20 Azure Sentinel Interview Questions and Answers

Azure Sentinel is a cloud-native security information event management (SIEM) and security orchestration automated response (SOAR) platform. Azure Sentinel collects data from multiple Azure services, as well as on-premises and third-party data sources, to provide a comprehensive view of an organization’s environment. This data is then used to help detect, investigate and respond to threats.

If you’re interviewing for a role that involves Azure Sentinel, you can expect to be asked questions about your experience with the platform. In this article, we’ve compiled a list of the most common Azure Sentinel interview questions to help you prepare for your next interview.

Azure Sentinel Interview Questions and Answers

Here are 20 commonly asked Azure Sentinel interview questions and answers to prepare you for your interview:

1. What is Azure Sentinel?

Azure Sentinel is a cloud-native security information event management (SIEM) and security orchestration automated response (SOAR) platform. It helps you detect, investigate, and respond to threats across your entire environment.

2. Can you explain what a security information and event management (SIEM) system is?

A SIEM system is a platform that collects, analyzes, and correlates data from multiple security sources in order to give security teams visibility into potential threats and incidents. Azure Sentinel is a cloud-native SIEM system that can ingest data from a variety of Azure and third-party services, as well as on-premises data sources.

3. How does Azure Sentinel differ from other SIEM solutions?

Azure Sentinel is a cloud-native security information and event management (SIEM) solution that helps you detect and investigate threats across your entire enterprise. It uses built-in artificial intelligence (AI) to analyze data at scale, so you can detect threats faster and more accurately. Azure Sentinel also includes connectors for popular security products and services, so you can collect data from all your security tools in one place for centralized analysis and correlation.

4. What are the key features of Azure Sentinel?

Azure Sentinel is a cloud-native security information and event management (SIEM) solution that helps you detect, investigate, and respond to threats across your entire environment. It uses built-in analytics and machine learning to help you identify and prioritize the most important security issues in your environment. Azure Sentinel also includes a number of features to help you automate the investigation and response to threats, including:

– Playbooks: Playbooks are a set of actions that can be automatically triggered in response to specific events. For example, you could create a playbook that automatically creates a ticket in your helpdesk system whenever a high-severity alert is generated.
– Connectors: Connectors are used to connect Azure Sentinel to other security tools and systems, such as firewalls, intrusion detection systems, and so on. This allows you to collect data from these other systems in Azure Sentinel, and also to automatically trigger playbooks in response to events that occur in these other systems.
– Data sources: Data sources are used to collect data from a variety of sources, including Azure services, third-party security tools, and so on. This data is then used by Azure Sentinel to help you detect and investigate threats.

5. Can you give me some examples of real-world scenarios in which Azure Sentinel can be used?

Azure Sentinel can be used in a number of scenarios, including:

-Monitoring for suspicious activity in your Azure subscription
-Detecting attacks targeting other Azure customers
-Analyzing Azure activity logs for security incidents
-Investigating potential data breaches
-Responding to security alerts generated by other Azure services

6. What are some advantages over traditional SIEMs that make Azure Sentinel stand out?

Azure Sentinel is a cloud-native SIEM that offers several advantages over traditional SIEMs, including the ability to scale elastically to meet changing needs, lower costs, and simplified deployment and management. Additionally, Azure Sentinel integrates with a wide range of data sources and offers built-in machine learning capabilities for threat detection and investigation.

7. What’s the best way to create an Azure Sentinel Workspace?

The best way to create an Azure Sentinel Workspace is to use the Azure Portal.

8. How do I get started with Azure Sentinel?

You can get started with Azure Sentinel by signing up for a free trial, which will give you access to all the features of the service. After signing up, you will need to create a workspace, which is where your data will be stored. Once you have created a workspace, you can start adding data sources, which will allow Sentinel to start collecting data.

9. Does Azure Sentinel support hybrid cloud deployments? If yes, then how?

Yes, Azure Sentinel supports hybrid cloud deployments. This is done by connecting your on-premises data sources to Azure Sentinel via the Azure Sentinel Connector. This allows you to collect and analyze data from your on-premises data sources in Azure Sentinel, providing you with a unified view of your entire environment.

10. What are the different types of data sources supported by Azure Sentinel?

Azure Sentinel supports a variety of data sources, including but not limited to Azure Activity Logs, Azure Monitor Logs, Azure Security Center, Microsoft 365 Defender, and third-party data sources.

11. What’s the difference between Log Analytics and Sentinel?

Log Analytics is a service in Azure that helps you collect and analyze data from your resources in Azure. Sentinel is a security monitoring and analytics service that is built on top of Log Analytics. Sentinel provides you with the ability to detect, investigate, and respond to threats in your environment.

12. What’s the cost of using Azure Sentinel?

Azure Sentinel is a free service, however you do incur charges for the data ingested into the service. These charges depend on the size and volume of the data, and are typically around $0.30 per GB.

13. What are the limitations of using Azure Sentinel for threat detection?

One potential limitation of using Azure Sentinel for threat detection is that it is a cloud-based solution, which means that it may not be able to detect threats that are happening on-premises. Additionally, Azure Sentinel is a relatively new solution, so it may not have as many features and capabilities as some of the more established threat detection solutions on the market.

14. What are some common use cases for Azure Sentinel?

Azure Sentinel is a cloud-native security information event management (SIEM) and security orchestration automated response (SOAR) platform. It can be used to detect and investigate threats, as well as automate responses to incidents. Some common use cases for Azure Sentinel include:

-Monitoring for suspicious activity and investigating potential threats
-Detecting and responding to security incidents
-Automating security operations
-Correlating data from multiple data sources for better threat detection

15. What is your understanding of alerts in the context of Azure Sentinel?

Alerts in Azure Sentinel are generated when certain conditions are met that indicate potential security issues. These conditions can be based on specific events, log data, or other factors. Once an alert is generated, it can be investigated further to determine if there is indeed a security issue that needs to be addressed.

16. What are Data Connectors? How many are available currently?

Data Connectors are used to collect data from various data sources and send it to Azure Sentinel for analysis. There are currently over 80 Data Connectors available.

17. What is KQL? Why is it important?

KQL is the query language used by Azure Sentinel. It is important because it allows you to query data stored in Azure Sentinel in order to generate insights and detect anomalies.

18. What is your opinion on the importance of automation when dealing with security incidents?

I believe that automation is critical when dealing with security incidents. The faster you can identify and respond to an incident, the better. Automation can help you do that by quickly gathering data and providing it to the security team.

19. Where should I store sensitive information like passwords or API keys when setting up a new connection?

You should store sensitive information like passwords or API keys in Azure Key Vault.

20. What are the main differences between Azure Security Center and Azure Sentinel?

Azure Security Center is a security management tool that helps you protect your resources in Azure. Azure Sentinel is a security analytics tool that helps you detect and investigate threats.