feat: Add notebook for Wide & Deep on Vertex Pipelines

[sakagarwal]

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Adding a notebook to show how to use Wide & Deep on Vertex Pipelines.

REQUIRED: Fill out the below checklists or remove if irrelevant

1. If you are opening a PR for Official Notebooks under the notebooks/official folder, follow this mandatory checklist:

• [x] Use the notebook template as a starting point.
• [x] Follow the style and grammar rules outlined in the above notebook template.
• [x] Verify the notebook runs successfully in Colab since the automated tests cannot guarantee this even when it passes.
• [x] Passes all the required automated checks. You can locally test for formatting and linting with these instructions.
• [x] You have consulted with a tech writer to see if tech writer review is necessary. If so, the notebook has been reviewed by a tech writer, and they have approved it.
• [x] This notebook has been added to the CODEOWNERS file under the Official Notebooks section, pointing to the author or the author's team.
• [x] The Jupyter notebook cleans up any artifacts it has created (datasets, ML models, endpoints, etc) so as not to eat up unnecessary resources.

2. If you are opening a PR for Community Notebooks under the notebooks/community folder:

• [ ] This notebook has been added to the CODEOWNERS file under the Community Notebooks section, pointing to the author or the author's team.
• [ ] Passes all the required formatting and linting checks. You can locally test with these instructions.

3. If you are opening a PR for Community Content under the community-content folder:

• [ ] Make sure your main Content Directory Name is descriptive, informative, and includes some of the key products and attributes of your content, so that it is differentiable from other content
• [ ] The main content directory has been added to the CODEOWNERS file under the Community Content section, pointing to the author or the author's team.
• [ ] Passes all the required formatting and linting checks. You can locally test with these instructions.

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[andrewferlitsch]

File /workspace/workspace/env/lib/python3.9/site-packages/google/cloud/aiplatform/pipeline_jobs.py:461, in PipelineJob._block_until_complete(self) Step #5: Step #4: 458 # Error is only populated when the job state is Step #5: Step #4: 459 # JOB_STATE_FAILED or JOB_STATE_CANCELLED. Step #5: Step #4: 460 if self._gca_resource.state in _PIPELINE_ERROR_STATES: Step #5: Step #4: --> 461 raise RuntimeError("Job failed with:\n%s" % self._gca_resource.error) Step #5: Step #4: 462 else: Step #5: Step #4: 463 _LOGGER.log_action_completed_against_resource("run", "completed", self) Step #5: Step #4: Step #5: Step #4: RuntimeError: Job failed with: Step #5: Step #4: code: 9 Step #5: Step #4: message: "The DAG failed because some tasks failed. The failed tasks are: [exit-handler-1].; Job (project_id = python-docs-samples-tests, job_id = 5977069453404274688) is failed due to the above error.; Failed to handle the job: {project_number = 1012616486416, job_id = 5977069453404274688}"