This is a reminder for me or a task if anyone wants :P

Basically, The last two questions aren't really regex's questions.

To do:

• Move said questions to correct place.
• Add new regex questions (Python related!)?
• Maybe add a new ## Regex section, as it is a valuable skill

Is your feature request related to a problem? Please describe.
User Resource lacks tags.

A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

There are some use case for me where certain tags are exempted from a compliance rule and others are not.
Due to lack of tags information being captured as part of IAM user resource, am unable to implem

Description of the new feature

Our organization has approved only alpine based docker images to be used. Can we have alpine image also part of Microsoft official docker image with Azure Powershell Pre-Installed ? Any particular reason it is not already provided ?

I have raised this issue on docs as well. Not sure which is the right place to open up this issue.
https://github.com/MicrosoftD

Version

com.microsoft.ml.spark:mmlspark_2.11:jar:0.18.1
spark= 2.4.3
scala=2.11.12

data (csv with header) https://gist.github.com/ttpro1995/69051647a256af912803c9a16040f43a

download data and save as csv file, put into folder /data/public/HIGGS/higgs.test.predictioncsv

val data = spark.read.option("header","true").option("inferSchema", "true").csv("/data/public/HIGGS

Hi, I read example command here https://docs.microsoft.com/en-us/cli/azure/container?view=azure-cli-latest#examples

and I found wrong command on "Create a container in a container group that runs Windows, with 2 cores and 3.5Gb of memory." Section.

Here your command
az container create -g MyResourceGroup --name myapp --image myimage:latest --ip-address public --ports 8081 --protocol UDP

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Hi, great project. I'd like to make a request. Right now, to exclude rules, you have to modify the code to "a comment containing tfsec:ignore:<RULE> to the offending line in your templates", per the README. It would be very useful if we could do this via CLI args as well, for assessment purposes.

APIs

SparkSession

• python def getActiveSession(cls)
• scala def executeCommand(runner: String, command: String, options: Map[String, String]): DataFrame

DataFrame

• python def transform(self, func)
• python def tail(self, num)
  scala def tail(n: Int): Array[T]
• scala def printSchema(level: Int): Unit
• scala def explain(mode: String): U