Update Azure ML XGBoost instructions to Ubuntu 24.04 #978

	name: Build and deploy
	on:
	push:
	tags:
	- "*"
	branches:
	- main
	pull_request:

	# Required shell entrypoint to have properly activated conda environments
	defaults:
	run:
	shell: bash -l {0}

	permissions:
	id-token: write
	contents: read

	jobs:
	conda:
	name: Build (and deploy)
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	with:
	fetch-depth: 0

	- name: Set up Python
	uses: conda-incubator/setup-miniconda@v3
	with:
	activate-environment: deployment-docs-dev
	environment-file: conda/environments/deployment_docs.yml
	miniforge-version: latest

	- name: Build
	env:
	DEPLOYMENT_DOCS_BUILD_STABLE: ${{ startsWith(github.event.ref, 'refs/tags/') && 'true' \|\| 'false' }}
	run: make dirhtml SPHINXOPTS="-W --keep-going -n"

	- uses: aws-actions/configure-aws-credentials@v4
	if: ${{ github.repository == 'rapidsai/deployment' && github.event_name == 'push' }}
	with:
	role-to-assume: ${{ vars.AWS_ROLE_ARN }}
	aws-region: ${{ vars.AWS_REGION }}
	role-duration-seconds: 3600 # 1h

	- name: Sync HTML files to S3
	if: ${{ github.repository == 'rapidsai/deployment' && github.event_name == 'push' }}
	env:
	DESTINATION_DIR: ${{ startsWith(github.event.ref, 'refs/tags/') && 'stable' \|\| 'nightly' }}
	run: aws s3 sync --no-progress --delete build/dirhtml "s3://rapidsai-docs/deployment/html/${DESTINATION_DIR}"

Provide feedback