructure.
Box 4:
IoT Hub (Internet of things Hub) provides data from millions of sensors.
IoT Hub is a managed service, hosted in the cloud, that acts as a central message hub for bi-directional communication between your IoT application and the devices it manages. You can use Azure IoT Hub to build IoT solutions with reliable and secure communications between millions of IoT devices and a cloud-hosted solution backend. You can connect virtually any device to IoT Hub.
Reference:
https://azure.microsoft.com/en-gb/services/synapse-analytics/
https://docs.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-ml
https://docs.microsoft.com/en-us/azure/iot-hub/about-iot-hub
https://docs.microsoft.com/en-us/azure/azure-functions/functions-overview
Your company has an Azure subscription that contains the following unused resources:
20 user accounts in Azure Active Directory (Azure AD)
Five groups in Azure AD
10 public IP addresses
10 network interfaces
You need to reduce the Azure costs for the company.
Which unused resources should you remove?
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