You have a Microsoft Sentinel workspace named workspace1 that contains custom Kusto queries.
You need to create a Python-based Jupyter notebook that will create visuals. The visuals will display the results of the queries and be pinned to a dashboard. The solution must minimize development effort.
What should you use to create the visuals?
To create a Python-based Jupyter notebook with visuals that display Kusto query results and can be pinned to a dashboard in Microsoft Sentinel, msticpy is the most appropriate tool. Msticpy is a library specifically designed for InfoSec investigations within Jupyter Notebooks. It includes functionalities like querying log data from multiple sources, creating visuals such as event timelines and geo mappings, as well as enriching data with Threat Intelligence and geolocations. Its built-in support for Kusto queries and pre-built visualizations make it an excellent choice to minimize development effort.
C. msticpy msticpy is a Python library that can be used to quickly and easily create visuals in Jupyter notebooks for Microsoft Sentinel. It has built-in support for Kusto queries, making it easy to retrieve and visualize the results of custom queries you've created in your Sentinel workspace. Additionally, msticpy contains a number of pre-built visualizations and functions that can be easily incorporated into your notebooks, minimizing development effort. So, it is the best option to create the visuals.
MSTICPy reduces the amount of code that customers need to write for Microsoft Sentinel, and provides: Data query capabilities, against Microsoft Sentinel tables, Microsoft Defender for Endpoint, Splunk, and other data sources. Threat intelligence lookups with TI providers, such as VirusTotal and AlienVault OTX. Enrichment functions like geolocation of IP addresses, Indicator of Compromise (IoC) extraction, and WhoIs lookups. Visualization tools using event timelines, process trees, and geo mapping. Advanced analyses, such as time series decomposition, anomaly detection, and clustering.
Correct C
you can use the Plotly Python graphing library. Plotly provides a simple syntax for creating interactive and customizable charts and graphs, and it can be easily integrated with Azure Sentinel.
confirmed that exmITQS is here to confuse everyone and ensure we fail. They are a microsoft plant
hahahaa
Correct C
C is the correct answer
C. msticpy
Correct Option