test0 Flashcards
You are designing an Azure governance solution.
All Azure resources must be easily identifiable based on the following operational information: environment, owner, department and cost center.
You need to ensure that you can use the operational information when you generate reports for the Azure resources.
What should you include in the solution?
A. an Azure data catalog that uses the Azure REST API as a data source
B. an Azure management group that uses parent groups to create a hierarchy
C. an Azure policy that enforces tagging rules
D. Azure Active Directory (Azure AD) administrative units
The correct answer is C. an Azure policy that enforces tagging rules.
Here’s why:
Tags are the Key: Azure tags are key-value pairs that you can apply to Azure resources. They are specifically designed to store metadata like environment, owner, department, and cost center. This allows you to easily filter, group, and report on your resources based on these operational details.
Azure Policy Enforces Consistency: Using Azure Policy, you can define rules that require specific tags to be present when resources are created or updated. This ensures that all resources are consistently tagged with the necessary information. Without policy, users might forget or apply tags inconsistently, making reporting difficult.
Let’s look at why the other options are not the best fit:
A. an Azure data catalog that uses the Azure REST API as a data source: Azure Data Catalog is a metadata management service that helps you discover, understand, and consume data. While it could potentially be used to collect and store tag information, it’s not the primary tool for enforcing tagging or making it consistently available.
B. an Azure management group that uses parent groups to create a hierarchy: Management groups are for organizing and managing subscriptions, not for tagging individual resources. They can help you apply policy at a high level, but they don’t provide the granular operational information you need for each resource.
D. Azure Active Directory (Azure AD) administrative units: Administrative units in Azure AD are for delegating administrative permissions to specific sets of users and resources. They do not directly relate to resource tagging and reporting of operational information.
In summary, to ensure resources are consistently tagged with operational information for reporting, you need to enforce tagging rules, which is best achieved with an Azure Policy.
You are designing a large Azure environment that will contain many subscriptions.
You plan to use Azure Policy as part of a governance solution.
To which three scopes can you assign Azure Policy definitions? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Azure Active Directory (Azure AD) administrative units
B. Azure Active Directory (Azure AD) tenants
C. subscriptions
D. compute resources
E. resource groups
F. management groups
The correct answers are C. subscriptions, E. resource groups, and F. management groups.
Here’s why:
Subscriptions (C): Azure Policies can be assigned directly to Azure subscriptions. This allows you to enforce policies across all resources within that subscription. This is a very common level for applying policies.
Resource Groups (E): Policies can be assigned at the resource group level, which provides granular control over a specific collection of resources. This is useful for applying different policies to different application environments or projects.
Management Groups (F): Management groups are designed to create a hierarchy above subscriptions, allowing you to apply policies to entire groups of subscriptions within your Azure environment. This is useful for establishing overarching governance rules for many subscriptions at once.
Let’s look at why the other options are not correct scopes for assigning Azure Policy definitions:
A. Azure Active Directory (Azure AD) administrative units: Azure AD administrative units are used for managing users and groups within Azure AD, not for managing resource policies.
B. Azure Active Directory (Azure AD) tenants: While Azure Policy definitions are created at the tenant level (so they can be used across subscriptions), policies are assigned to management groups, subscriptions or resource groups, not directly to the tenant.
D. Compute resources: While Azure Policy can apply to compute resources, you can’t directly assign a policy to an individual compute resource. Policies must be applied to management groups, subscriptions, or resource groups which contain resources.
Key takeaway: Azure Policy scopes are hierarchical, starting with Management Groups at the top, then Subscriptions, and then Resource Groups. This allows you to enforce consistent governance across your Azure environment at various levels of granularity.
HOTSPOT -
You plan to create an Azure environment that will contain a root management group and 10 child management groups. Each child management group will contain five Azure subscriptions. You plan to have between 10 and 30 resource groups in each subscription.
You need to design an Azure governance solution. The solution must meet the following requirements:
✑ Use Azure Blueprints to control governance across all the subscriptions and resource groups.
✑ Ensure that Blueprints-based configurations are consistent across all the subscriptions and resource groups.
✑ Minimize the number of blueprint definitions and assignments.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer Area
Level at which to define the blueprints:
The child management groups
The root management group
The subscriptions
Level at which to create the blueprint assignments:
The child management groups
The root management group
The subscriptions
Level at which to define the blueprints:
The root management group
Level at which to create the blueprint assignments:
The child management groups
Explanation:
Blueprint Definition Scope: Blueprints are defined at the management group level (or subscription, but in this scenario it is better at management group level) and can be applied to resources at lower levels. To minimize the number of blueprint definitions, you should define your blueprints at the root management group level. This allows you to have a single source of truth for governance configurations. Because all child management groups will inherit the blueprints defined at the root management group level.
Blueprint Assignment Scope: You want governance applied consistently to all 50 subscriptions and the resources they contain. You should create blueprint assignments at the child management group level. When you assign a blueprint to a management group, all subscriptions within that group inherit the assigned configurations.
Why this is the best approach:
Centralized Governance: Defining the blueprint at the root allows you to have a central definition that you can manage in one place.
Consistent Application: Assigning the blueprint to the child management groups ensures that all subscriptions within each child management group have the same policy and resource settings, providing consistent governance.
Minimize Effort: You avoid creating multiple blueprint definitions or assigning to each subscription individually.
Why other options are incorrect:
Defining blueprints at the child management group level: This would require you to potentially have multiple blueprint definitions which contradicts the requirement of minimizing blueprint definitions.
Defining blueprints at subscription level: This would require you to potentially have multiple blueprint definitions and would require more effort to assign blueprints to all the subscriptions.
Assigning blueprints at the root management group level: While this technically would apply the policy to the child management group. Applying at the child management group allows for greater flexibility if you wanted to specify more child management group specific settings.
Assigning blueprints at subscription level: This would require you to assign blueprints to each individual subscription. Which contradicts the requirement to minimize blueprint assignments.
HOTSPOT -
You need to design an Azure policy that will implement the following functionality:
✑ For new resources, assign tags and values that match the tags and values of the resource group to which the resources are deployed.
✑ For existing resources, identify whether the tags and values match the tags and values of the resource group that contains the resources.
✑ For any non-compliant resources, trigger auto-generated remediation tasks to create missing tags and values.
The solution must use the principle of least privilege.
What should you include in the design? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer Area
Azure Policy effect to use:
Append
EnforceOPAConstraint
EnforceRegoPolicy
Modify
Azure Active Directory (Azure AD) object and role-based
access control (RBAC) role to use for the remediation tasks:
A managed identity with the Contributor role
A managed identity with the User Access Administrator role
A service principal with the Contributor role
A service principal with the User Access Administrator role
Azure Policy effect to use:
Modify
Azure Active Directory (Azure AD) object and role-based access control (RBAC) role to use for the remediation tasks:
A managed identity with the Contributor role
Explanation:
Modify Effect: The Modify effect in Azure Policy is the correct choice here because it allows you to add, update, or remove tags on resources. This effect is versatile enough to handle both new resource deployments (by assigning tags) and existing resources (by updating tags as needed). It also can handle remediation which is what is needed. The other options do not provide the appropriate functionality.
Append only adds tags, it cannot modify or remediate existing values and also does not support remediation.
EnforceOPAConstraint is related to Open Policy Agent, which is not the correct approach in this case.
EnforceRegoPolicy is related to Rego policies, which is not the correct approach in this case.
Managed Identity with Contributor Role:
Managed Identity: Using a managed identity is the best practice for security in Azure. It eliminates the need to manage credentials and provides a secure way for Azure Policy to access resources.
Contributor Role: The Contributor role is sufficient for Azure Policy to create and update tags on resources within the scope where the policy is applied. The Contributor role is the minimal privilege needed to do this task. The User Access Administrator role has way more permissions than is needed and therefore violates the principle of least privilege.
A service principal can be used in a similar capacity but a managed identity is better practice when creating the solution.
Why this is the best approach:
Correct Functionality: The Modify effect allows for the desired behavior to create and modify tags.
Principle of Least Privilege: The Contributor role provides the necessary permissions to update tags without granting unnecessary access.
Security Best Practice: Using a managed identity avoids credential management and is the recommended approach for accessing Azure resources securely.
In summary: The Modify effect along with a managed identity using the Contributor role is the most effective way to implement this policy with the principle of least privilege.
You need to recommend a solution to generate a monthly report of all the new Azure Resource Manager (ARM) resource deployments in your Azure subscription.
What should you include in the recommendation?
A. Azure Activity Log
B. Azure Advisor
C. Azure Analysis Services
D. Azure Monitor action groups
The correct answer is A. Azure Activity Log.
Here’s why:
Azure Activity Log’s Purpose: The Azure Activity Log is a service that provides a record of all operations that occur in your Azure subscription. This includes creation, modification, and deletion of resources. It’s essentially an audit log for your Azure environment. This includes the information on new ARM resource deployments.
Reporting on Deployments: Because the Activity Log records all resource deployment events, it is the ideal place to extract data for your monthly report of new deployments. You can filter and export the Activity Log data to analyze and build your report.
Let’s look at why the other options are not the best fit:
B. Azure Advisor: Azure Advisor analyzes your Azure resources and provides recommendations for performance, security, cost, and high availability improvements. While useful, it does not directly provide a report of new resource deployments.
C. Azure Analysis Services: Azure Analysis Services is a fully managed platform-as-a-service (PaaS) that provides enterprise-grade data modeling, analysis, and reporting capabilities. It’s typically used for complex data analysis, not for basic reporting on resource deployments.
D. Azure Monitor action groups: Azure Monitor action groups are used to trigger actions when certain alerts are fired from Azure Monitor. While it’s great for real-time alerts, it’s not intended for generating monthly reports on resource deployments.
Key Takeaway: Azure Activity Log is the core service in Azure that records all operations on your resources, making it the best choice for generating reports on new deployments.
Your company deploys several virtual machines on-premises and to Azure. ExpressRoute is deployed and configured for on-premises to Azure connectivity.
Several virtual machines exhibit network connectivity issues.
You need to analyze the network traffic to identify whether packets are being allowed or denied to the virtual machines.
Solution: Install and configure the Azure Monitoring agent and the Dependency Agent on all the virtual machines. Use VM insights in Azure Monitor to analyze the network traffic.
Does this meet the goal?
A. Yes
B. No
The answer is B. No.
Here’s why:
While the Azure Monitoring agent and the Dependency agent are indeed components of VM insights, they are not the correct tools for analyzing packet-level network traffic to determine if packets are being allowed or denied. They provide a view of network connections and dependencies, but not the detailed packet-level information that’s needed for the given scenario.
Here’s a more detailed explanation:
VM Insights: VM Insights in Azure Monitor provides information about the performance and dependencies of your virtual machines. It can show you which machines are communicating with each other and the network connections between them, but not the detail of whether packets are being allowed or dropped based on firewall rules, for example.
Dependency Agent: This agent discovers and maps the connections and dependencies between processes, but it does not capture packet-level information.
Network Connectivity Issues: To diagnose network connectivity issues, particularly when trying to determine if packets are being allowed or denied, you typically need more detailed tools that operate at the network layer.
What should be used instead?
To analyze if packets are being allowed or denied, you would typically use:
Network Watcher: Azure Network Watcher is a service that allows you to monitor and diagnose network conditions. Key features include:
Packet Capture: This feature lets you capture packets going to and from virtual machines, allowing for deep packet inspection.
IP Flow Verify: This feature allows you to test if packets are being allowed or denied based on the configured security rules.
Connection Troubleshooter: Helps troubleshoot connection issues by verifying the path of the traffic and the security rules in place.
Network Security Group (NSG) Flow Logs: This allows you to capture information about the IP traffic flowing through an NSG. You can use this data to analyze whether traffic is being allowed or denied.
In summary: While the proposed solution is useful for monitoring and visualizing network connections, it’s not suitable for analyzing the specific packet-level details needed for diagnosing packet allowance or denial issues. Network Watcher or NSG Flow Logs are more appropriate tools for the required task.
DRAG DROP -
You need to design an architecture to capture the creation of users and the assignment of roles. The captured data must be stored in Azure Cosmos DB.
Which services should you include in the design? To answer, drag the appropriate services to the correct targets. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
Azure Services
Azure Event Grid
Azure Event Hubs
Azure Functions
Azure Monitor Logs
Azure Notification Hubs
Answer Area
Azure Active Directory audit log
↓
Azure service (unspecified in the image)
↓
Azure service (unspecified in the image)
↓
Cosmos DB
Azure Active Directory audit log
↓
Azure Event Hubs
↓
Azure Functions
↓
Cosmos DB
Explanation:
Azure Active Directory audit log: This is the source of the data, containing the records of user creations and role assignments within your Azure AD tenant.
Azure Event Hubs: Azure Event Hubs is a highly scalable event ingestion service, ideal for capturing the audit log events from Azure AD. It can handle high volumes of data, which is crucial for logging events. It acts as a buffer or intermediary between the event source (Audit log) and the destination where the event data will be stored (Cosmos DB).
Azure Functions: Azure Functions provides a serverless compute platform, which makes it suitable for processing and transforming the raw event data from Event Hubs before storing it into Cosmos DB. We need an intermediary service to transform the event data before passing it to Cosmos DB. It also allows you to add logic to extract the specific fields you want from the raw audit log events for efficient querying.
Cosmos DB: Azure Cosmos DB is a NoSQL database that can store a large variety of data. In this case, it will store the transformed data of user creations and role assignments in a database.
Why other services are not appropriate:
Azure Event Grid: Event Grid is primarily for near real-time reactive event routing, not for high volume continuous data ingestion for storage, which we need here. It’s often used for more immediate actions like triggering alerts or other events.
Azure Monitor Logs: Azure Monitor Logs is used for storing and querying log and metrics data from Azure resources. It can be used for analyzing logs, but it’s not the appropriate intermediary to move the data to the Cosmos DB instance.
Azure Notification Hubs: Notification Hubs is for sending push notifications to various platforms and is not relevant for this scenario.
In summary: The correct flow is to capture the events from the Azure AD Audit Log with Azure Event Hubs, transform and prepare data using Azure Functions and then save the results in Azure Cosmos DB.
HOTSPOT -
What should you implement to meet the identity requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer Area
Service:
Azure AD Identity Governance
Azure AD Identity Protection
Azure AD Privilege Access Management (PIM)
Azure Automation
Feature:
Access packages
Access reviews
Approvals
Runbooks
Service:
Azure AD Privileged Identity Management (PIM) [1]
Feature:
Access reviews
Here’s why these are the correct choices:
For Service - Azure AD PIM:
Provides time-based and approval-based role activation
Minimizes risks from excessive permissions
Manages, controls, and monitors access within Azure AD
Essential for privileged account security
Implements just-in-time access
For Feature - Access reviews:
Part of identity governance strategy
Ensures right people have appropriate access
Helps maintain compliance
Enables regular review of access rights
Reduces security risks through periodic validation
Important notes for Azure 304-305 exam:
Understand the differences between:
Identity Governance (overall strategy)
Identity Protection (risk-based security)
PIM (privileged access management)
Know key features:
How access reviews work
PIM workflow and configuration
Identity governance implementation
Security best practices
Focus on:
Security principles
Compliance requirements
Access management lifecycle
Privileged account protection
Remember to understand how these services integrate with other Azure security features for comprehensive identity management. [2]
You need to recommend a solution to generate a monthly report of all the new Azure Resource Manager (ARM) resource deployments in your Azure subscription.
What should you include in the recommendation?
A. Application Insights
B. Azure Arc
C. Azure Log Analytics
D. Azure Monitor metrics
The correct answer is C. Azure Log Analytics.
Here’s why:
Azure Log Analytics and the Activity Log: Azure Log Analytics is the service within Azure Monitor that allows you to collect and analyze logs and other data, including the Azure Activity Log. The Activity Log contains the records of all operations performed on resources within your subscription, including the creation of new resources. Log Analytics provides powerful querying and reporting capabilities, which allows you to extract and format the information about new resource deployments into a monthly report.
Data Collection: Azure Log Analytics collects logs and events through the Azure Monitor agent which can be configured to pull data from the activity log.
Querying: Using Kusto Query Language (KQL), you can write specific queries against the Activity Log data to filter for resource creation events, sort them by time, and create a monthly summary.
Reporting: You can then use Azure Log Analytics features like dashboards and workbooks to build visualizations for your monthly report, or export the data to another reporting tool.
Let’s examine why the other options are less suitable:
A. Application Insights: Application Insights is primarily for monitoring the performance and behavior of applications. While it does capture logs related to application usage and errors, it’s not designed to track resource deployment events from the Azure Activity Log.
B. Azure Arc: Azure Arc is a service that extends Azure management capabilities to other platforms, including on-premises and other clouds. It does not have a direct relationship with reporting on Azure resource deployments.
D. Azure Monitor metrics: Azure Monitor metrics collect numeric data over time, like CPU usage, memory utilization, etc. While these are valuable for performance monitoring, they don’t provide the detailed event information, or creation events, needed for the deployment reporting requirement.
In conclusion: Azure Log Analytics is the correct service because it is designed for collecting, storing, querying and reporting on log data, including the Azure Activity Log, which contains the necessary information to report on new ARM resource deployments.
You have an Azure subscription.
You plan to deploy a monitoring solution that will include the following:
- Azure Monitor Network Insights
- Application Insights
- Microsoft Sentinel
- VM insights
The monitoring solution will be managed by a single team.
What is the minimum number of Azure Monitor workspaces required?
A. 1
B. 2
C. 3
D. 4
The correct answer is A. 1.
Here’s why:
Azure Monitor Workspace (Log Analytics Workspace): An Azure Monitor workspace, also known as a Log Analytics workspace, is a fundamental component of Azure Monitor. It’s where log data and other telemetry are stored for analysis and visualization. All the services you listed (Network Insights, Application Insights, Microsoft Sentinel, and VM insights) can send data to the same workspace.
Single Team Management: Since the monitoring solution will be managed by a single team, there’s no need to separate the data into multiple workspaces for access or organizational purposes.
Cost-Effectiveness: Using a single workspace is generally more cost-effective, as you avoid the overhead of managing multiple workspaces and potential data transfer charges between them.
Why Not More Workspaces?
Multiple workspaces are often used when:
You need to separate data for different environments (e.g., development, testing, production).
You have different teams that require segregated access to specific data.
You have different regulatory or compliance requirements that require isolating data from different sources.
None of those conditions apply here: The problem specifies a single team managing the monitoring solution, which means that data separation and access control do not require multiple workspaces. Therefore, one workspace is the most efficient option.
In conclusion: For a single team managing a monitoring solution that includes the specified services, a single Azure Monitor workspace is sufficient and the most cost-effective choice.
You need to recommend a solution to generate a monthly report of all the new Azure Resource Manager (ARM) resource deployments in your Azure subscription.
What should you include in the recommendation?
A. Application Insights
B. Azure Analysis Services
C. Azure Advisor
D. Azure Activity Log
The correct answer is D. Azure Activity Log.
Here’s why:
Azure Activity Log’s Function: The Azure Activity Log is a service that provides a detailed record of all operations that occur in your Azure subscription. This includes the creation, modification, and deletion of resources. It is essentially an audit log for your Azure environment. Specifically, it records when new ARM resources are deployed.
Generating Reports: The Activity Log’s data can be filtered, exported, and analyzed to create a monthly report of new resource deployments. You can export the log to various destinations, such as Azure Storage, Azure Event Hubs, or Azure Log Analytics, for further analysis and reporting.
Purpose-Built: The Activity Log is designed for tracking operational events, such as the creation of resources. It’s the most appropriate tool for generating this kind of report.
Let’s review why the other options are not the best fit:
A. Application Insights: Application Insights is a service designed to monitor the performance and usage of applications. While it can log some operational events from within the application, it doesn’t track resource deployment events at the subscription level from ARM.
B. Azure Analysis Services: Azure Analysis Services is a data analytics service used for creating complex data models for reporting. It does not contain the data on new resource deployments at the ARM level.
C. Azure Advisor: Azure Advisor is a recommendation engine that analyses your Azure resources and provides recommendations for cost, performance, and security improvements. It’s not designed for reporting on new resource deployments.
In conclusion: The Azure Activity Log is the ideal service for providing the necessary data to generate a monthly report of new ARM resource deployments, as it records all resource operations within your Azure subscription.
HOTSPOT
Case Study
Overview
Fabrikam, Inc. is an engineering company that has offices throughout Europe. The company has a main office in London and three branch offices in Amsterdam, Berlin, and Rome.
Existing Environment: Active Directory Environment
The network contains two Active Directory forests named corp.fabrikam.com and rd.fabrikam.com. There are no trust relationships between the forests.
Corp.fabrikam.com is a production forest that contains identities used for internal user and computer authentication.
Rd.fabrikam.com is used by the research and development (R&D) department only. The R&D department is restricted to using on-premises resources only.
Existing Environment: Network Infrastructure
Each office contains at least one domain controller from the corp.fabrikam.com domain. The main office contains all the domain controllers for the rd.fabrikam.com forest.
All the offices have a high-speed connection to the internet.
An existing application named WebApp1 is hosted in the data center of the London office. WebApp1 is used by customers to place and track orders. WebApp1 has a web tier that uses Microsoft Internet Information Services (IIS) and a database tier that runs Microsoft SQL Server 2016. The web tier and the database tier are deployed to virtual machines that run on Hyper-V.
The IT department currently uses a separate Hyper-V environment to test updates to WebApp1.
Fabrikam purchases all Microsoft licenses through a Microsoft Enterprise Agreement that includes Software Assurance.
Existing Environment: Problem Statements
The use of WebApp1 is unpredictable. At peak times, users often report delays. At other times, many resources for WebApp1 are underutilized.
Fabrikam plans to move most of its production workloads to Azure during the next few years, including virtual machines that rely on Active Directory for authentication.
As one of its first projects, the company plans to establish a hybrid identity model, facilitating an upcoming Microsoft 365 deployment.
All R&D operations will remain on-premises.
Fabrikam plans to migrate the production and test instances of WebApp1 to Azure.
Requirements: Technical Requirements
Fabrikam identifies the following technical requirements:
- Website content must be easily updated from a single point.
- User input must be minimized when provisioning new web app instances.
- Whenever possible, existing on-premises licenses must be used to reduce cost.
- Users must always authenticate by using their corp.fabrikam.com UPN identity.
- Any new deployments to Azure must be redundant in case an Azure region fails.
- Whenever possible, solutions must be deployed to Azure by using the Standard pricing tier of Azure App Service.
- An email distribution group named IT Support must be notified of any issues relating to the directory synchronization services.
- In the event that a link fails between Azure and the on-premises network, ensure that the virtual machines hosted in Azure can authenticate to Active Directory.
- Directory synchronization between Azure Active Directory (Azure AD) and corp.fabrikam.com must not be affected by a link failure between Azure and the on-premises network.
Requirements: Database Requirements
Fabrikam identifies the following database requirements:
- Database metrics for the production instance of WebApp1 must be available for analysis so that database administrators can optimize the performance settings.
- To avoid disrupting customer access, database downtime must be minimized when databases are migrated.
- Database backups must be retained for a minimum of seven years to meet compliance requirements.
Requirements: Security Requirements
Fabrikam identifies the following security requirements:
- Company information including policies, templates, and data must be inaccessible to anyone outside the company.
- Users on the on-premises network must be able to authenticate to corp.fabrikam.com if an internet link fails.
- Administrators must be able authenticate to the Azure portal by using their corp.fabrikam.com credentials.
- All administrative access to the Azure portal must be secured by using multi-factor authentication (MFA).
- The testing of WebApp1 updates must not be visible to anyone outside the company.
To meet the authentication requirements of Fabrikam, what should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Minimum number of Azure AD tenants:
0
1
2
3
4
Minimum number of custom domains to add:
0
1
2
3
4
Minimum number of conditional access policies to create:
0
1
2
3
4
Final Answer:
Minimum number of Azure AD tenants: 1
Why Correct? A single Azure AD tenant synced with corp.fabrikam.com supports the hybrid identity model for Microsoft 365, Azure VMs, and portal access.
Minimum number of custom domains to add: 1
Why Correct? Adding corp.fabrikam.com as a custom domain ensures users and admins authenticate with their required UPNs.
Minimum number of conditional access policies to create: 1
Why Correct? One CA policy enforcing MFA for admins on Azure portal access meets the security requirement without overcomplicating the solution.
You have an Azure subscription that contains an Azure SQL database named DB1. Several queries that query the data in DB1 take a long time to execute.
You need to recommend a solution to identify the queries that take the longest to execute.
What should you include in the recommendation?
A. SQL Database Advisor
B. Azure Monitor
C. Performance Recommendations
D. Query Performance Insight
The correct answer is D. Query Performance Insight.
Here’s why:
Purpose-Built for Query Analysis: Query Performance Insight is a feature of Azure SQL Database specifically designed to identify and analyze the performance of database queries. It provides detailed information about query execution, including duration, resource consumption (CPU, I/O, etc.), and execution counts. This makes it ideal for pinpointing the queries that are taking the longest to execute.
Direct Identification of Slow Queries: It directly surfaces the slowest running queries, making it easy to identify the problem areas in your database workload.
Historical Data: It also shows historical query performance, which is useful for trend analysis and for identifying regressions after changes.
Let’s look at why the other options are not the best fit:
A. SQL Database Advisor: The SQL Database Advisor offers recommendations for improving database performance, such as indexing or schema adjustments. While these recommendations might indirectly improve query performance, it doesn’t directly identify which queries are running slowly. It’s more proactive than reactive in addressing performance issues. It will not directly show which queries are slow.
B. Azure Monitor: Azure Monitor is a general monitoring service for Azure resources. While it can collect metrics and logs for your Azure SQL Database, it does not provide the specific query performance insights that Query Performance Insight provides. You would have to write your own custom logs to track these slow queries if using Azure Monitor, and it’s not as easy as using Query Performance Insight.
C. Performance Recommendations: “Performance Recommendations” is a general term rather than a specific tool or service. Azure SQL Database has the Database Advisor, which gives recommendations, but it does not directly identify the slowest queries.
In summary: Query Performance Insight is the correct choice because it is specifically designed for analyzing the performance of queries and will directly show the queries that take the longest to execute.
You have an Azure App Service Web App that includes Azure Blob storage and an Azure SQL Database instance. The application is instrumented by using the Application Insights SDK.
1.) Correlate Azure resource usage and performance data with app configuration and performance data
2.) Visualize the relationships between application components
3.) Track requests and exceptions to a specific line of code within the application
4.) Analyze how many users return to the application and how often they select a particular dropdown value
You need to design a monitoring solution for the web app. Which Azure monitoring services should you use for each?
a. Azure Application Insights
b. Azure Service Map
c. Azure Monitor Logs
d. Azure Activity Log
- Correlate Azure resource usage and performance data with app configuration and performance data:
Answer: a. Azure Application Insights
Explanation: Application Insights is specifically designed to monitor applications and provides deep insights into their performance. It automatically collects telemetry data like request rates, response times, exception rates, and dependency calls. When combined with the Azure Monitor metrics that Application Insights collects on the host and other Azure resources, you can correlate application performance with underlying infrastructure performance to identify bottlenecks and performance issues. It can also show performance information in the application itself via traces.
- Visualize the relationships between application components:
Answer: b. Azure Service Map
Explanation: Azure Service Map automatically discovers application components and maps the dependencies between them. It provides a visual representation of the application architecture, allowing you to quickly identify how different components are connected and the network traffic flows between them. This visualization is crucial for understanding complex application architectures.
- Track requests and exceptions to a specific line of code within the application:
Answer: a. Azure Application Insights
Explanation: Using the Application Insights SDK, you can implement custom telemetry, including logging specific trace statements, and exceptions within the code. This capability allows developers to track requests as they pass through the various parts of the application and to pinpoint issues with specific lines of code. With the Application Insights code level diagnostics, you can track execution flow to see which line of code is causing errors.
- Analyze how many users return to the application and how often they select a particular dropdown value:
Answer: a. Azure Application Insights
Explanation: Application Insights provides out-of-the-box user session tracking and event tracking. You can analyze user activity, including how many users return to your application and frequency. You can create custom event telemetry to track particular actions, such as selecting a dropdown value and using this data to generate usage patterns. You can track events within the code and also with client-side JavaScript.
In summary:
a. Azure Application Insights: Used for application performance monitoring, correlating infrastructure and application metrics, custom logging, code level diagnostics, and user behavior tracking.
b. Azure Service Map: Used for visualizing the relationships and dependencies between application components.
c. Azure Monitor Logs: This is not the best answer here as it would require a separate custom log that would need to be configured and managed separately. These logs are not automatically available for use.
d. Azure Activity Log: The Activity Log is more for administrative actions and not for application monitoring.
Therefore, you should use:
1 -> a
2 -> b
3 -> a
4 -> a
You have an on-premises Hyper-V cluster. The cluster contains Hyper-V hosts that run Windows Server 2016 Datacenter. The hosts are licensed under a Microsoft Enterprise Agreement that has Software Assurance.
The Hyper-V cluster contains 30 virtual machines that run Windows Server 2012 R2. Each virtual machine runs a different workload. The workloads have predictable consumption patterns.
You plan to replace the virtual machines with Azure virtual machines that run Windows Server 2016. The virtual machines will be sized according to the consumption pattern of each workload.
You need to recommend a solution to minimize the compute costs of the Azure virtual machines. Which two recommendations should you include in the solution?
A. Configure a spending limit in the Azure account center.
B. Create a virtual machine scale set that uses autoscaling.
C. Activate Azure Hybrid Benefit for the Azure virtual machines.
D. Purchase Azure Reserved Virtual Machine Instances for the Azure virtual machines.
E. Create a lab in Azure DevTest Labs and place the Azure virtual machines in the lab.
Discussion
The two correct recommendations are C. Activate Azure Hybrid Benefit for the Azure virtual machines and D. Purchase Azure Reserved Virtual Machine Instances for the Azure virtual machines.
Here’s why:
C. Activate Azure Hybrid Benefit:
How it Works: Azure Hybrid Benefit allows you to use your existing on-premises Windows Server licenses with Software Assurance to reduce the cost of running Windows Server virtual machines in Azure. Because the Hyper-V hosts are licensed under Software Assurance, you can apply the benefit to the Azure virtual machines and significantly reduce licensing costs.
Cost Savings: This directly lowers the per-hour cost of the virtual machines.
D. Purchase Azure Reserved Virtual Machine Instances:
How it Works: Reserved Instances (RIs) allow you to commit to using specific virtual machine sizes for one or three years, in exchange for a significant discount compared to pay-as-you-go pricing.
Cost Savings: Given the predictable consumption patterns of the workloads, using Reserved Instances for the virtual machines provides a huge cost savings. The problem states the virtual machines will be sized according to the consumption pattern.
Why other options are not the best fit for minimizing compute costs:
A. Configure a spending limit in the Azure account center: While spending limits are crucial for cost management, they don’t directly reduce compute costs. They can prevent surprise bills by limiting consumption but do not reduce the actual cost of resources consumed.
B. Create a virtual machine scale set that uses autoscaling: While autoscaling can reduce overall costs by scaling down VMs when not needed, this can lead to more complex management. Given that the workload is predictable, it is better to purchase reserved instances of the VMs, which will provide more cost savings and is less complex to manage. This approach can provide cost benefits but not as much as reserved instances. Autoscaling is better for unpredictable workloads.
E. Create a lab in Azure DevTest Labs and place the Azure virtual machines in the lab: Azure DevTest Labs can help with cost management in development and test environments but doesn’t directly reduce the cost of production virtual machines. The problem states that each VM runs a different workload which suggests that they are for production. DevTest Labs also does not provide cost benefits like Reserved Instances and Hybrid Benefit.
In summary: To minimize compute costs of the Azure VMs when the workload is predictable, you should use Azure Hybrid Benefit to reduce licensing costs, and Azure Reserved Instances for a substantial discount.
You have an Azure subscription that contains the SQL servers:
SQLsr1 –>RG1 –>East US
SQLsvr2 –>RG2 –> West US
The subscription contains the storage accounts:
Storage1(storagev2) –> RG1 –>East US.
Storage2(BlobStorage)–>RG2 –> West US
You create the Azure SQL databases:
SQLdb1–>RG1–>SQLsvr1–>STD pricing tier
SQLdb2–>RG1–>SQLsvr1–>STD pricing tier
SQLdb3–>RG2–>SQLsvr2–>Premium pricing tier
1.) When you enable auditing for SQLdb1, can you store the audit info to sotrage1?
2.) When you enable auditing for SQLdb2, can you store the audit info to storage2?
3.) When you enable auditing for SQLdb3, can you store the audit info to storage2?
Key Concept: For Azure SQL Database auditing, you need a storage account in the same region as the SQL Server.
Here are the answers to your questions:
- When you enable auditing for SQLdb1, can you store the audit info to Storage1?
Answer: Yes
Explanation: SQLdb1 is located in the same resource group RG1 as SQLsvr1 and in the East US region. Storage1 is also in RG1 and the East US region. Because the storage account is in the same region as the SQL Server, it can be used to store audit logs.
- When you enable auditing for SQLdb2, can you store the audit info to Storage2?
Answer: No
Explanation: SQLdb2 is located in resource group RG1 and in the East US region. However, Storage2 is in resource group RG2 and the West US region. Since the storage account must be located in the same region as the SQL Server for auditing, Storage2 cannot be used to store audit logs for SQLdb2. You would need to use Storage1 or another storage account in the East US region.
- When you enable auditing for SQLdb3, can you store the audit info to Storage2?
Answer: Yes
Explanation: SQLdb3 is located in resource group RG2 and in the West US region, as well as SQLsvr2. Storage2 is in RG2 and the West US region. Because they are in the same region, Storage2 is a valid storage account to store audit logs for SQLdb3.
In summary:
SQLdb1 (East US) can store audit logs in Storage1 (East US).
SQLdb2 (East US) CANNOT store audit logs in Storage2 (West US).
SQLdb3 (West US) can store audit logs in Storage2 (West US).
Important Note: When configuring auditing for Azure SQL Database, the storage account must be in the same Azure region as the SQL Server. It does not matter if the storage account is in the same resource group. It is also important to note that the storage account type can be either blob storage or general purpose V2 storage for SQL auditing.
A company has a hybrid ASP.NET Web API application that is based on a software as a service (SaaS) offering.
Users report general issues with the data. You advise the company to implement live monitoring and use ad hoc queries on stored JSON data. You also advise the company to set up smart alerting to detect anomalies in the data.
You need to recommend a solution to set up smart alerting.
What should you recommend?
A. Azure Site Recovery and Azure Monitor Logs
B. Azure Data Lake Analytics and Azure Monitor Logs
C. Azure Application Insights and Azure Monitor Logs
D. Azure Security Center and Azure Data Lake Store
The correct answer is C. Azure Application Insights and Azure Monitor Logs.
Here’s why:
Azure Application Insights for Smart Alerting: Application Insights is a powerful Application Performance Monitoring (APM) service specifically designed to monitor web applications and their underlying services. It includes:
Smart Detection: Application Insights has built-in smart detection capabilities that use machine learning to automatically detect anomalies in your application’s performance, including response times, request rates, and exception rates. This is ideal for detecting unusual data issues.
Metrics and Telemetry: It collects a wealth of telemetry data that can be used for analysis and alerting. The data collected can include: application requests, traces, dependency calls, exceptions, and metrics. This is required to detect anomalies.
Custom Metrics: It allows you to create custom metrics and alerts specific to your application’s data patterns if needed.
Azure Monitor Logs (Log Analytics) for Data Analysis: While Application Insights handles smart alerting well, it’s useful to use Azure Monitor Logs (Log Analytics) in conjunction with it.
JSON Data Storage: Application Insights stores collected data, including logs and telemetry, in a Log Analytics workspace. This allows you to query and analyze your JSON data using Kusto Query Language (KQL).
Alerts based on Log queries: While Application Insights can trigger alerts directly, you can also create complex alerts based on log queries in Log Analytics. You can write queries that detect specific data patterns or anomalies. You can then create alerts based on these queries.
Why the other options are not the best fit:
A. Azure Site Recovery and Azure Monitor Logs: Azure Site Recovery is primarily for business continuity and disaster recovery. It doesn’t provide the application performance monitoring and anomaly detection capabilities required here. It also does not monitor the data inside the application.
B. Azure Data Lake Analytics and Azure Monitor Logs: Azure Data Lake Analytics is designed for batch processing large datasets and performing advanced analytics. While it’s useful for analyzing data, it’s not the best fit for live monitoring of a web application or for setting up smart alerts for anomaly detection.
D. Azure Security Center and Azure Data Lake Store: Azure Security Center is focused on security posture management and threat protection. It does not provide the application monitoring and smart alerting capability required for application performance and data anomaly detection. Azure Data Lake Store is a storage service and does not have the ability to monitor anomalies.
In conclusion: Application Insights provides the built-in smart detection and the rich telemetry needed for monitoring your application. Combining it with Azure Monitor Logs allows you to store and query JSON data and create complex alerts, thus meeting all the requirements.
You have an Azure subscription that is linked to an Azure Active Directory (Azure AD) tenant. The subscription contains 10 resource groups, one for each department at your company.
Each department has a specific spending limit for its Azure resources.
You need to ensure that when a department reaches its spending limit, the compute resources of the department shut down automatically.
Which two features should you include in the solution?
A. Azure Logic Apps
B. Azure Monitor alerts
C. the spending limit of an Azure account
D. Cost Management budgets
E. Azure Log Analytics alerts
The two correct features to include in the solution are B. Azure Monitor alerts and D. Cost Management budgets. Here’s why:
D. Cost Management Budgets:
Purpose: Cost Management budgets allow you to set spending limits for a specific scope, such as a subscription, resource group, or management group. They also allow you to be notified when cost spending has reached certain thresholds.
Role in Solution: You’ll use budgets to define the spending limits for each department’s resource group. Once that limit is met, an action or alert should be triggered.
B. Azure Monitor Alerts:
Purpose: Azure Monitor alerts can trigger actions based on certain events or conditions that are evaluated.
Role in Solution: In this solution, you can configure cost management budgets to notify Azure Monitor of when a spending limit is met. Then you can set up Azure monitor to create an alert based on that threshold being met. This alert can then trigger an action.
How These Two Work Together
Cost management budgets track the budget usage and generate notifications to Azure Monitor. Azure Monitor can then generate an alert based on the notification that it received from the budget service. Then, the Azure Monitor alert can trigger an action such as a Logic App, Automation Runbook, Function App, or webhook. You can choose an appropriate action that will shut down your compute resources.
Why Other Options Are Not Correct (or not the complete solution):
A. Azure Logic Apps: Logic Apps are great for automating workflows, and you could use one to shut down the resources. However, they do not provide the budgeting functionality required to track the spending limits of a department. A Logic App is more of an action for the alert to call.
C. the spending limit of an Azure account: The spending limit for an entire Azure account is not granular enough. It doesn’t allow you to apply limits for each department separately based on their resource groups. A single Azure spending limit cannot be set for multiple departments.
E. Azure Log Analytics alerts: Azure Log Analytics alerts are based on log queries. While you can use logs to track costs, this service is not the best for this task. It can’t directly trigger an action based on a cost budget. Azure Log Analytics is not a direct requirement for this scenario.
In Summary: Cost Management budgets will provide the ability to track spending and trigger an alert when that limit is reached, while Azure Monitor alerts provides the ability to define the action to take (shutting down the compute resources).
You have an Azure subscription that contains the resources
storage1, storage account, storage in East US
storage2, storage account, storageV2 in East US
Workspace1, log analytics workspace in East US
Workspace2, log analytics workspace in East US
Hub1, Event hub in East US
You create an Azure SQL database named DB1 that is hosted in the East US region.
To DB1, you add a diagnostic setting named Settings1. Settings1 archives SQLInsights to storage1 and sends SQLInsights to Workspace1.
1.) Can you add a new diagnostic setting to archive SQLInsights logs to storage2?
2.) Can you add a new diagnostic setting that sends SQLInsights logs to Workspace2?
3.) Can you add a new diagnostic setting that sends SQLInsighs logs to Hub1?
Key Concepts:
Diagnostic Settings: Diagnostic settings for Azure resources allow you to route logs and metrics to different destinations for analysis and storage.
Storage Accounts: Storage accounts must be in the same region as the SQL Server resource. The storage account can be a blob storage or a storageV2 type.
Log Analytics Workspaces: Log Analytics workspaces can be in the same region or a different region as the SQL database, but is not recommended as it introduces higher latency and cost.
Event Hubs: Event Hubs can also be in the same region as the SQL database, or a different region.
Here are the answers to your questions:
- Can you add a new diagnostic setting to archive SQLInsights logs to Storage2?
Answer: Yes
Explanation: Storage2 is a storage account of type storageV2 located in the same region as the SQL Database DB1 (East US). A storage account in the same region is a valid destination for the diagnostic logs. Also, the type of the storage account can be either blob storage or a general purpose V2 type.
- Can you add a new diagnostic setting that sends SQLInsights logs to Workspace2?
Answer: Yes
Explanation: Workspace2 is a log analytics workspace located in the same region as the SQL Database DB1 (East US). A log analytics workspace in the same region is a valid destination for the diagnostic logs.
- Can you add a new diagnostic setting that sends SQLInsights logs to Hub1?
Answer: Yes
Explanation: Hub1 is an Event Hub located in the same region as the SQL Database DB1 (East US). An Event Hub in the same region is a valid destination for the diagnostic logs.
In summary:
You can add a new diagnostic setting to archive SQLInsights logs to Storage2 as it is in the same region as the SQL server.
You can add a new diagnostic setting that sends SQLInsights logs to Workspace2 as it is in the same region as the SQL server.
You can add a new diagnostic setting that sends SQLInsights logs to Hub1 as it is in the same region as the SQL server.
Important Note:
While all destinations for log settings are valid as the resources are located in the same region, it is important to use same region resources when setting up your log settings for optimal performance. Using cross region resources can result in higher latency and data transfer costs.
You deploy several Azure SQL Database instances. You plan to configure the Diagnostics settings on the databases with the following settings:
Diagnostic setting named Diagnostic1
Archive to a storage account is enabled.
SQLInsights log is enabled and has a retention of 90 days. AutomaticTurning log is enabled and as a retention of 30 says.
All other logs are disabled.
Send log analytics is enabled.
Archive to storage account is enabled.
Stream to even hub is disabled.
1.) What is the amount of time an SQLInsights data will be stored in blob storage?
30 days
90 days
730 days
indefinite
2.) What is the maximum amount of time SQLInsights data can be stored in Azure Log Analytics?
30 days
90 days
730 days
indefinite
Key Concepts:
Diagnostic Settings: These settings define where Azure resources send their logs and metrics, and how long that data is retained.
Storage Account Retention: When you configure diagnostic settings to archive logs to a storage account, you specify a retention period in days. After that time, the logs are deleted from the storage account.
Log Analytics Workspace Retention: When you configure diagnostic settings to send logs to a Log Analytics workspace, the retention is managed in the Log Analytics workspace itself. It’s independent of the diagnostic settings. Log Analytics can store the logs indefinitely or for a specific period based on your settings for either the table or the workspace.
Answers:
- What is the amount of time an SQLInsights data will be stored in blob storage?
Answer: 90 days
Explanation: In the diagnostic setting named Diagnostic1, you explicitly enabled the SQLInsights log and set its retention to 90 days when archiving to a storage account. This setting directly controls how long the data persists in storage.
- What is the maximum amount of time SQLInsights data can be stored in Azure Log Analytics?
Answer: 730 days
Explanation:
How long is the data kept?
Raw data points (that is, items that you can query in Analytics and inspect in Search) are kept for up to 730 days.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/data-retention-privacy
Your company has the divisions:
East –> sub1, sub2 –> East.contoso.com
West–> sub3, sub4 –> West.contoso.com
You plan to deploy a custom application to each subscription. The application will contain the following:
✑ A resource group
✑ An Azure web app
✑ Custom role assignments
✑ An Azure Cosmos DB account
You need to use Azure Blueprints to deploy the application to each subscription.
What is the minimum number of objects required to deploy the application?
Management Groups:
Blueprint definitions:
Blueprint assignments:
Understanding the Requirements
Two Divisions: The company has two divisions, East and West, with two subscriptions each (total of 4 subscriptions).
Consistent Application: Each subscription needs the same application components: a resource group, an Azure web app, custom role assignments, and a Cosmos DB account.
Azure Blueprints: Blueprints allow you to create repeatable deployment packages for Azure resources.
Minimize Objects: We need to determine the minimum number of management groups, blueprint definitions, and blueprint assignments to achieve the desired outcome.
Minimum Objects
Management Groups:
Answer: 1
Explanation: Since all subscriptions are in the same organization and there are no requirements to have separate policies for the different divisions, we do not require management groups. You do not need to deploy management groups to deploy azure blueprints.
Blueprint Definitions:
Answer: 1
Explanation: You can define one blueprint that includes all the common components needed for the application (resource group, web app, custom role assignments, and Cosmos DB account). Because all subscriptions will contain the same application, a single definition is sufficient. The blueprint definitions are for managing the blueprint itself, and do not need to match the quantity of subscriptions.
Blueprint Assignments:
Answer: 4
Explanation: While one blueprint can define the application, we need to assign that blueprint to each subscription where you want to deploy the application. Because we have 4 subscriptions we will need a blueprint assignment for each subscription.
Why Other Configurations Are Not Minimal:
Multiple Management Groups: While you could use separate management groups for East and West divisions, it’s not required for the scenario. The blueprints can be applied directly to the subscriptions, and since there is nothing specified in the requirements about needing management groups, they are not needed for this scenario.
Multiple Blueprint Definitions: Creating multiple blueprint definitions for the same application components in each subscription would be redundant, increasing maintenance.
More blueprint assignments: Because there are 4 subscriptions, you need to assign blueprints for each subscription and you cannot assign a blueprint to more than one subscription at once.
In summary: To deploy the application with Azure Blueprints using the minimum number of objects, you need:
Management Groups: 1 (Root Management Group - if you have one already). Note you do not need to deploy management groups to deploy blueprints.
Blueprint Definitions: 1
Blueprint Assignments: 4 (one for each subscription)
You have an Azure Active Directory (Azure AD) tenant.
You plan to deploy Azure Cosmos DB databases that will use the SQL API.
You need to recommend a solution to provide specific Azure AD user accounts with read access to the Cosmos DB databases.
What should you include in the recommendation?
A. shared access signatures (SAS) and conditional access policies
B. certificates and Azure Key Vault
C. a resource token and an Access control (IAM) role assignment
D. master keys and Azure Information Protection policies
The correct answer is C. a resource token and an Access control (IAM) role assignment.
Here’s why:
Resource Tokens (or Resource IDs) for Cosmos DB: When a Cosmos DB account is created, a resource id is automatically generated for that account. This resource id is also available at different scopes including the database and container levels. This resource id is used for configuring access control (IAM).
Azure Role-Based Access Control (RBAC) and IAM: Azure role-based access control (RBAC), allows you to grant specific permissions to Azure AD users, groups, or service principals over various scopes. For Cosmos DB, you use IAM (Identity and Access Management) to assign roles to Azure AD user accounts.
Built-in and Custom Roles: You can use built-in roles, such as “Cosmos DB Reader,” or create custom roles to provide fine-grained control over access. For example, you can create a role that only grants read access to specific databases or containers.
Granting Access: By assigning an appropriate role with read permissions to a user and providing that user the id to the resource, you can grant the user access to a specific Cosmos DB database.
Let’s review why the other options are not the right fit:
A. shared access signatures (SAS) and conditional access policies: Shared Access Signatures (SAS) are used for providing access to storage accounts, not Cosmos DB databases. While conditional access policies are useful for enforcing authentication policies based on conditions, they are not a direct way of granting access to specific Cosmos DB database resources.
B. certificates and Azure Key Vault: Certificates and Azure Key Vault are primarily used for securing sensitive information such as API keys, not for providing read access to Cosmos DB resources for users. While you can use certificates to provide client-side authentication for applications, certificates are not used to grant user access.
D. master keys and Azure Information Protection policies: Master keys provide full access to Cosmos DB account resources. Sharing these would violate the principle of least privilege, and they should be managed securely. Azure Information Protection policies are primarily used for securing document access.
In Summary: Using IAM role assignments, and providing the resource id to the user to allow access, is the best way to provide specific Azure AD users with read access to Cosmos DB databases while adhering to security best practices.
You need to design a resource governance solution for an Azure subscription. The solution must meet the following requirements:
✑ Ensure that all ExpressRoute resources are created in a resource group named RG1.
✑ Delegate the creation of the ExpressRoute resources to an Azure Active Directory (Azure AD) group named Networking.
✑ Use the principle of least privilege.
1.) Ensure all ExpressRoute resources are created in RG1
2.) Delegate the creation of the ExpressRoute resources to Networking
a. A custom RBAC role assignment at the level of RG1
b. A custom RBAC role assignment at the subscription level
c. An Azure Blueprints assignment that sets locking mode for the level of RG1
d. An Azure Policy assignment at the subscription level that has an exclusion
e. Multiple Azure Policy assignments at the resource group level except for RG1
- Ensure all ExpressRoute resources are created in RG1:
Correct Answer: d. An Azure Policy assignment at the subscription level that has an exclusion
Explanation: An Azure Policy can be used to enforce that all ExpressRoute resources are created in the RG1 resource group. The policy is assigned at the subscription level so it is applied to all resources in the subscription. You would create the policy to require that all ExpressRoute resources should only be created in the RG1 resource group, and you would specify any other resource group to be an exception (excluded from the policy). This policy setting would ensure that all new ExpressRoute resources will always be created in the correct resource group. While other options could be made to work, this is the easiest and most appropriate way to achieve the requirement.
Why other options are not best here
An Azure Blueprint can also enforce these settings, but is overkill for this specific setting.
While you could create multiple resource group level policies for all groups that are not RG1, it would require extra effort to keep all groups updated.
A resource group level policy would be incorrect since you would need multiple policies, this would not be the best solution.
- Delegate the creation of the ExpressRoute resources to Networking:
Correct Answer: a. A custom RBAC role assignment at the level of RG1
Explanation: To delegate permission to create ExpressRoute resources, you should use Role-Based Access Control (RBAC). Create a custom role that has only the permissions to create and manage ExpressRoute resources. Then, assign this custom role to the Networking Azure AD group at the level of the resource group RG1. This adheres to the principle of least privilege because it gives the group only the necessary permissions, and only within the context of the resource group needed.
Why Other Options Are Incorrect
Creating a role assignment at the subscription level would give the group more permissions than are necessary and would therefore violate the principle of least privilege.
While blueprints can also manage roles, this would be overkill for what is required. Blueprints are not used to delegate permissions to groups.
Azure Policy doesn’t manage permissions directly.
In Summary:
To ensure resources are created in the correct resource group, use Azure Policy.
To delegate permissions, use RBAC roles with a custom role for ExpressRoute management on the correct resource group.
This combination of Azure Policy and RBAC roles provides an efficient and secure governance solution.
You have an Azure Active Directory (Azure AD) tenant and Windows 10 devices.
MFA Policy Configuration:
Enable Policy set to off
Grant
Select the controls to be enforced
Grant access selected.
Require multi-factor authentication: yes
Require device to be marked as compliant: no
Require hybrid azure ad joined devices: yes
Require approved client apps: no
Require app protection policy: no
For multiple controls: require one of the selected controls.
What is the result of the policy?
A. All users will always be prompted for multi-factor authentication (MFA).
B. Users will be prompted for multi-factor authentication (MFA) only when they sign in from devices that are NOT joined to Azure AD.
C. All users will be able to sign in without using multi-factor authentication (MFA).
D. Users will be prompted for multi-factor authentication (MFA) only when they sign in from devices that are joined to Azure AD.
The correct answer is D. Users will be prompted for multi-factor authentication (MFA) only when they sign in from devices that are joined to Azure AD.
Here’s why:
Understanding the Conditional Access Policy:
Enable Policy set to off: Since the policy is turned off, all other settings are meaningless. You will not be prompted for MFA based on this policy as it is disabled.
Grant Access Selected: This means the policy is setup to grant access. If all conditions are met, then access will be granted based on the next settings.
Require multi-factor authentication: yes: This means that MFA is required to gain access based on this policy, but it can only be applied if the other conditions are also met. This will only be enforced if they sign in from a device that is hybrid azure ad joined.
Require device to be marked as compliant: no: This means the device compliance status is not required for this policy to be enforced.
Require hybrid azure ad joined devices: yes: This means that the device must be Azure AD joined for this policy to be applied.
Require approved client apps: no: This is not required for this policy to be enforced.
Require app protection policy: no: This is not required for this policy to be enforced.
For multiple controls: require one of the selected controls: Because there is only one control that is set to yes, this setting is not important as the policy will always apply that control.
Result: The policy is disabled so will have no impact. Because it is disabled, the result will be that all users will be able to sign in without using MFA. If the policy were enabled, only users on Hybrid Azure AD joined devices would be required to use multi-factor authentication (MFA) because it is specified that “Require hybrid azure ad joined devices: yes”. All other users and devices would not be impacted by this conditional access policy if it were enabled.
Let’s analyze the incorrect options:
A. All users will always be prompted for multi-factor authentication (MFA). This is incorrect as the policy is disabled and will have no impact, meaning that all users will not be prompted for MFA based on this policy.
B. Users will be prompted for multi-factor authentication (MFA) only when they sign in from devices that are NOT joined to Azure AD. This is incorrect, as the policy is disabled. If the policy were enabled, then users on non Azure AD joined devices would not be impacted by the policy.
C. All users will be able to sign in without using multi-factor authentication (MFA). This is the correct answer because the policy is disabled and therefore, all users will be able to sign in without using MFA.
In summary: Because the policy is disabled, no users will be impacted by the policy and all users will be able to sign in without using MFA. If the policy were enabled, it would require MFA for users signing in from hybrid Azure AD joined devices.