Google CloudAssociate Data Practitioner
Domain 3Objective 1
3.1 Design and Implement Simple Data Pipelines ASSOCIATE-DATA-PRACTITIONER Practice Questions (Page 1)
Part of the Data Pipeline Orchestration domain, which accounts for ~18% of the ASSOCIATE-DATA-PRACTITIONER exam.
12questions here
3free pages
3concepts
~18%of the exam
Questions 1–5
- 1
A data engineer is designing a batch pipeline that reads data from Cloud Storage, transforms it using Dataflow, and writes the results to BigQuery. Which additional Google Cloud service is needed to schedule and orchestrate this pipeline to run daily?
Select an answer first - 2
A company needs to build a pipeline that ingests data from multiple sources, including Cloud Storage and a transactional database. They need to perform complex transformations and load the results into BigQuery. The pipeline must be able to handle both batch and streaming data. They want to use a single tool for both. Which tool should they use?
Select an answer first - 3
A financial services company must load large volumes of raw transaction data into BigQuery daily. They need to perform complex transformations that involve joining multiple tables and using window functions. The team is highly skilled in SQL but has limited programming experience. Which approach should they choose?
Select an answer first - 4
A company wants to build a batch pipeline that runs nightly. The pipeline reads data from Cloud Storage, transforms it using SQL, and loads it into BigQuery. They want to use a managed service that integrates with BigQuery and supports SQL transformations. Which product should they use?
Select an answer first - 5
A team wants to build a simple transformation pipeline that reads data from a Cloud Storage bucket, transforms it with Dataflow, and stores the output in another Cloud Storage bucket. Which set of services is required to implement this pipeline?
Select an answer first
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