Pass your GCP exam with 200 unique practice questions on BigQuery, Dataflow, Pub/Sub, and Machine Learning pipelines.
Sub Category
- IT Certifications
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Objectives
- Design highly scalable data warehousing solutions using Google BigQuery, implementing advanced partitioning and clustering strategies.
- Architect real-time and batch data processing pipelines using Cloud Dataflow (Apache Beam), Cloud Dataproc (Spark/Hadoop), and Pub/Sub.
- Automate and orchestrate complex ETL workflows utilizing Cloud Composer (Apache Airflow) and manage data governance via Dataplex.
- Operationalize Machine Learning models by preparing training data in Cloud Storage and deploying predictive algorithms using Vertex AI.
Pre Requisites
- A solid foundation in SQL querying and basic Python programming. Familiarity with general cloud computing concepts (such as those covered in the AWS Cloud Practitioner) is highly recommended.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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