Log Analytics Workspaces: Language for Writing Log Queries | Exam DP-203 Microsoft Azure

Log Query Language

Question

Log Analytics Workspaces store the data collected by Azure Monitor Logs.

Log query is the query that is used to retrieve the data from a Log Analytics workspace.

From the given list of languages, select the language in which these Log queries are written?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D. E.

Correct Answer: C

To know more about Azure Monitor Logs, please visit the below-given link:

The language used to write Log queries for Log Analytics Workspaces in Azure is Kusto Query Language (KQL), also known as Azure Data Explorer Query Language. KQL is a query language used to query large amounts of structured, semi-structured, and unstructured data stored in various data sources. It was developed by Microsoft and is optimized for querying large data sets in real-time.

KQL is similar to SQL in some ways, but it has some unique features that make it well-suited for querying log data, including its ability to handle complex nested data structures and its support for querying across multiple tables. KQL also supports advanced features such as time-series analysis, machine learning, and anomaly detection.

PL/SQL is a procedural language used to write stored procedures, functions, and triggers in Oracle databases, and it is not used for querying log data in Azure Monitor Logs.

SQL is a widely used query language for relational databases, but it is not the language used for querying log data in Log Analytics Workspaces.

Python is a general-purpose programming language that can be used for a wide range of tasks, including data analysis and manipulation, but it is not the language used for querying log data in Log Analytics Workspaces.

PostgreSQL is an open-source relational database management system that uses SQL as its primary query language, but it is not the language used for querying log data in Log Analytics Workspaces.