Google Related Exams
Professional-Data-Engineer Exam
The exam covers:
Designing data processing systems
Building and operationalizing data pipelines
Managing data solutions
Ensuring solution quality
Leveraging machine learning models
The Google Professional Data Engineer and Associate Cloud Engineer exams differ mainly in focus, difficulty level, and job roles.
Flowlogistic wants to use Google BigQuery as their primary analysis system, but they still have Apache Hadoop and Spark workloads that they cannot move to BigQuery. Flowlogistic does not know how to store the data that is common to both workloads. What should they do?
Your company handles data processing for a number of different clients. Each client prefers to use their own suite of analytics tools, with some allowing direct query access via Google BigQuery. You need to secure the data so that clients cannot see each other’s data. You want to ensure appropriate access to the data. Which three steps should you take? (Choose three.)
You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?