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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Building and operationalizing data processing systems30%- Data pipeline implementation
  • 1. Dataproc and Spark-based processing
    • 2. Dataflow pipeline development
      - Data ingestion and transformation
      • 1. ETL/ELT workflows
        • 2. Pub/Sub streaming ingestion
          Operationalizing data and ML pipelines30%- Pipeline automation and orchestration
          • 1. Cloud Composer workflows
            • 2. Scheduling and monitoring pipelines
              - Monitoring and troubleshooting
              • 1. Logging and observability
                • 2. Performance optimization and debugging
                  Maintaining and optimizing data and ML solutions20%- Security and governance
                  • 1. IAM and access control
                    • 2. Data encryption and compliance
                      - Machine learning integration
                      • 1. BigQuery ML usage
                        • 2. Vertex AI integration for pipelines
                          Designing data processing systems20%- Data pipeline architecture design
                          • 1. Batch vs streaming data processing selection
                            • 2. Scalable data ingestion design
                              - Storage and data modeling
                              • 1. Data warehouse design using BigQuery
                                • 2. Data lake architecture on Google Cloud Storage

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                                  Google Data Engineer Sample Questions (Q10-Q15):

                                  NEW QUESTION # 10
                                  Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

                                  Answer: B


                                  NEW QUESTION # 11
                                  Which of the following is NOT true about Dataflow pipelines?

                                  Answer: A

                                  Explanation:
                                  Dataflow pipelines can also run on alternate runtimes like Spark and Flink, as they are built using the Apache Beam SDKs Reference: https://cloud.google.com/dataflow/


                                  NEW QUESTION # 12
                                  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?

                                  Answer: A

                                  Explanation:
                                  In Google Cloud, the Dataflow SDK provides a transform component. It is responsible for the data processing operation. You can use conditional, for loops, and other complex programming structure to create a branching pipeline.
                                  Reference: https://cloud.google.com/dataflow/model/programming-model


                                  NEW QUESTION # 13
                                  You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?

                                  Answer: D


                                  NEW QUESTION # 14
                                  What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

                                  Answer: A

                                  Explanation:
                                  Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output.
                                  Reference:
                                  https://cloud.google.com/dataflow/java-sdk/JavaDoc/com/google/cloud/dataflow/sdk/transforms/windowing/Tri


                                  NEW QUESTION # 15
                                  ......

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